Head-to-head comparison

Gemini 3.8 Flash vs. Mistral Large 3

Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.

shared result series: 85
distinct benchmarks: 12
latest retrieval: 2026-10-15

First modelSecond model

Specifications

General specifications

Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.

Specifications for Gemini 3.8 Flash and Mistral Large 3
Attribute	Gemini 3.8 Flash	Mistral Large 3
Provider	Google	Mistral AI
Released	Sep 2, 2026	Dec 2, 2025
Availability	Active	Active
Model type	Proprietary	Open Weights
Parameters	Not published	675B, 41B active
Architecture	Not published	Mixture of Experts
Context window	1,048,576 tokens	262,144 tokens
Knowledge cutoff	March 2026	Not published
Technical sources	Model, Knowledge cutoff	Model, Context

Pricing

API pricing compared

The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.

API pricing for Gemini 3.8 Flash and Mistral Large 3
Price type	Gemini 3.8 Flash	Mistral Large 3
API input	$0.75	$0.5
API output	$3.75	$1.5
Cache read	$0.075	Not listed
Cache write (5 min.)	Not listed	Not listed
Cache write (1 hr.)	Not listed	Not listed
Price verified	09/22/2026 Source	09/22/2026 Source

Gemini 3.8 FlashMistral Large 3

API inputUSD per 1M tokens, base tier

Gemini 3.8 Flash$0.75

Mistral Large 3$0.5

API outputUSD per 1M tokens, base tier

Gemini 3.8 Flash$3.75

Mistral Large 3$1.5

Key to the marks:better valuebetter, but not conclusivetie

Pricing by provider

Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.

Provider pricing for Gemini 3.8 Flash and Mistral Large 3
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Gemini 3.8 Flash	Google	Direct from developerStandard API	$0.75	$3.75	Source09/22/2026
	Google	Via OpenRoutergoogle-vertex/us	$0.825	$4.125	Source10/17/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio	$0.75	$3.75	Source10/17/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/flex	Lowest listed price: $0.375	Lowest listed price: $1.875	Source10/17/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/priority	$1.35	$6.75	Source10/17/2026
Mistral Large 3	Mistral AI	Direct from developerStandard API	Lowest listed price: $0.5	Lowest listed price: $1.5	Source09/22/2026
	Mistral	Via OpenRoutermistral/eu	$0.55	$1.65	Source10/17/2026
	Mistral	Via OpenRoutermistral/zdr	Lowest listed price: $0.5	Lowest listed price: $1.5	Source10/17/2026

Performance

Shared benchmarks

Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.

Capability profile from matched benchmarks

Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.

Not enough directly matched categories for a reliable radar

Only 0 of at least 5 categories have comparable, direct model measurements. The benchmark tables below show the available evidence without filling missing axes.

Gemini 3.8 FlashMistral Large 3

GPQA DiamondOverall. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash94.444 %

Mistral Large 368.434 %

LegalBenchOverall. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash86.993 %

Mistral Large 379.138 %

LiveCodeBench v6Overall. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash89.484 %

Mistral Large 355.337 %

LMArena Code Arena WebDevOverall. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash1,584.77

Mistral Large 31,230.205

LMArena Text, Style ControlOverall. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash1,496.319

Mistral Large 31,414.136

LMArena Vision, Style ControlOverall. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash1,289.129

Mistral Large 31,199.757

MMLU-ProOverall. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash90.221 %

Mistral Large 379.823 %

MMMU-ProOverall. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash89.075 %

Mistral Large 366.185 %

MortgageTaxOverall. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash65.342 %

Mistral Large 352.106 %

SAGEOverall. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash35.064 %

Mistral Large 324.595 %

SWE-bench VerifiedOverall. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash80 %

Mistral Large 341.4 %

TaxEval v2Overall. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash74.448 %

