Head-to-head comparison

Qwen 3.8 Max 0902 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: 174
distinct benchmarks: 29
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 Qwen 3.8 Max 0902 and Mistral Medium 3.5
Attribute	Qwen 3.8 Max 0902	Mistral Medium 3.5
Provider	Alibaba	Mistral AI
Released	Sep 2, 2026	Apr 28, 2026
Availability	API-only	Active
Model type	Proprietary	Open Weights
Parameters	2.4T	128B
Architecture	Mixture of Experts	Dense
Context window	1,000,000 tokens	262,144 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 Qwen 3.8 Max 0902 and Mistral Medium 3.5
Price type	Qwen 3.8 Max 0902	Mistral Medium 3.5
API input	$1.65	$1.5
API output	$4.951	$7.5
Cache read	$0.137	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

Qwen 3.8 Max 0902Mistral Medium 3.5

API inputUSD per 1M tokens, base tier

Qwen 3.8 Max 0902$1.65

Mistral Medium 3.5$1.5

API outputUSD per 1M tokens, base tier

Qwen 3.8 Max 0902$4.951

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 Qwen 3.8 Max 0902 and Mistral Medium 3.5
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Qwen 3.8 Max 0902	Alibaba	Direct from developerStandard API	Lowest listed price: $1.65	Lowest listed price: $4.951	Source09/22/2026
	Alibaba	Via OpenRouteralibaba	$2	$6	Source10/18/2026
	Alibaba	Via OpenRouteralibaba/us-east-1	$2	$6	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.

Qwen 3.8 Max 0902

Mistral Medium 3.5

Coding: 100 / 38 (2 benchmark families)

Reasoning: 100 / 43.5 (3 benchmark families)

Knowledge: 100 / 0 (1 benchmark family)

Agentic tasks: 100 / 29.8 (3 benchmark families)

Overall: 100 / 52.7 (2 benchmark families)

14 matched rows from 11 benchmark families were considered. The radar shows 5 of 5 comparable categories.

Qwen 3.8 Max 0902Mistral Medium 3.5

AA-BriefcaseOverall. Higher is better. No documented setup difference

Qwen 3.8 Max 09021,614.5 elo

Mistral Medium 3.5522.86 elo

AA-LCROverall. Higher is better. No documented setup difference

Qwen 3.8 Max 090280.3%

Mistral Medium 3.569.3%

AA-OmniscienceOverall. Higher is better. No documented setup difference

Qwen 3.8 Max 090211.983 points

Mistral Medium 3.5-36.8 points

Artificial Analysis Intelligence IndexOverall. Higher is better. No documented setup difference

