Head-to-head comparison

Gemini 3.1 Pro Preview vs. MiMo-V2.5-Pro

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

shared result series: 110
distinct benchmarks: 19
latest retrieval: 2026-09-04

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 3.1 Pro Preview and MiMo-V2.5-Pro
Attribute	Gemini 3.1 Pro Preview	MiMo-V2.5-Pro
Provider	Google	Xiaomi
Released	Feb 19, 2026	Apr 23, 2026
Availability	Preview	Open Source
Model type	Proprietary	Open Weights
Parameters	Not published	1T, 42B active
Architecture	Not published	Mixture of Experts
Context window	1,048,576 tokens	1,000,000 tokens
Knowledge cutoff	Not published	Not published
Technical sources	Model	Model

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 3.1 Pro Preview and MiMo-V2.5-Pro
Price type	Gemini 3.1 Pro Preview	MiMo-V2.5-Pro
API input	$2 ≤200K / $4 >200K	$0.43
API output	$12 ≤200K / $18 >200K	$0.87
Cache read	$0.2 ≤200K / $0.4 >200K	$0.
Cache write (5 min.)	Not listed	Not listed
Cache write (1 hr.)	Not listed	Not listed
Price verified	07/30/2026 Source	07/31/2026 Source

Gemini 3.1 Pro PreviewMiMo-V2.5-Pro

API inputUSD per 1M tokens, base tier

Gemini 3.1 Pro Preview$2

MiMo-V2.5-Pro$0.435

API outputUSD per 1M tokens, base tier

Gemini 3.1 Pro Preview$12

MiMo-V2.5-Pro$0.87

Cache readUSD per 1M tokens, base tier

Gemini 3.1 Pro Preview$0.2

MiMo-V2.5-Pro$0.004

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 3.1 Pro Preview and MiMo-V2.5-Pro
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Gemini 3.1 Pro Preview	Google	Direct from developerUp to 200,000 context tokens	$2	$12	Source07/30/2026
	Google	Direct from developerAbove 200,000 context tokens	$4	$18	Source07/30/2026
	Google	Via OpenRoutergoogle-vertex/global	$2	$12	Source09/08/2026
	Google	Via OpenRoutergoogle-vertex/global/flex	Lowest listed price: $1	Lowest listed price: $6	Source09/08/2026
	Google	Via OpenRoutergoogle-vertex/global/priority	$3.6	$21.6	Source09/08/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio	$2	$12	Source09/08/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/flex	Lowest listed price: $1	Lowest listed price: $6	Source09/08/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/priority	$3.6	$21.6	Source09/08/2026
MiMo-V2.5-Pro	Xiaomi	Direct from developerStandard API	$0.435	$0.87	Source07/31/2026
	AtlasCloud	Via OpenRouteratlas-cloud/fp8	$0.435	$0.87	Source09/08/2026
	DeepInfra	Via OpenRouterdeepinfra/fp8	$0.39	$1.17	Source09/08/2026
	DigitalOcean	Via OpenRouterdigitalocean	$0.4	$1.5	Source09/08/2026
	GMICloud	Via OpenRoutergmicloud/bf16	Lowest listed price: $0.3045	Lowest listed price: $0.609	Source09/08/2026
	Novita	Via OpenRouternovita	$0.4802	$0.9605	Source09/08/2026
	StreamLake	Via OpenRouterstreamlake	$0.522	$1.044	Source09/08/2026
	Xiaomi	Via OpenRouterxiaomi/fp8	$0.435	$0.87	Source09/08/2026

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.

Gemini 3.1 Pro Preview

MiMo-V2.5-Pro

Coding: 94.8 / 97.2 (5 benchmark families)

Reasoning: 100 / 93.1 (2 benchmark families)

Mathematics: 99.9 / 92.1 (2 benchmark families)

Knowledge: 100 / 96.1 (2 benchmark families)

Finance: 98.8 / 98.3 (5 benchmark families)

Legal: 75 / 90.9 (4 benchmark families)

Agentic tasks: 100 / 81 (1 benchmark family)

Health: 97 / 84.7 (3 benchmark families)

48 matched rows from 19 benchmark families were considered. The radar shows 8 of 10 comparable categories.

