Head-to-head comparison

Gemini 3.8 Flash vs. Mistral Medium 3.5

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

shared result series: 188
distinct benchmarks: 20
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 Medium 3.5
Attribute	Gemini 3.8 Flash	Mistral Medium 3.5
Provider	Google	Mistral AI
Released	Sep 2, 2026	Apr 28, 2026
Availability	Active	Active
Model type	Proprietary	Open Weights
Parameters	Not published	128B
Architecture	Not published	Dense
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 Medium 3.5
Price type	Gemini 3.8 Flash	Mistral Medium 3.5
API input	$0.75	$1.5
API output	$3.75	$7.5
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 Medium 3.5

API inputUSD per 1M tokens, base tier

Gemini 3.8 Flash$0.75

Mistral Medium 3.5$1.5

API outputUSD per 1M tokens, base tier

Gemini 3.8 Flash$3.75

Mistral Medium 3.5$7.5

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 Medium 3.5
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/global	$0.75	$3.75	Source10/18/2026
	Google	Via OpenRoutergoogle-vertex/global/flex	Lowest listed price: $0.375	Lowest listed price: $1.875	Source10/18/2026
	Google	Via OpenRoutergoogle-vertex/global/priority	$1.35	$6.75	Source10/18/2026
	Google	Via OpenRoutergoogle-vertex/us	$0.825	$4.125	Source10/18/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio	$0.75	$3.75	Source10/18/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/flex	Lowest listed price: $0.375	Lowest listed price: $1.875	Source10/18/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/priority	$1.35	$6.75	Source10/18/2026
Mistral Medium 3.5	Mistral AI	Direct from developerStandard API	Lowest listed price: $1.5	Lowest listed price: $7.5	Source09/22/2026
	Mistral	Via OpenRoutermistral	Lowest listed price: $1.5	Lowest listed price: $7.5	Source10/18/2026
	Mistral	Via OpenRoutermistral/eu	$1.65	$8.25	Source10/18/2026
	Mistral	Via OpenRoutermistral/zdr	Lowest listed price: $1.5	Lowest listed price: $7.5	Source10/18/2026

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 Medium 3.5

Code MigrationOverall. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash36.546 %

Mistral Medium 3.55.127 %

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

Gemini 3.8 Flash72.196 %

Mistral Medium 3.511.185 %

Finance Agent (v2)Overall. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash61.435 %

Mistral Medium 3.532.103 %

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

Gemini 3.8 Flash94.444 %

Mistral Medium 3.534.848 %

Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash10 %

Mistral Medium 3.50.417 %

Legal Research BenchOverall · All-pass. Higher is better. Test setup not documented as identical