Mistral Large 373.058 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Gemini 3.8 Flash and Mistral Large 3
Benchmark and task	Gemini 3.8 Flash	Mistral Large 3	Source
GPQA DiamondOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value94.444 %	68.434 %	Vals AI Source details Data as of: 09/01/2026
LegalBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value86.993 %	79.138 %	Vals AI Source details Data as of: 10/13/2026
LiveCodeBench v6Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value89.484 %	55.337 %	Vals AI Source details Data as of: 09/01/2026
LMArena Code Arena WebDevOverall Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Code Arena WebDevGemini 3.8 Flash: Arena rating from 10,077 published pairwise votes.Mistral Large 3: Arena rating from 839 published pairwise votes.	Higher measured value1,584.77 95% confidence interval: ±7.59The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,230.205 95% confidence interval: ±25.485The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlOverall Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 35,670 published pairwise votes.Mistral Large 3: Arena rating from 83,498 published pairwise votes.	Higher measured value1,496.319 95% confidence interval: ±4.654The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,414.136 95% confidence interval: ±2.865The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlOverall Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 3,792 published pairwise votes.Mistral Large 3: Arena rating from 8,643 published pairwise votes.	Higher measured value1,289.129 95% confidence interval: ±10.62The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,199.757 95% confidence interval: ±7.981The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
MMLU-ProOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value90.221 %	79.823 %	Vals AI Source details Data as of: 09/01/2026
MMMU-ProOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value89.075 %	66.185 %	Vals AI Source details Data as of: 09/01/2026
MortgageTaxOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value65.342 %	52.106 %	Vals AI Source details Data as of: 09/01/2026
SAGEOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens Mistral Large 3: Temperature: 1, Output limit: 30,000 tokens	Higher measured value35.064 %	24.595 %	Vals AI Source details Data as of: 10/08/2026
SWE-bench VerifiedOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value80 %	41.4 %	Vals AI Source details Data as of: 09/01/2026
TaxEval v2Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value74.448 %	73.058 %	Vals AI Source details Data as of: 09/01/2026
GPQA DiamondFew-Shot CoT Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value94.949 %	64.141 %	Vals AI Source details Data as of: 09/01/2026
LegalBenchConclusion Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value90.691 %	81.032 %	Vals AI Source details Data as of: 10/13/2026
LiveCodeBench v6Easy Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value99.068 %	95.342 %	Vals AI Source details Data as of: 09/01/2026
LMArena Code Arena WebDevImage to webdev Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Code Arena WebDevGemini 3.8 Flash: Arena rating from 2,015 published pairwise votes.Mistral Large 3: Arena rating from 1,413 published pairwise votes.	Higher measured value1,593.067 95% confidence interval: ±13.862The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,361.78 95% confidence interval: ±17.387The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
LMArena Text, Style ControlBusiness, management and finance Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 6,520 published pairwise votes.Mistral Large 3: Arena rating from 15,540 published pairwise votes.	Higher measured value1,479.887 95% confidence interval: ±8.136The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,409.853 95% confidence interval: ±5.362The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlChinese Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 182 published pairwise votes.Mistral Large 3: Arena rating from 540 published pairwise votes.	Higher measured value1,379.729 95% confidence interval: ±43.521The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,211.728 95% confidence interval: ±27.072The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
MMLU-ProBiology Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value94.979 %	88.563 %	Vals AI Source details Data as of: 09/01/2026
MortgageTaxNumerical Extraction Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value70.588 %	50 %	Vals AI Source details Data as of: 09/01/2026
SAGEAutomata Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens Mistral Large 3: Temperature: 1, Output limit: 30,000 tokens	Higher measured value33.334 %	11.905 %	Vals AI Source details Data as of: 10/08/2026
SWE-bench Verified<15 min fix Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value89.691 %	56.186 %	Vals AI Source details Data as of: 09/01/2026
TaxEval v2Correctness Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value62.469 %	61.57 %	Vals AI Source details Data as of: 09/01/2026
GPQA DiamondZero-Shot CoT Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value93.939 %	72.727 %	Vals AI Source details Data as of: 09/01/2026
LegalBenchInterpretation Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value84.589 %	76.594 %	Vals AI Source details Data as of: 10/13/2026
LiveCodeBench v6Hard Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value78 %	17.143 %	Vals AI Source details Data as of: 09/01/2026
LMArena Code Arena WebDevWebdev Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Code Arena WebDevGemini 3.8 Flash: Arena rating from 10,077 published pairwise votes.Mistral Large 3: Arena rating from 839 published pairwise votes.	Higher measured value1,584.77 95% confidence interval: ±7.59The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,230.205 95% confidence interval: ±25.485The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlChinese Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 2,903 published pairwise votes.Mistral Large 3: Arena rating from 6,341 published pairwise votes.	Higher measured value1,532.833 95% confidence interval: ±11.757The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,432.609 95% confidence interval: ±7.919The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlCreative writing vision Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 363 published pairwise votes.Mistral Large 3: Arena rating from 807 published pairwise votes.	Higher measured value1,263.378 95% confidence interval: ±32.508The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,196.146 95% confidence interval: ±22.467The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
MMLU-ProBusiness Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value93.79 %	84.664 %	Vals AI Source details Data as of: 09/01/2026
MortgageTaxSemantic Extraction Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value60.095 %	54.213 %	Vals AI Source details Data as of: 09/01/2026
SAGECalculus Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens Mistral Large 3: Temperature: 1, Output limit: 30,000 tokens	Higher measured value79.63 %	0 %	Vals AI Source details Data as of: 10/08/2026
SWE-bench Verified>4 hours Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	No direct winner33.333 %	No direct winner33.333 %	Vals AI Source details Data as of: 09/01/2026
TaxEval v2Stepwise Reasoning Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value86.427 %	84.546 %	Vals AI Source details Data as of: 09/01/2026
LegalBenchIssue Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value91.278 %	81.006 %	Vals AI Source details Data as of: 10/13/2026
LiveCodeBench v6Medium Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value91.384 %	53.525 %	Vals AI Source details Data as of: 09/01/2026