Gemini 3.1 Pro PreviewMiMo-V2.5-Pro

Code MigrationOverall. Higher is better. No documented setup difference

Gemini 3.1 Pro Preview17.313 %

MiMo-V2.5-Pro21.557 %

CorpFin v2Overall. Higher is better. No documented setup difference

Gemini 3.1 Pro Preview64.491 %

MiMo-V2.5-Pro61.422 %

EMBOverall. Higher is better. No documented setup difference

Gemini 3.1 Pro Preview52.616 %

MiMo-V2.5-Pro55.228 %

Finance Agent (v2)Overall. Higher is better. No documented setup difference

Gemini 3.1 Pro Preview42.982 %

MiMo-V2.5-Pro41.502 %

GPQA DiamondOverall. Higher is better. No documented setup difference

Gemini 3.1 Pro Preview95.454 %

MiMo-V2.5-Pro82.576 %

Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference

Gemini 3.1 Pro Preview0 %

MiMo-V2.5-Pro2.083 %

Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference

Gemini 3.1 Pro Preview20.673 %

MiMo-V2.5-Pro15.865 %

LegalBenchOverall. Higher is better. No documented setup difference

Gemini 3.1 Pro Preview87.398 %

MiMo-V2.5-Pro77.129 %

LiveCodeBench v6Overall. Higher is better. No documented setup difference

Gemini 3.1 Pro Preview88.485 %

MiMo-V2.5-Pro81.354 %

LMArena Text, Style ControlOverall. Higher is better. No documented setup difference