Qwen 3.8 Max 090245.415 points

Mistral Medium 3.514.189 points

AutomationBench-AAOverall. Higher is better. No documented setup difference

Qwen 3.8 Max 090256.2%

Mistral Medium 3.56.3%

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

Qwen 3.8 Max 090223.958 %

Mistral Medium 3.55.127 %

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

Qwen 3.8 Max 090265.851 %

Mistral Medium 3.558.78 %

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

Qwen 3.8 Max 090260.066 %

Mistral Medium 3.511.185 %

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

Qwen 3.8 Max 090250.593 %

Mistral Medium 3.532.103 %

GDP.pdfOverall. Higher is better. No documented setup difference

Qwen 3.8 Max 090222.8%

Mistral Medium 3.52.8%

GDPval-AAOverall. Higher is better. No documented setup difference

Qwen 3.8 Max 09021,665.58 elo

Mistral Medium 3.5760.86 elo

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

Qwen 3.8 Max 090293.686 %

Mistral Medium 3.534.848 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Qwen 3.8 Max 0902 and Mistral Medium 3.5
Benchmark and task	Qwen 3.8 Max 0902	Mistral Medium 3.5	Source
AA-BriefcaseOverall Test details No documented difference in the test setupVersion: v1.1Metric: AA-Briefcase EloScoring: Higher is betterQwen 3.8 Max 0902: Snapshot: Qwen3.8 Max (0902) Mistral Medium 3.5: Snapshot: Mistral Medium 3.5Qwen 3.8 Max 0902: Exact AA configuration: Qwen3.8 Max (0902) (release qwen3-8-max-0902, row qwen3-8-max, UUID b112af07-3bd5-4647-b09f-b23204361bb2, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.Mistral Medium 3.5: Exact AA configuration: Mistral Medium 3.5 (release mistral-medium-3-5, row mistral-medium-3-5, UUID dd059b25-d82a-4ead-82a4-4adceaaec48b, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.	Winner1,614.5 elo	522.86 elo	Artificial Analysis Source details Data as of: 10/15/2026
AA-LCROverall Test details No documented difference in the test setupVersion: v1.1Metric: Pass rateScoring: Higher is betterQwen 3.8 Max 0902: Snapshot: Qwen3.8 Max (0902) Mistral Medium 3.5: Snapshot: Mistral Medium 3.5Qwen 3.8 Max 0902: Exact AA configuration: Qwen3.8 Max (0902) (release qwen3-8-max-0902, row qwen3-8-max, UUID b112af07-3bd5-4647-b09f-b23204361bb2, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.Mistral Medium 3.5: Exact AA configuration: Mistral Medium 3.5 (release mistral-medium-3-5, row mistral-medium-3-5, UUID dd059b25-d82a-4ead-82a4-4adceaaec48b, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.	Winner80.3%	69.3%	Artificial Analysis Source details Data as of: 10/15/2026
AA-OmniscienceOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: AA-Omniscience IndexScoring: Higher is betterQwen 3.8 Max 0902: Snapshot: Qwen3.8 Max (0902) Mistral Medium 3.5: Snapshot: Mistral Medium 3.5Qwen 3.8 Max 0902: Exact AA configuration: Qwen3.8 Max (0902) (release qwen3-8-max-0902, row qwen3-8-max, UUID b112af07-3bd5-4647-b09f-b23204361bb2, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.Mistral Medium 3.5: Exact AA configuration: Mistral Medium 3.5 (release mistral-medium-3-5, row mistral-medium-3-5, UUID dd059b25-d82a-4ead-82a4-4adceaaec48b, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.	Winner11.983 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis.	-36.8 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis.	Artificial Analysis Source details Data as of: 10/15/2026
Artificial Analysis Intelligence IndexOverall Test details No documented difference in the test setupVersion: v4.3.2Metric: Artificial Analysis Intelligence IndexScoring: Higher is betterQwen 3.8 Max 0902: Snapshot: Qwen3.8 Max (0902) Mistral Medium 3.5: Snapshot: Mistral Medium 3.5Qwen 3.8 Max 0902: Exact AA configuration: Qwen3.8 Max (0902) (release qwen3-8-max-0902, row qwen3-8-max, UUID b112af07-3bd5-4647-b09f-b23204361bb2, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.Mistral Medium 3.5: Exact AA configuration: Mistral Medium 3.5 (release mistral-medium-3-5, row mistral-medium-3-5, UUID dd059b25-d82a-4ead-82a4-4adceaaec48b, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.	Winner45.415 points	14.189 points	Artificial Analysis Source details Data as of: 10/15/2026
AutomationBench-AAOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: Objectives completed without guardrail violationsScoring: Higher is betterQwen 3.8 Max 0902: Snapshot: Qwen3.8 Max (0902) Mistral Medium 3.5: Snapshot: Mistral Medium 3.5Qwen 3.8 Max 0902: Exact AA configuration: Qwen3.8 Max (0902) (release qwen3-8-max-0902, row qwen3-8-max, UUID b112af07-3bd5-4647-b09f-b23204361bb2, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.Mistral Medium 3.5: Exact AA configuration: Mistral Medium 3.5 (release mistral-medium-3-5, row mistral-medium-3-5, UUID dd059b25-d82a-4ead-82a4-4adceaaec48b, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.	Winner56.2%	6.3%	Artificial Analysis Source details Data as of: 10/15/2026
Code MigrationOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value23.958 %	5.127 %	Vals AI Source details Data as of: 10/12/2026
CorpFin v2Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value65.851 %	58.78 %	Vals AI Source details Data as of: 08/12/2026
EMBOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value60.066 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value50.593 %	32.103 %	Vals AI Source details Data as of: 10/12/2026