LMArena Code Arena WebDevWebdev-html Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Code Arena WebDevGemini 3.8 Flash: Arena rating from 1,451 published pairwise votes.Mistral Large 3: Arena rating from 839 published pairwise votes.	Higher measured value1,620.104 95% confidence interval: ±17.559The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,238.427 95% confidence interval: ±26.132The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlCoding Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 9,370 published pairwise votes.Mistral Large 3: Arena rating from 21,009 published pairwise votes.	Higher measured value1,527.417 95% confidence interval: ±7.214The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,470.833 95% confidence interval: ±4.783The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlDiagram Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 979 published pairwise votes.Mistral Large 3: Arena rating from 2,169 published pairwise votes.	Higher measured value1,333.17 95% confidence interval: ±19.627The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,235.106 95% confidence interval: ±13.517The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
MMLU-ProChemistry Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value92.491 %	84.982 %	Vals AI Source details Data as of: 09/01/2026
SAGELinear Algebra Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens Mistral Large 3: Temperature: 1, Output limit: 30,000 tokens	41.7 %	Higher measured value44.419 %	Vals AI Source details Data as of: 10/08/2026
SWE-bench Verified1-4 hours Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value52.381 %	4.762 %	Vals AI Source details Data as of: 09/01/2026
LegalBenchRhetoric Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value81.333 %	77.926 %	Vals AI Source details Data as of: 10/13/2026
LMArena Text, Style ControlCreative writing Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 7,858 published pairwise votes.Mistral Large 3: Arena rating from 14,972 published pairwise votes.	Higher measured value1,486.541 95% confidence interval: ±8.055The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,373.958 95% confidence interval: ±5.611The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlEnglish Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 1,275 published pairwise votes.Mistral Large 3: Arena rating from 2,983 published pairwise votes.	Higher measured value1,285.798 95% confidence interval: ±17.531The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,210.278 95% confidence interval: ±12.173The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
MMLU-ProComputer Science Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value92.683 %	83.171 %	Vals AI Source details Data as of: 09/01/2026
SAGEPartial Differential Equations Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens Mistral Large 3: Temperature: 1, Output limit: 30,000 tokens	Higher measured value30.159 %	17.46 %	Vals AI Source details Data as of: 10/08/2026
SWE-bench Verified15 min - 1 hour Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value77.778 %	36.398 %	Vals AI Source details Data as of: 09/01/2026
LegalBenchRule Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value87.076 %	79.13 %	Vals AI Source details Data as of: 10/13/2026
LMArena Text, Style ControlEnglish Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 14,107 published pairwise votes.Mistral Large 3: Arena rating from 34,656 published pairwise votes.	Higher measured value1,498.948 95% confidence interval: ±6.311The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,426.99 95% confidence interval: ±3.961The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlHomework Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 526 published pairwise votes.Mistral Large 3: Arena rating from 891 published pairwise votes.	Higher measured value1,336.77 95% confidence interval: ±25.326The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,211.931 95% confidence interval: ±20.61The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
MMLU-ProEconomics Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value92.062 %	85.782 %	Vals AI Source details Data as of: 09/01/2026
LMArena Text, Style ControlEntertainment, sports and media Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 9,419 published pairwise votes.Mistral Large 3: Arena rating from 18,448 published pairwise votes.	Higher measured value1,474.929 95% confidence interval: ±7.494The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,372.089 95% confidence interval: ±5.132The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlOcr Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 2,570 published pairwise votes.Mistral Large 3: Arena rating from 5,778 published pairwise votes.	Higher measured value1,316.529 95% confidence interval: ±12.271The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,215.499 95% confidence interval: ±8.709The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
MMLU-ProEngineering Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value88.751 %	74.923 %	Vals AI Source details Data as of: 09/01/2026
LMArena Text, Style ControlExcluding ties Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 26,367 published pairwise votes.Mistral Large 3: Arena rating from 61,071 published pairwise votes.	Higher measured value1,514.248 95% confidence interval: ±6.289The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,401.523 95% confidence interval: ±3.976The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
MMLU-ProHealth Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value84.474 %	77.262 %	Vals AI Source details Data as of: 09/01/2026
LMArena Text, Style ControlExpert prompts Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 4,217 published pairwise votes.Mistral Large 3: Arena rating from 7,976 published pairwise votes.	Higher measured value1,524.871 95% confidence interval: ±9.819The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,427.286 95% confidence interval: ±7.215The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
MMLU-ProHistory Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value83.727 %	70.866 %	Vals AI Source details Data as of: 09/01/2026
LMArena Text, Style ControlFrench Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 1,165 published pairwise votes.Mistral Large 3: Arena rating from 2,379 published pairwise votes.	Higher measured value1,497.195 95% confidence interval: ±19.098The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,432.543 95% confidence interval: ±13.786The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
MMLU-ProLaw Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value82.016 %	56.403 %	Vals AI Source details Data as of: 09/01/2026
LMArena Text, Style ControlGerman Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 563 published pairwise votes.Mistral Large 3: Arena rating from 1,359 published pairwise votes.	Higher measured value1,491.027 95% confidence interval: ±24.81The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,407.953 95% confidence interval: ±17.201The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
MMLU-ProMath Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value96.151 %	88.379 %	Vals AI Source details Data as of: 09/01/2026
LMArena Text, Style ControlHard prompts Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Mistral Large 3: Snapshot: mistral-large-3, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 23,047 published pairwise votes.Mistral Large 3: Arena rating from 50,980 published pairwise votes.	Higher measured value1,516.645 95% confidence interval: ±5.584The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,432.155 95% confidence interval: ±3.56The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Our tests

