Head-to-head comparison

Gemini 3.5 Flash-Lite vs. MiMo-V2.5

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

shared result series: 108
distinct benchmarks: 21
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 3.5 Flash-Lite and MiMo-V2.5
Attribute	Gemini 3.5 Flash-Lite	MiMo-V2.5
Provider	Google	Xiaomi
Released	Jul 21, 2026	Apr 23, 2026
Availability	Active	Open Source
Model type	Proprietary	Open Weights
Parameters	Not published	Not published
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, 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 3.5 Flash-Lite and MiMo-V2.5
Price type	Gemini 3.5 Flash-Lite	MiMo-V2.5
API input	$0.3	$0.14
API output	$2.5	$0.28
Cache read	$0.03	$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 3.5 Flash-LiteMiMo-V2.5

API inputUSD per 1M tokens, base tier

Gemini 3.5 Flash-Lite$0.3

MiMo-V2.5$0.14

API outputUSD per 1M tokens, base tier

Gemini 3.5 Flash-Lite$2.5

MiMo-V2.5$0.28

Cache readUSD per 1M tokens, base tier

Gemini 3.5 Flash-Lite$0.03

MiMo-V2.5$0.003

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 3.5 Flash-Lite and MiMo-V2.5
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Gemini 3.5 Flash-Lite	Google	Direct from developerStandard API	$0.3	$2.5	Source07/30/2026
	Google	Via OpenRoutergoogle-vertex/eu	$0.33	$2.75	Source09/07/2026
	Google	Via OpenRoutergoogle-vertex/global	$0.3	$2.5	Source09/07/2026
	Google	Via OpenRoutergoogle-vertex/global/flex	Lowest listed price: $0.15	Lowest listed price: $1.25	Source09/07/2026
	Google	Via OpenRoutergoogle-vertex/global/priority	$0.54	$4.5	Source09/07/2026
	Google	Via OpenRoutergoogle-vertex/us	$0.33	$2.75	Source09/07/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio	$0.3	$2.5	Source09/07/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/flex	Lowest listed price: $0.15	Lowest listed price: $1.25	Source09/07/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/priority	$0.54	$4.5	Source09/07/2026
MiMo-V2.5	Xiaomi	Direct from developerStandard API	$0.14	$0.28	Source07/31/2026
	DeepInfra	Via OpenRouterdeepinfra/fp8	$0.13	$0.65	Source09/07/2026
	GMICloud	Via OpenRoutergmicloud/fp8	Lowest listed price: $0.119	Lowest listed price: $0.238	Source09/07/2026
	Novita	Via OpenRouternovita/fp8	$0.168	$0.336	Source09/07/2026
	StreamLake	Via OpenRouterstreamlake	$0.168	$0.336	Source09/07/2026
	Xiaomi	Via OpenRouterxiaomi/fp8	$0.14	$0.28	Source09/07/2026

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 3.5 Flash-Lite

MiMo-V2.5

Coding: 85.7 / 98.8 (5 benchmark families)

Reasoning: 99.9 / 98.4 (2 benchmark families)

Mathematics: 99.8 / 100 (1 benchmark family)

Knowledge: 100 / 97.9 (2 benchmark families)

Finance: 96.4 / 93.3 (6 benchmark families)

Legal: 75 / 89.3 (4 benchmark families)

Agentic tasks: 82.7 / 100 (1 benchmark family)

Multimodal: 100 / 95.7 (1 benchmark family)

50 matched rows from 21 benchmark families were considered. The radar shows 8 of 12 comparable categories.