Gemini 3.1 Pro Preview1,486.746

MiMo-V2.5-Pro1,468.271

MedCodeOverall. Higher is better. No documented setup difference

Gemini 3.1 Pro Preview59.062 %

MiMo-V2.5-Pro32.484 %

MedScribeOverall. Higher is better. No documented setup difference

Gemini 3.1 Pro Preview76.114 %

MiMo-V2.5-Pro83.73 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Gemini 3.1 Pro Preview and MiMo-V2.5-Pro
Benchmark and task	Gemini 3.1 Pro Preview	MiMo-V2.5-Pro	Source
Code MigrationOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	17.313 %	Winner21.557 %	Vals AI Source details Data as of: 09/03/2026
CorpFin v2Overall Test details No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better	Winner64.491 %	61.422 %	Vals AI Source details Data as of: 08/12/2026
EMBOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	52.616 %	Winner55.228 %	Vals AI Source details Data as of: 09/03/2026
Finance Agent (v2)Overall Test details No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better	Winner42.982 %	41.502 %	Vals AI Source details Data as of: 09/03/2026
GPQA DiamondOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner95.454 %	82.576 %	Vals AI Source details Data as of: 09/01/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved Test details No documented difference in the test setupVersion: 1Metric: task resolution rateScoring: Higher is better	0 %	Winner2.083 %	Vals AI Source details Data as of: 09/03/2026
Legal Research BenchOverall · All-pass Test details No documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is better	Winner20.673 %	15.865 %	Vals AI Source details Data as of: 09/03/2026
LegalBenchOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner87.398 %	77.129 %	Vals AI Source details Data as of: 09/01/2026
LiveCodeBench v6Overall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner88.485 %	81.354 %	Vals AI Source details Data as of: 09/01/2026
LMArena Text, Style ControlOverall Test details No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGemini 3.1 Pro Preview: Style-controlled Arena rating from 102,763 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 57,416 anonymous pairwise votes.	Winner1,486.746 95% confidence interval: ±3.217The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	1,468.271 95% confidence interval: ±3.92The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	LMArena Source details Data as of: 09/01/2026
MedCodeOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner59.062 %	32.484 %	Vals AI Source details Data as of: 09/03/2026
MedScribeOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	76.114 %	Winner83.73 %	Vals AI Source details Data as of: 09/03/2026
MMLU-ProOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner90.987 %	84.595 %	Vals AI Source details Data as of: 09/01/2026
ProofBenchOverall Test details No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is better	Winner26 %	22 %	Vals AI Source details Data as of: 09/01/2026
SWE-bench VerifiedOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner78.8 %	74 %	Vals AI Source details Data as of: 09/01/2026
TaxEval v2Overall Test details No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better	72.882 %	Winner73.794 %	Vals AI Source details Data as of: 09/01/2026
Terminal-Bench 2.1Overall Test details No documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is better	Winner70.787 %	57.303 %	Vals AI Source details Data as of: 09/03/2026
Vals IndexOverall Test details No documented difference in the test setupVersion: 2Metric: weighted index scoreScoring: Higher is better	Winner41.903 %	40.974 %	Vals AI Source details Data as of: 09/03/2026
Vibe Code Bench v1.1Overall Test details No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Harness: OpenHands	32.034 %	Winner34.113 %	Vals AI Source details Data as of: 09/03/2026
Code MigrationCLI Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	10.833 %	Higher measured value13.981 %	Vals AI Source details Data as of: 08/09/2026
CorpFin v2Exact Pages Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value60.839 %	60.373 %	Vals AI Source details Data as of: 08/06/2026
EMBComps Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	44.505 %	Higher measured value47.341 %	Vals AI Source details Data as of: 08/06/2026
Finance Agent (v2)Adjustments Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value38.361 %	34.386 %	Vals AI Source details Data as of: 08/06/2026
GPQA DiamondFew-Shot CoT Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value95.96 %	80.808 %	Vals AI Source details Data as of: 08/09/2026
LegalBenchConclusion Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value89.257 %	88.031 %	Vals AI Source details Data as of: 08/09/2026
LiveCodeBench v6Easy Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	No direct winner99.068 %	No direct winner99.068 %	Vals AI Source details Data as of: 08/09/2026
LMArena Text, Style ControlBusiness, management and finance Test details No documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGemini 3.1 Pro Preview: Style-controlled Arena rating from 20,283 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 11,336 anonymous pairwise votes.	No clear lead1,476.52 95% confidence interval: ±5.472The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	1,471.792 95% confidence interval: ±6.73The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	LMArena Source details Data as of: 09/01/2026
MMLU-ProBiology Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value95.258 %	92.469 %	Vals AI Source details Data as of: 08/09/2026
SWE-bench Verified<15 min fix Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value88.66 %	82.474 %	Vals AI Source details Data as of: 08/08/2026
TaxEval v2Correctness Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	60.749 %	Higher measured value63.123 %	Vals AI Source details Data as of: 08/09/2026
Terminal-Bench 2.1Easy Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value91.667 %	75 %	Vals AI Source details Data as of: 08/06/2026
Vals IndexCorpFin v2 Test details Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value65.734 %	62.471 %	Vals AI Source details Data as of: 08/09/2026
Code MigrationCOBOL Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	36.753 %	Higher measured value44.286 %	Vals AI Source details Data as of: 08/09/2026
CorpFin v2Max Fitting Context Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value66.9 %	61.422 %	Vals AI Source details Data as of: 08/06/2026
EMBDataroom Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value79.17 %	77.965 %	Vals AI Source details Data as of: 08/06/2026