GDP.pdfOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: All-pass rateScoring: Higher is betterQwen 3.8 Max 0902: Snapshot: Qwen3.8 Max (0902) Mistral Medium 3.5: Snapshot: Mistral Medium 3.5Qwen 3.8 Max 0902: Exact AA configuration: Qwen3.8 Max (0902) (release qwen3-8-max-0902, row qwen3-8-max, UUID b112af07-3bd5-4647-b09f-b23204361bb2, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.Mistral Medium 3.5: Exact AA configuration: Mistral Medium 3.5 (release mistral-medium-3-5, row mistral-medium-3-5, UUID dd059b25-d82a-4ead-82a4-4adceaaec48b, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.	Winner22.8%	2.8%	Artificial Analysis Source details Data as of: 10/15/2026
GDPval-AAOverall Test details No documented difference in the test setupVersion: v2.1Metric: GDPval-AA EloScoring: Higher is betterQwen 3.8 Max 0902: Snapshot: Qwen3.8 Max (0902) Mistral Medium 3.5: Snapshot: Mistral Medium 3.5Qwen 3.8 Max 0902: Exact AA configuration: Qwen3.8 Max (0902) (release qwen3-8-max-0902, row qwen3-8-max, UUID b112af07-3bd5-4647-b09f-b23204361bb2, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.Mistral Medium 3.5: Exact AA configuration: Mistral Medium 3.5 (release mistral-medium-3-5, row mistral-medium-3-5, UUID dd059b25-d82a-4ead-82a4-4adceaaec48b, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.	Winner1,665.58 elo	760.86 elo	Artificial Analysis Source details Data as of: 10/15/2026
GPQA DiamondOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value93.686 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value10.417 %	0.417 %	Vals AI Source details Data as of: 10/12/2026
Humanity's Last ExamOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: Text-only pass@1 accuracyScoring: Higher is betterQwen 3.8 Max 0902: Snapshot: Qwen3.8 Max (0902) Mistral Medium 3.5: Snapshot: Mistral Medium 3.5Qwen 3.8 Max 0902: Exact AA configuration: Qwen3.8 Max (0902) (release qwen3-8-max-0902, row qwen3-8-max, UUID b112af07-3bd5-4647-b09f-b23204361bb2, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.Mistral Medium 3.5: Exact AA configuration: Mistral Medium 3.5 (release mistral-medium-3-5, row mistral-medium-3-5, UUID dd059b25-d82a-4ead-82a4-4adceaaec48b, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.	Winner43.1% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset.	13.8% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset.	Artificial Analysis Source details Data as of: 10/15/2026
Legal Research BenchOverall · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value47.596 %	9.135 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevOverall Test details No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterQwen 3.8 Max 0902: Snapshot: qwen3.8-max-0902, Harness: Arena Code Arena WebDev Mistral Medium 3.5: Snapshot: mistral-medium-3.5, Harness: Arena Code Arena WebDevQwen 3.8 Max 0902: Arena rating from 13,081 published pairwise votes.Mistral Medium 3.5: Arena rating from 2,320 published pairwise votes.	Winner1,673.151 95% confidence interval: ±7.241The 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
MedCodeOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: 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 value40.668 %	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 betterQwen 3.8 Max 0902: 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 value84.947 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value88.602 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value63.99 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value58 %	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 betterQwen 3.8 Max 0902: 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 value51.254 %	37.613 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value85.6 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value32.095 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value75.552 %	67.988 %	Vals AI Source details Data as of: 09/01/2026
Terminal-BenchOverall Test details No documented difference in the test setupVersion: 4.0Metric: Task successScoring: Higher is betterQwen 3.8 Max 0902: Snapshot: Qwen3.8 Max (0902) Mistral Medium 3.5: Snapshot: Mistral Medium 3.5Qwen 3.8 Max 0902: Exact AA configuration: Qwen3.8 Max (0902) (release qwen3-8-max-0902, row qwen3-8-max, UUID b112af07-3bd5-4647-b09f-b23204361bb2, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.Mistral Medium 3.5: Exact AA configuration: Mistral Medium 3.5 (release mistral-medium-3-5, row mistral-medium-3-5, UUID dd059b25-d82a-4ead-82a4-4adceaaec48b, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption.	Winner38.9%	0.0%	Artificial Analysis Source details Data as of: 10/15/2026
Terminal-Bench 2.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value67.416 %	38.951 %	Vals AI Source details Data as of: 09/28/2026
Vals Multimodal IndexOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: weighted index scoreScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value65.394 %	34.768 %	Vals AI Source details Data as of: 08/11/2026
Vibe Code Bench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: Harness: OpenHands, Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Harness: OpenHands, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value64.696 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value11.944 %	4.991 %	Vals AI Source details Data as of: 10/12/2026