Gemini 3.8 Flash38.942 %

Mistral Medium 3.59.135 %

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

Gemini 3.8 Flash1,584.77

Mistral Medium 3.51,263.383

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

Gemini 3.8 Flash1,496.319

Mistral Medium 3.51,426.605

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

Gemini 3.8 Flash1,289.129

Mistral Medium 3.51,200.386

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

Gemini 3.8 Flash48.135 %

Mistral Medium 3.533.752 %

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

Gemini 3.8 Flash84.496 %

Mistral Medium 3.567.728 %

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

Gemini 3.8 Flash90.221 %

Mistral Medium 3.575.335 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Gemini 3.8 Flash and Mistral Medium 3.5
Benchmark and task	Gemini 3.8 Flash	Mistral Medium 3.5	Source
Code MigrationOverall 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value36.546 %	5.127 %	Vals AI Source details Data as of: 10/12/2026
EMBOverall 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value72.196 %	11.185 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Overall 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value61.435 %	32.103 %	Vals AI Source details Data as of: 10/12/2026
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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value94.444 %	34.848 %	Vals AI Source details Data as of: 09/01/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value10 %	0.417 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchOverall · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value38.942 %	9.135 %	Vals AI Source details Data as of: 10/12/2026
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 Medium 3.5: Snapshot: mistral-medium-3.5, Harness: Arena Code Arena WebDevGemini 3.8 Flash: Arena rating from 10,077 published pairwise votes.Mistral Medium 3.5: Arena rating from 2,320 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.	1,263.383 95% confidence interval: ±14.784The 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 Medium 3.5: Snapshot: mistral-medium-3.5, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 35,670 published pairwise votes.Mistral Medium 3.5: Arena rating from 11,793 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.	1,426.605 95% confidence interval: ±6.399The 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 Medium 3.5: Snapshot: mistral-medium-3.5, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 3,792 published pairwise votes.Mistral Medium 3.5: Arena rating from 5,375 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.	1,200.386 95% confidence interval: ±9.604The 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
MedCodeOverall 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 Medium 3.5: Reasoning: high, Temperature: 1, Top P: 0.95, Output limit: 30,000 tokens	Higher measured value48.135 %	33.752 %	Vals AI Source details Data as of: 10/13/2026
MedScribeOverall 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 Medium 3.5: Reasoning: high, Temperature: 1, Top P: 0.95, Output limit: 30,000 tokens	Higher measured value84.496 %	67.728 %	Vals AI Source details Data as of: 10/13/2026
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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value90.221 %	75.335 %	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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value65.342 %	28.895 %	Vals AI Source details Data as of: 09/01/2026
ProofBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value48 %	9 %	Vals AI Source details Data as of: 10/12/2026
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 Medium 3.5: Reasoning: high, Temperature: 1, Top P: 0.95, Output limit: 30,000 tokens	35.064 %	Higher measured value37.613 %	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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value80 %	66.4 %	Vals AI Source details Data as of: 09/01/2026
Tax Agent BenchOverall 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value32.124 %	4.482 %	Vals AI Source details Data as of: 10/12/2026
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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value74.448 %	67.988 %	Vals AI Source details Data as of: 09/01/2026
Terminal-Bench 2.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value81.273 %	38.951 %	Vals AI Source details Data as of: 09/28/2026
Vibe Code Bench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens Mistral Medium 3.5: Reasoning: high, Harness: OpenHands, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value78.651 %	2.888 %	Vals AI Source details Data as of: 10/12/2026
Code MigrationCLI 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value25.871 %	4.991 %	Vals AI Source details Data as of: 10/12/2026
EMBComps 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value76.435 %	18.088 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Adjustments 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value54.828 %	27.312 %	Vals AI Source details Data as of: 10/12/2026
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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value94.949 %	34.848 %	Vals AI Source details Data as of: 09/01/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value87.681 %	64.493 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchAdministrative / Regulatory · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value46.97 %	7.576 %	Vals AI Source details Data as of: 10/12/2026
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 Medium 3.5: Snapshot: mistral-medium-3.5, Harness: Arena Code Arena WebDevGemini 3.8 Flash: Arena rating from 10,077 published pairwise votes.Mistral Medium 3.5: Arena rating from 2,320 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.	1,263.383 95% confidence interval: ±14.784The 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 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 Medium 3.5: Snapshot: mistral-medium-3.5, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 6,520 published pairwise votes.Mistral Medium 3.5: Arena rating from 2,257 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.	1,430.463 95% confidence interval: ±12.817The 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 Medium 3.5: Snapshot: mistral-medium-3.5, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 182 published pairwise votes.Mistral Medium 3.5: Arena rating from 288 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.	1,216.486 95% confidence interval: ±38.816The 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value94.979 %	64.435 %	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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value70.588 %	11.924 %	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 Medium 3.5: Reasoning: high, Temperature: 1, Top P: 0.95, Output limit: 30,000 tokens	Higher measured value33.334 %	30.159 %	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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value89.691 %	79.381 %	Vals AI Source details Data as of: 09/01/2026
