Head-to-head comparison

Grok 4.3 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: 116
distinct benchmarks: 22
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 Grok 4.3 and MiMo-V2.5
Attribute	Grok 4.3	MiMo-V2.5
Provider	xAI	Xiaomi
Released	May 6, 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	1,000,000 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 Grok 4.3 and MiMo-V2.5
Price type	Grok 4.3	MiMo-V2.5
API input	$1.25 ≤200K / $2.5 >200K	$0.14
API output	$2.5 ≤200K / $5 >200K	$0.28
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	08/11/2026 Source	07/31/2026 Source

Grok 4.3MiMo-V2.5

API inputUSD per 1M tokens, base tier

Grok 4.3$1.25

MiMo-V2.5$0.14

API outputUSD per 1M tokens, base tier

Grok 4.3$2.5

MiMo-V2.5$0.28

Cache readUSD per 1M tokens, base tier

Grok 4.3$0.2

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 Grok 4.3 and MiMo-V2.5
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Grok 4.3	xAI	Direct from developerUp to 200,000 context tokens	Lowest listed price: $1.25	Lowest listed price: $2.5	Source08/11/2026
	xAI	Direct from developerAbove 200,000 context tokens	$2.5	$5	Source08/11/2026
	xAI	Via OpenRouterxai	Lowest listed price: $1.25	Lowest listed price: $2.5	Source09/06/2026
	xAI	Via OpenRouterxai/priority	$2.5	$5	Source09/06/2026
	xAI	Via OpenRouterxai/zdr	Lowest listed price: $1.25	Lowest listed price: $2.5	Source09/06/2026
	xAI	Via OpenRouterxai/zdr/priority	$2.5	$5	Source09/06/2026
MiMo-V2.5	Xiaomi	Direct from developerStandard API	$0.14	$0.28	Source07/31/2026
	DeepInfra	Via OpenRouterdeepinfra/fp8	$0.13	$0.65	Source09/06/2026
	GMICloud	Via OpenRoutergmicloud/fp8	Lowest listed price: $0.119	Lowest listed price: $0.238	Source09/06/2026
	Novita	Via OpenRouternovita/fp8	$0.168	$0.336	Source09/06/2026
	StreamLake	Via OpenRouterstreamlake	$0.168	$0.336	Source09/06/2026
	Xiaomi	Via OpenRouterxiaomi/fp8	$0.14	$0.28	Source09/06/2026

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.

Grok 4.3

MiMo-V2.5

Coding: 78.7 / 99.2 (5 benchmark families)

Reasoning: 99.6 / 94.6 (2 benchmark families)

Mathematics: 98.7 / 100 (1 benchmark family)

Knowledge: 99.8 / 98.3 (2 benchmark families)

Finance: 85.5 / 97.5 (6 benchmark families)

Legal: 81.3 / 88 (4 benchmark families)

Agentic tasks: 69.1 / 100 (1 benchmark family)

Multimodal: 100 / 96.3 (1 benchmark family)

55 matched rows from 22 benchmark families were considered. The radar shows 8 of 12 comparable categories.