Finance Agent (v2)All-Pass Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value30.879 %	28.848 %	Vals AI Source details Data as of: 08/06/2026
GPQA DiamondZero-Shot CoT Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value94.949 %	84.343 %	Vals AI Source details Data as of: 08/09/2026
LegalBenchInterpretation Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value83.823 %	79.497 %	Vals AI Source details Data as of: 08/09/2026
LiveCodeBench v6Hard Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value76.571 %	58.571 %	Vals AI Source details Data as of: 08/09/2026
LMArena Text, Style ControlChinese Test details No documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGemini 3.1 Pro Preview: Style-controlled Arena rating from 6,195 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 3,151 anonymous pairwise votes.	No clear lead1,530.803 95% confidence interval: ±8.555The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	1,511.885 95% confidence interval: ±11.287The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	LMArena Source details Data as of: 09/01/2026
MMLU-ProBusiness Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value93.409 %	89.987 %	Vals AI Source details Data as of: 08/09/2026
SWE-bench Verified>4 hours Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	No direct winner33.333 %	No direct winner33.333 %	Vals AI Source details Data as of: 08/08/2026
TaxEval v2Stepwise Reasoning Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value85.016 %	84.464 %	Vals AI Source details Data as of: 08/09/2026
Terminal-Bench 2.1Hard Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value60 %	40 %	Vals AI Source details Data as of: 08/06/2026
Vals IndexFinance Agent v2 Test details Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value42.968 %	41.243 %	Vals AI Source details Data as of: 08/09/2026
Code MigrationCode Quality Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	2.538 / 5	Higher measured value3.382 / 5	Vals AI Source details Data as of: 08/09/2026
CorpFin v2Shared Max Context Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value65.734 %	62.471 %	Vals AI Source details Data as of: 08/06/2026
EMBDCF Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value46.388 %	43.63 %	Vals AI Source details Data as of: 08/06/2026
Finance Agent (v2)Comparables Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	36.66 %	Higher measured value40.15 %	Vals AI Source details Data as of: 08/06/2026
LegalBenchIssue Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value91.48 %	80.173 %	Vals AI Source details Data as of: 08/09/2026
LiveCodeBench v6Medium Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value89.817 %	86.423 %	Vals AI Source details Data as of: 08/09/2026
LMArena Text, Style ControlCoding Test details No documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGemini 3.1 Pro Preview: Style-controlled Arena rating from 28,421 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 15,755 anonymous pairwise votes.	No clear lead1,521.238 95% confidence interval: ±4.96The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	1,520.349 95% confidence interval: ±6.131The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	LMArena Source details Data as of: 09/01/2026
MMLU-ProChemistry Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value93.286 %	90.459 %	Vals AI Source details Data as of: 08/09/2026
SWE-bench Verified1-4 hours Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value42.857 %	33.333 %	Vals AI Source details Data as of: 08/08/2026
Terminal-Bench 2.1Medium Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value75.152 %	65.455 %	Vals AI Source details Data as of: 08/06/2026
Vals IndexSWE-bench Test details No documented difference in the test setupVersion: 1.2Metric: benchmark scoreScoring: Higher is better	Winner72.549 %	66.667 %	Vals AI Source details Data as of: 08/09/2026
EMBLBO Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	37.967 %	Higher measured value47.739 %	Vals AI Source details Data as of: 08/06/2026
Finance Agent (v2)Disclosure Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	46.181 %	Higher measured value53.148 %	Vals AI Source details Data as of: 08/06/2026
LegalBenchRhetoric Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value84.136 %	64.964 %	Vals AI Source details Data as of: 08/09/2026
LMArena Text, Style ControlCreative writing Test details No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGemini 3.1 Pro Preview: Style-controlled Arena rating from 17,931 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 10,262 anonymous pairwise votes.	Winner1,479.063 95% confidence interval: ±5.907The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	1,435.028 95% confidence interval: ±7.065The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	LMArena Source details Data as of: 09/01/2026
MMLU-ProComputer Science Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value92.683 %	88.049 %	Vals AI Source details Data as of: 08/09/2026
SWE-bench Verified15 min - 1 hour Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value77.778 %	74.713 %	Vals AI Source details Data as of: 08/08/2026
Vals IndexTerminal-Bench 2.1 Test details Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value70.787 %	57.303 %	Vals AI Source details Data as of: 08/09/2026
EMBM&A Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	58.833 %	Higher measured value64.098 %	Vals AI Source details Data as of: 08/06/2026
Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Community tests you can inspect

Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.

Pelican on a bicycle

A community classic for free-form SVG drawing.

Gemini 3.1 Pro Preview

API access was unavailable for this run. The model was not evaluated.

First attempt

Run date: 7 Sept 2026
API provider: openrouter
Requested API model: google/gemini-3.1-pro-preview
Pinned endpoint: Google AI Studio | google/gemini-3.1-pro-preview-20260219
Reasoning setting: high
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Not run

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

MiMo-V2.5-Pro

API access was unavailable for this run. The model was not evaluated.

First attempt

Run date: 7 Sept 2026
API provider: openrouter
Requested API model: xiaomi/mimo-v2.5-pro
Pinned endpoint: Xiaomi | xiaomi/mimo-v2.5-pro-20260422
Reasoning setting: high
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Not run

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

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 3.1 Pro Preview and MiMo-V2.5-Pro with other leading models using the same data and benchmark logic.

View the complete LLM comparison