CorpFin v2Exact Pages Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value64.569 %	55.361 %	Vals AI Source details Data as of: 08/12/2026
EMBComps Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value54.32 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value48.426 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value92.424 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value90.942 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value59.091 %	7.576 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev Test details No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterQwen 3.8 Max 0902: Snapshot: qwen3.8-max-0902, Harness: Arena Code Arena WebDev Mistral Medium 3.5: Snapshot: mistral-medium-3.5, Harness: Arena Code Arena WebDevQwen 3.8 Max 0902: Arena rating from 13,081 published pairwise votes.Mistral Medium 3.5: Arena rating from 2,320 published pairwise votes.	Winner1,673.151 95% confidence interval: ±7.241The 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
MMLU-ProBiology Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value94.142 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value72.258 %	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 betterQwen 3.8 Max 0902: 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 value39.682 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value93.299 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value20 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value64.105 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value75 %	66.667 %	Vals AI Source details Data as of: 09/28/2026
Vals Multimodal IndexCorpFin v2 Test details Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value67.366 %	59.907 %	Vals AI Source details Data as of: 08/11/2026
Code MigrationCOBOL Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value60 %	5.536 %	Vals AI Source details Data as of: 10/12/2026
CorpFin v2Max Fitting Context Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value65.618 %	61.072 %	Vals AI Source details Data as of: 08/12/2026
EMBDataroom Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value83.536 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value38.229 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 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 · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value20 %	0 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value90.519 %	67.472 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev-html Test details No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterQwen 3.8 Max 0902: Snapshot: qwen3.8-max-0902, Harness: Arena Code Arena WebDev Mistral Medium 3.5: Snapshot: mistral-medium-3.5, Harness: Arena Code Arena WebDevQwen 3.8 Max 0902: Arena rating from 2,257 published pairwise votes.Mistral Medium 3.5: Arena rating from 259 published pairwise votes.	Winner1,651.307 95% confidence interval: ±14.717The 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
MMLU-ProBusiness Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value92.902 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value55.723 %	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 betterQwen 3.8 Max 0902: 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 value71.914 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value66.667 %	33.333 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value62.591 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value86.999 %	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 betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value53.333 %	15.556 %	Vals AI Source details Data as of: 09/28/2026
Vals Multimodal IndexFinance Agent v2 Test details Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value48.657 %	31.511 %	Vals AI Source details Data as of: 08/11/2026
Code MigrationCode Quality Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value4.255 / 5	2.987 / 5	Vals AI Source details Data as of: 10/12/2026
CorpFin v2Shared Max Context Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value67.366 %	59.907 %	Vals AI Source details Data as of: 08/12/2026
EMBDCF Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterQwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens Mistral Medium 3.5: Reasoning: high, Temperature: 0.7, Top P: 0.95, Output limit: 80,000 tokens	Higher measured value49.134 %	2.218 %	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

Qwen 3.8 Max 0902

Unavailable in this round

Mistral Medium 3.5

Earlier tests

Pelican on a bicycle

A community classic for free-form SVG drawing.

Qwen 3.8 Max 0902

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: qwen/qwen3.8-max-0902
API model reported in response: qwen/qwen3.8-max-0902
Reasoning setting: high
Pinned endpoint: Alibaba | qwen/qwen3.8-max-20260902
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Failed
Response time: 189.9 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 Qwen 3.8 Max 0902 and Mistral Medium 3.5 with other leading models using the same data and benchmark logic.

View the complete LLM comparison

Qwen 3.8 Max 0902 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

Qwen 3.8 Max 0902

Mistral Medium 3.5

Pelican on a bicycle

Winning one benchmark is not an overall verdict

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