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Mistral Medium 3 vs Qwen3.5 397B A17B

Qwen3.5 397B A17B leads Mistral Medium 3 on the Artificial Analysis Intelligence Index, 21.4 to 9.0, at about the same output price ($2.34 vs $2.00 per million). Updated October 22, 2026; 53 benchmarks have a result for both.

Mistral Medium 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
0
Qwen3.5 397B A17BQwen
Coding
No data
Overall
57.1
Output $/M
$2.34
53
vs boards won of 53 shared

Mistral Medium 3 or Qwen3.5 397B A17B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Mistral Medium 3 for output tokens 1.2x cheaper ($2.00 vs $2.34 per million) and work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Shared results
53
Mistral Medium 3 only
4
Qwen3.5 397B A17B only
12
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Mistral Medium 3 not benchmarked, Qwen3.5 397B A17B not benchmarked.
Widest category
Agentic work, 71.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Mistral Medium 3 24.3% against Qwen3.5 397B A17B 95.6%, 71.3 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3 $2.00 against Qwen3.5 397B A17B $2.34 per million output tokens, 1.2x apart.
Context window
Mistral Medium 3 takes 131K tokens, Qwen3.5 397B A17B 262K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryMistral Medium 3BarsQwen3.5 397B A17BTies
Coding03
Intelligence02
Agentic work01
Reasoning07
Math02
Knowledge04
Web design06
General028
All shared boards053
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Mistral Medium 3 and Qwen3.5 397B A17B
BenchmarkMistral Medium 3Qwen3.5 397B A17BLeader
LMArena WebDevNot measured1400Only Qwen3.5 397B A17B measured
LiveCodeBench (Artificial Analysis run)40.0%Not measuredOnly Mistral Medium 3 measured
SciCodeNot measured44.8%Only Qwen3.5 397B A17B measured
Terminal-Bench Hard (Artificial Analysis run)3.8%40.9%Qwen3.5 397B A17B
ALE-BenchNot measured621.9Only Qwen3.5 397B A17B measured
LMArena Text: coding13851464Qwen3.5 397B A17B
LMArena Text: software and IT13851463Qwen3.5 397B A17B
LMArena WebDev: ReactNot measured1388Only Qwen3.5 397B A17B measured
LMArena WebDev: HTMLNot measured1410Only Qwen3.5 397B A17B measured
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Mistral Medium 3 and Qwen3.5 397B A17B
BenchmarkMistral Medium 3Qwen3.5 397B A17BLeader
AA Intelligence Index9.021.4Qwen3.5 397B A17B
Epoch Capabilities Index134.0146.8Qwen3.5 397B A17B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Mistral Medium 3 and Qwen3.5 397B A17B
BenchmarkMistral Medium 3Qwen3.5 397B A17BLeader
τ²-Bench Telecom24.3%95.6%Qwen3.5 397B A17B
APEX-AgentsNot measured24.9%Only Qwen3.5 397B A17B measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Mistral Medium 3 and Qwen3.5 397B A17B
BenchmarkMistral Medium 3Qwen3.5 397B A17BLeader
GPQA Diamond (Artificial Analysis run)57.8%89.3%Qwen3.5 397B A17B
Humanity's Last Exam (Artificial Analysis run)4.1%29.0%Qwen3.5 397B A17B
GPQA Diamond (Epoch AI run)Not measured86.4%Only Qwen3.5 397B A17B measured
Mystery game puzzlesNot measured18.0%Only Qwen3.5 397B A17B measured
LMArena Text: hard prompts13641448Qwen3.5 397B A17B
LMArena Text: expert13421462Qwen3.5 397B A17B
LMArena Text: hard prompts in English13741450Qwen3.5 397B A17B
LMArena Vision: diagrams11551277Qwen3.5 397B A17B
LMArena Vision: homework11651292Qwen3.5 397B A17B
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Mistral Medium 3 and Qwen3.5 397B A17B
BenchmarkMistral Medium 3Qwen3.5 397B A17BLeader
AA Math Index30.3Not measuredOnly Mistral Medium 3 measured
AIME 2025 (Artificial Analysis run)30.3%Not measuredOnly Mistral Medium 3 measured
OTIS Mock AIMENot measured88.9%Only Qwen3.5 397B A17B measured
FrontierMath, tiers 1 to 3Not measured31.2%Only Qwen3.5 397B A17B measured
LMArena Text: math13531453Qwen3.5 397B A17B
LMArena Text: mathematical work13541454Qwen3.5 397B A17B
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Mistral Medium 3 and Qwen3.5 397B A17B
BenchmarkMistral Medium 3Qwen3.5 397B A17BLeader
MMLU Pro (Artificial Analysis run)76.0%Not measuredOnly Mistral Medium 3 measured
LMArena Text: science13811457Qwen3.5 397B A17B
LMArena Text: medicine and healthcare13811455Qwen3.5 397B A17B
LMArena Text: legal and government13841441Qwen3.5 397B A17B
LMArena Text: business and finance13521435Qwen3.5 397B A17B
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for Mistral Medium 3 and Qwen3.5 397B A17B
BenchmarkMistral Medium 3Qwen3.5 397B A17BLeader
Design Arena: websites10791190Qwen3.5 397B A17B
Design Arena: UI components10221160Qwen3.5 397B A17B
Design Arena: game dev10171140Qwen3.5 397B A17B
Design Arena: data viz10341175Qwen3.5 397B A17B
Design Arena: 3D10831160Qwen3.5 397B A17B
Design Arena: all code categories10681179Qwen3.5 397B A17B
Design Arena: SVGNot measured1139Only Qwen3.5 397B A17B measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index028
General benchmarks for Mistral Medium 3 and Qwen3.5 397B A17B
BenchmarkMistral Medium 3Qwen3.5 397B A17BLeader
IFBench39.3%78.8%Qwen3.5 397B A17B
Long context reasoning (AA-LCR)31.3%77.3%Qwen3.5 397B A17B
DTBench62.3%87.5%Qwen3.5 397B A17B
LMCANot measured37.9%Only Qwen3.5 397B A17B measured
LMArena Text13701437Qwen3.5 397B A17B
LMArena Text: instruction following13381424Qwen3.5 397B A17B
LMArena Text: creative writing13431402Qwen3.5 397B A17B
LMArena Vision11571262Qwen3.5 397B A17B
LMArena Text: English13851443Qwen3.5 397B A17B
LMArena Text: non-English13531430Qwen3.5 397B A17B
LMArena Text: Chinese13741498Qwen3.5 397B A17B
LMArena Text: German13771445Qwen3.5 397B A17B
LMArena Text: Japanese13161429Qwen3.5 397B A17B
LMArena Text: Korean13041384Qwen3.5 397B A17B
LMArena Text: French13681462Qwen3.5 397B A17B
LMArena Text: Spanish13641441Qwen3.5 397B A17B
LMArena Text: Russian13591430Qwen3.5 397B A17B
LMArena Text: Polish13711447Qwen3.5 397B A17B
LMArena Text: multi-turn13841446Qwen3.5 397B A17B
LMArena Text: longer queries13601441Qwen3.5 397B A17B
LMArena Text: writing and language13521415Qwen3.5 397B A17B
LMArena Text: entertainment and media13351399Qwen3.5 397B A17B
LMArena Vision: English11721268Qwen3.5 397B A17B
LMArena Vision: Chinese11611314Qwen3.5 397B A17B
LMArena Vision: reading text11541271Qwen3.5 397B A17B
LMArena Vision: humor11451262Qwen3.5 397B A17B
LMArena Vision: captioning10941230Qwen3.5 397B A17B
LMArena Vision: recognizing things11411265Qwen3.5 397B A17B
LMArena Vision: creative writing11461260Qwen3.5 397B A17B
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mistral Medium 3 and Qwen3.5 397B A17B
BenchmarkMistral Medium 3Qwen3.5 397B A17BLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Mistral Medium 3$0.0014Fits in one request
Qwen3.5 397B A17B$0.0016Fits in one request