Gemini 3.5 Flash-LiteMiMo-V2.5

Code MigrationOverall. Higher is better. No documented setup difference

Gemini 3.5 Flash-Lite6.148 %

MiMo-V2.514.228 %

CorpFin v2Overall. Higher is better. No documented setup difference

Gemini 3.5 Flash-Lite60.684 %

MiMo-V2.559.907 %

EMBOverall. Higher is better. No documented setup difference

Gemini 3.5 Flash-Lite43.231 %

MiMo-V2.555.092 %

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

Gemini 3.5 Flash-Lite47.442 %

MiMo-V2.536.728 %

GPQA DiamondOverall. Higher is better. No documented setup difference

Gemini 3.5 Flash-Lite83.838 %

MiMo-V2.581.566 %

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

Gemini 3.5 Flash-Lite0 %

MiMo-V2.51.667 %

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

Gemini 3.5 Flash-Lite13.942 %

MiMo-V2.59.135 %

LegalBenchOverall. Higher is better. No documented setup difference

Gemini 3.5 Flash-Lite84.073 %

MiMo-V2.578.886 %

LiveCodeBench v6Overall. Higher is better. No documented setup difference

Gemini 3.5 Flash-Lite79.014 %

MiMo-V2.581.512 %

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

Gemini 3.5 Flash-Lite1,456.812

MiMo-V2.51,433.798

MedCodeOverall. Higher is better. No documented setup difference

Gemini 3.5 Flash-Lite43.489 %

MiMo-V2.531.895 %

MedScribeOverall. Higher is better. No documented setup difference

Gemini 3.5 Flash-Lite70.886 %

MiMo-V2.572.151 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Gemini 3.5 Flash-Lite and MiMo-V2.5
Benchmark and task	Gemini 3.5 Flash-Lite	MiMo-V2.5	Source
Code MigrationOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	6.148 %	Winner14.228 %	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	Winner60.684 %	59.907 %	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	43.231 %	Winner55.092 %	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	Winner47.442 %	36.728 %	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	Winner83.838 %	81.566 %	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 %	Winner1.667 %	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	Winner13.942 %	9.135 %	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	Winner84.073 %	78.886 %	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	79.014 %	Winner81.512 %	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 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGemini 3.5 Flash-Lite: Style-controlled Arena rating from 21,843 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 44,540 anonymous pairwise votes.	Winner1,456.812 95% confidence interval: ±5.216The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	1,433.798 95% confidence interval: ±4.342The 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	Winner43.489 %	31.895 %	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	70.886 %	Winner72.151 %	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	Winner85.836 %	82.931 %	Vals AI Source details Data as of: 09/01/2026
MMMU-ProOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner83.584 %	80 %	Vals AI Source details Data as of: 09/01/2026
MortgageTaxOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner68.68 %	59.26 %	Vals AI Source details Data as of: 09/01/2026
SAGEOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner47.303 %	43.265 %	Vals AI Source details Data as of: 09/03/2026
SWE-bench VerifiedOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner75 %	71 %	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	Winner72.608 %	71.832 %	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	50.187 %	Winner60.674 %	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	36.711 %	Winner39.91 %	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	37.161 %	Winner42.174 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	5.875 %	Higher measured value9.88 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	57.459 %	Higher measured value59.441 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value41.741 %	31.746 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value81.818 %	79.798 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value88.404 %	86.386 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value98.758 %	98.447 %	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 setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGemini 3.5 Flash-Lite: Style-controlled Arena rating from 4,096 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 9,127 anonymous pairwise votes.	Winner1,459.944 95% confidence interval: ±9.744The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	1,441.542 95% confidence interval: ±7.42The 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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value91.911 %	90.237 %	Vals AI Source details Data as of: 08/09/2026
MortgageTaxNumerical Extraction Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value75.835 %	61.049 %	Vals AI Source details Data as of: 08/09/2026
SAGEAutomata Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 30,000 tokens	28.968 %	Higher measured value29.762 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value85.567 %	80.928 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value61.733 %	60.752 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	66.667 %	Higher measured value100 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value62.238 %	60.14 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	6.964 %	Higher measured value27.273 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value62.354 %	60.14 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value35.265 %	23.785 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value85.859 %	83.333 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value80.332 %	74.351 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	53.429 %	Higher measured value59.143 %	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 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGemini 3.5 Flash-Lite: Style-controlled Arena rating from 1,535 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 2,140 anonymous pairwise votes.	No clear lead1,483.996 95% confidence interval: ±15.959The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	1,483.45 95% confidence interval: ±13.352The 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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value90.621 %	89.227 %	Vals AI Source details Data as of: 08/09/2026
MortgageTaxSemantic Extraction Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value61.526 %	57.472 %	Vals AI Source details Data as of: 08/09/2026
SAGELinear Algebra Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 30,000 tokens	Higher measured value63.736 %	58.762 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value33.333 %	0 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value83.483 %	82.911 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	31.111 %	Higher measured value36.667 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value46.626 %	37.61 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	2.652 / 5	Higher measured value2.788 / 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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value62.238 %	60.14 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value45.186 %	31.672 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value89.325 %	86.337 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	84.856 %	Higher measured value86.945 %	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 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGemini 3.5 Flash-Lite: Style-controlled Arena rating from 6,146 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 12,854 anonymous pairwise votes.	No clear lead1,503.03 95% confidence interval: ±8.334The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	1,491.02 95% confidence interval: ±6.676The 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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value90.989 %	89.841 %	Vals AI Source details Data as of: 08/09/2026
SAGEPartial Differential Equations Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 30,000 tokens	Higher measured value49.206 %	41.27 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value40.476 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	59.394 %	Higher measured value70.909 %	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	Winner68.627 %	64.706 %	Vals AI Source details Data as of: 08/09/2026
Finance Agent (v2)Disclosure Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value56.138 %	47.346 %	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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value80.595 %	77.776 %	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 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGemini 3.5 Flash-Lite: Style-controlled Arena rating from 4,491 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 7,343 anonymous pairwise votes.	Winner1,436.233 95% confidence interval: ±9.77The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	1,392.817 95% confidence interval: ±8.004The 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 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value87.561 %	86.585 %	Vals AI Source details Data as of: 08/09/2026
Key to the marks:better valuebetter, but not conclusivetie

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