Tax Agent BenchControversy & Precedence Analysis 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value6.667 %	3.333 %	Vals AI Source details Data as of: 10/12/2026
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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value62.469 %	56.746 %	Vals AI Source details Data as of: 09/01/2026
Terminal-Bench 2.1Easy Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value100 %	66.667 %	Vals AI Source details Data as of: 09/28/2026
Code MigrationCOBOL 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value68.571 %	5.536 %	Vals AI Source details Data as of: 10/12/2026
EMBDataroom 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value86.218 %	13.403 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)All-Pass 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value49.694 %	21.632 %	Vals AI Source details Data as of: 10/12/2026
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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value93.939 %	34.848 %	Vals AI Source details Data as of: 09/01/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	No direct winner0 %	No direct winner0 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value87.613 %	67.472 %	Vals AI Source details Data as of: 10/12/2026
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 Medium 3.5: Snapshot: mistral-medium-3.5, Harness: Arena Code Arena WebDevGemini 3.8 Flash: Arena rating from 1,451 published pairwise votes.Mistral Medium 3.5: Arena rating from 259 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.	1,307.357 95% confidence interval: ±41.479The 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 Medium 3.5: Snapshot: mistral-medium-3.5, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 2,903 published pairwise votes.Mistral Medium 3.5: Arena rating from 620 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.	1,446.79 95% confidence interval: ±23.875The 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 Medium 3.5: Snapshot: mistral-medium-3.5, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 363 published pairwise votes.Mistral Medium 3.5: Arena rating from 342 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.	1,196.259 95% confidence interval: ±33.621The 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value93.79 %	64.385 %	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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value60.095 %	45.866 %	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 Medium 3.5: Reasoning: high, Temperature: 1, Top P: 0.95, Output limit: 30,000 tokens	Higher measured value79.63 %	2.778 %	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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	No direct winner33.333 %	No direct winner33.333 %	Vals AI Source details Data as of: 09/01/2026
Tax Agent BenchControversy & Precedence Analysis 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value59.001 %	18.379 %	Vals AI Source details Data as of: 10/12/2026
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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value86.427 %	79.231 %	Vals AI Source details Data as of: 09/01/2026
Terminal-Bench 2.1Hard Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value72.222 %	15.556 %	Vals AI Source details Data as of: 09/28/2026
Code MigrationCode Quality Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value3.742 / 5	2.987 / 5	Vals AI Source details Data as of: 10/12/2026
EMBDCF 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value63.655 %	2.218 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Comparables 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value52.004 %	31.512 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Criteria passed Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value89.606 %	70.776 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchBusiness & Commercial · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value41.86 %	9.302 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev-react 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 Medium 3.5: Snapshot: mistral-medium-3.5, Harness: Arena Code Arena WebDevGemini 3.8 Flash: Arena rating from 6,460 published pairwise votes.Mistral Medium 3.5: Arena rating from 1,977 published pairwise votes.	Higher measured value1,576.599 95% confidence interval: ±8.938The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,253.399 95% confidence interval: ±16.155The 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 Medium 3.5: Snapshot: mistral-medium-3.5, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 9,370 published pairwise votes.Mistral Medium 3.5: Arena rating from 3,298 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.	1,477.902 95% confidence interval: ±10.821The 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 Medium 3.5: Snapshot: mistral-medium-3.5, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 979 published pairwise votes.Mistral Medium 3.5: Arena rating from 1,540 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.	1,242.126 95% confidence interval: ±16.169The 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value92.491 %	73.057 %	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 Medium 3.5: Reasoning: high, Temperature: 1, Top P: 0.95, Output limit: 30,000 tokens	Higher measured value41.7 %	41.411 %	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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value52.381 %	33.333 %	Vals AI Source details Data as of: 09/01/2026
Tax Agent BenchCurrent & Temporal Analysis 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 Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value43.333 %	6.5 %	Vals AI Source details Data as of: 10/12/2026
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 Medium 3.5

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 Medium 3.5

Reasoning (requested): high

Current attempt

Run date: Oct 1, 2026
API provider: openrouter
Requested API model: mistralai/mistral-medium-3-5
API model reported in response: mistralai/mistral-medium-3-5
Reasoning setting: high
Pinned endpoint: Mistral | mistralai/mistral-medium-3.5-20260430
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: 38.7 s

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

Earlier attempts (1)

Sep 7, 2026API request failedReasoning setting: high

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 Medium 3.5 with other leading models using the same data and benchmark logic.

View the complete LLM comparison

Gemini 3.8 Flash vs. Mistral Medium 3.5

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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 Medium 3.5

Pelican on a bicycle

Winning one benchmark is not an overall verdict

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