Grok 4.3MiMo-V2.5

Code MigrationOverall. Higher is better. No documented setup difference

Grok 4.36.795 %

MiMo-V2.514.228 %

CorpFin v2Overall. Higher is better. No documented setup difference

Grok 4.368.532 %

MiMo-V2.559.907 %

EMBOverall. Higher is better. No documented setup difference

Grok 4.318.394 %

MiMo-V2.555.092 %

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

Grok 4.337.728 %

MiMo-V2.536.728 %

GPQA DiamondOverall. Higher is better. No documented setup difference

Grok 4.391.414 %

MiMo-V2.581.566 %

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

Grok 4.30.417 %

MiMo-V2.51.667 %

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

Grok 4.315.385 %

MiMo-V2.59.135 %

LegalBenchOverall. Higher is better. No documented setup difference

Grok 4.384.458 %

MiMo-V2.578.886 %

LiveCodeBench v6Overall. Higher is better. No documented setup difference

Grok 4.384.494 %

MiMo-V2.581.512 %

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

Grok 4.31,442.599

MiMo-V2.51,433.798

MedCodeOverall. Higher is better. No documented setup difference

Grok 4.338.068 %

MiMo-V2.531.895 %

MedScribeOverall. Higher is better. No documented setup difference

Grok 4.374.399 %

MiMo-V2.572.151 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Grok 4.3 and MiMo-V2.5
Benchmark and task	Grok 4.3	MiMo-V2.5	Source
Code MigrationOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	6.795 %	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	Winner68.532 %	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	18.394 %	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	Winner37.728 %	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	Winner91.414 %	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	0.417 %	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	Winner15.385 %	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	Winner84.458 %	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	Winner84.494 %	81.512 %	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 betterGrok 4.3: Snapshot: grok-4.3, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGrok 4.3: Style-controlled Arena rating from 65,024 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 44,540 anonymous pairwise votes.	Winner1,442.599 95% confidence interval: ±3.771The 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	Winner38.068 %	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	Winner74.399 %	72.151 %	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	Winner85.838 %	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	Winner83.064 %	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	48.252 %	Winner59.26 %	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	19.736 %	Winner43.265 %	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	Winner71.4 %	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	70.81 %	Winner71.832 %	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	41.948 %	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	24.294 %	Winner39.91 %	Vals AI Source details Data as of: 09/03/2026
Vals Multimodal IndexOverall Test details No documented difference in the test setupVersion: 1.2Metric: weighted index scoreScoring: Higher is better	43.293 %	Winner52.767 %	Vals AI Source details Data as of: 08/11/2026
Vibe Code Bench v1.1Overall Test details No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Harness: OpenHands	19.403 %	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 betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	9.06 %	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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value66.783 %	59.441 %	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 betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value31.863 %	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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value92.929 %	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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value89.912 %	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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	No direct winner98.447 %	No direct winner98.447 %	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 setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGrok 4.3: Snapshot: grok-4.3, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGrok 4.3: Style-controlled Arena rating from 13,131 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 9,127 anonymous pairwise votes.	1,439.103 95% confidence interval: ±6.526The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	No clear lead1,441.542 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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value93.305 %	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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95, Output limit: 256,000 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	37.52 %	Higher measured value61.049 %	Vals AI Source details Data as of: 08/09/2026
SAGEAutomata Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Temperature: 1, Top P: 0.95, Output limit: 30,000 tokens	Winner35.318 %	29.762 %	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 betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value83.505 %	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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	60.589 %	Higher measured value60.752 %	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 betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	75 %	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 betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value70.047 %	60.14 %	Vals AI Source details Data as of: 08/09/2026
Vals Multimodal IndexCorpFin v2 Test details Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value70.047 %	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 betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	0 %	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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value68.765 %	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 betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value26.373 %	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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value89.899 %	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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value81.805 %	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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value66 %	59.143 %	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 betterGrok 4.3: Snapshot: grok-4.3, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGrok 4.3: Style-controlled Arena rating from 3,641 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 2,140 anonymous pairwise votes.	1,479.363 95% confidence interval: ±10.781The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	No clear lead1,483.45 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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value92.902 %	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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95, Output limit: 256,000 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value58.983 %	57.472 %	Vals AI Source details Data as of: 08/09/2026
SAGELinear Algebra Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Temperature: 1, Top P: 0.95, Output limit: 30,000 tokens	18.334 %	Winner58.762 %	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 betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	81.03 %	Higher measured value82.911 %	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 betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	14.444 %	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 betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value37.766 %	37.61 %	Vals AI Source details Data as of: 08/09/2026
Vals Multimodal IndexFinance Agent v2 Test details Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value37.766 %	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 betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value3.098 / 5	2.788 / 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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value70.047 %	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 betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value35.857 %	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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value89.182 %	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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value89.034 %	86.945 %	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 betterGrok 4.3: Snapshot: grok-4.3, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGrok 4.3: Style-controlled Arena rating from 18,240 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 12,854 anonymous pairwise votes.	1,487.832 95% confidence interval: ±5.841The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	No clear lead1,491.02 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 betterGrok 4.3: Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value91.608 %	89.841 %	Vals AI Source details Data as of: 08/09/2026
SAGEPartial Differential Equations Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Temperature: 1, Top P: 0.95, Output limit: 30,000 tokens	5.556 %	Winner41.27 %	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 betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value38.095 %	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 betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	54.545 %	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	Winner70.588 %	64.706 %	Vals AI Source details Data as of: 08/09/2026
Vals Multimodal IndexMortgage Tax Test details Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGrok 4.3: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 256,000 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	48.252 %	Higher measured value59.26 %	Vals AI Source details Data as of: 08/09/2026
Key to the marks:better valuebetter, but not conclusivetie

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.

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