Mistral Medium 3 costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3$0.026Fits in one request
Qwen3.5 397B A17B$0.027Fits in one request

Mistral Medium 3 costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3$0.100Exceeds the context window
Qwen3.5 397B A17B$0.101Fits in one request

Mistral Medium 3 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Mistral Medium 3 and Qwen3.5 397B A17B
SpecificationMistral Medium 3Qwen3.5 397B A17B
MakerMistral AIQwen
WeightsNo public weights listedOpen weights
ReleasedMay 7, 2025February 16, 2026
Context window131K262K
Input $/Mtok$0.40$0.39
Output $/Mtok$2.00$2.34
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Medium 3 better than Qwen3.5 397B A17B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Medium 3 for output tokens 1.2x cheaper ($2.00 vs $2.34 per million) and work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, Mistral Medium 3 or Qwen3.5 397B A17B?

Mistral Medium 3 costs $0.40 per million input tokens and $2.00 per million output tokens; Qwen3.5 397B A17B costs $0.39 and $2.34. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Medium 3 or Qwen3.5 397B A17B?

Qwen3.5 397B A17B, with 262K tokens against 131K.

How many benchmarks is the Mistral Medium 3 vs Qwen3.5 397B A17B comparison based on?

53 benchmarks have a result for both models as of October 22, 2026. Mistral Medium 3's coding index rests on 0 independent benchmarks and Qwen3.5 397B A17B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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