SVG short test

One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.

Shared test round: 4ae5d8eeb9a9

Gemini 3.8 Flash

Unavailable in this round

Mistral Large 3

API request failed. The model was not evaluated.

Earlier tests

Pelican on a bicycle

A community classic for free-form SVG drawing.

Gemini 3.8 Flash

The response reached the token limit. No complete recording is available.

Reasoning (requested): high

Current attempt

Run date: Oct 5, 2026
API provider: openrouter
Requested API model: google/gemini-3.8-flash
API model reported in response: google/gemini-3.8-flash
Reasoning setting: high
Pinned endpoint: Google AI Studio | google/gemini-3.8-flash-20260902
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Failed
Response time: 40.2 s

Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.

Earlier attempts (3)

Oct 2, 2026API request failedReasoning setting: high
Oct 1, 2026API request failedReasoning setting: high
Sep 7, 2026API request failedReasoning setting: high

Mistral Large 3

Reasoning (model default): no reasoning mode Source

Current attempt

Run date: Oct 1, 2026
API provider: openrouter
Requested API model: mistralai/mistral-large-2512
API model reported in response: mistralai/mistral-large-2512
Reasoning setting: not specified
Pinned endpoint: Mistral | mistralai/mistral-large-2512
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Passed, not a quality rating
Response time: 14.2 s

Visually reviewed. This individual test does not establish overall model quality.

Earlier attempts (1)

Sep 7, 2026API request failedReasoning setting: not specified

Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)

How to read this comparison

Winning one benchmark is not an overall verdict

Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.

The standard price table uses direct developer rates. The provider comparison labels OpenRouter endpoints, regions, and special tariffs separately.

Every result links to its measurement source and retrieval date. Labels distinguish vendor reports, official benchmark leaderboards, and independent evaluations. Disputed or archived results are excluded.

More matchups

Compare Gemini 3.8 Flash and Mistral Large 3 with other leading models using the same data and benchmark logic.

View the complete LLM comparison

Gemini 3.8 Flash vs. Mistral Large 3

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General specifications

API pricing compared

Shared benchmarks

Capability profile from matched benchmarks

Our tests

SVG short test

Gemini 3.8 Flash

Mistral Large 3

Pelican on a bicycle

Winning one benchmark is not an overall verdict

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