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Mistral Medium 3 vs Qwen3.5-35B-A3B

Qwen3.5-35B-A3B leads Mistral Medium 3 on the Artificial Analysis Intelligence Index, 19.3 to 9.0, and Qwen3.5-35B-A3B costs 1.5x less per output token ($1.30 vs $2.00 per million). Updated October 22, 2026; 37 benchmarks have a result for both.

Mistral Medium 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
1
Qwen3.5-35B-A3BQwen
Coding
No data
Overall
53.5
Output $/M
$1.30
36
vs boards won of 37 shared

Mistral Medium 3 or Qwen3.5-35B-A3B: which to pick

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

Pick Mistral Medium 3 for work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Shared results
37
Mistral Medium 3 only
20
Qwen3.5-35B-A3B only
8
Like-for-like categories
7 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, Qwen3.5-35B-A3B not benchmarked.
Widest category
Agentic work, 64.9 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Mistral Medium 3 24.3% against Qwen3.5-35B-A3B 89.2%, 64.9 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3 $2.00 against Qwen3.5-35B-A3B $1.30 per million output tokens, 1.5x apart.
Context window
Mistral Medium 3 takes 131K tokens, Qwen3.5-35B-A3B 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 3BarsQwen3.5-35B-A3BTies
Coding03
Intelligence02
Agentic work01
Reasoning05
Math02
Knowledge04
General119
All shared boards136
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Mistral Medium 3 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3Qwen3.5-35B-A3BLeader
LMArena WebDevNot measured1254Only Qwen3.5-35B-A3B measured
LiveCodeBench (Artificial Analysis run)40.0%Not measuredOnly Mistral Medium 3 measured
Terminal-Bench Hard (Artificial Analysis run)3.8%26.5%Qwen3.5-35B-A3B
ALE-BenchNot measured221.8Only Qwen3.5-35B-A3B measured
LMArena Text: coding13851410Qwen3.5-35B-A3B
LMArena Text: software and IT13851415Qwen3.5-35B-A3B
LMArena WebDev: ReactNot measured1238Only Qwen3.5-35B-A3B measured
LMArena WebDev: HTMLNot measured1301Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Mistral Medium 3 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3Qwen3.5-35B-A3BLeader
AA Intelligence Index9.019.3Qwen3.5-35B-A3B
Epoch Capabilities Index134.0142.5Qwen3.5-35B-A3B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Mistral Medium 3 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3Qwen3.5-35B-A3BLeader
τ²-Bench Telecom24.3%89.2%Qwen3.5-35B-A3B
Vending-Bench 2Not measured$463Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Mistral Medium 3 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3Qwen3.5-35B-A3BLeader
GPQA Diamond (Artificial Analysis run)57.8%84.5%Qwen3.5-35B-A3B
Humanity's Last Exam (Artificial Analysis run)4.1%21.0%Qwen3.5-35B-A3B
GPQA Diamond (Epoch AI run)Not measured83.5%Only Qwen3.5-35B-A3B measured
LMArena Text: hard prompts13641400Qwen3.5-35B-A3B
LMArena Text: expert13421408Qwen3.5-35B-A3B
LMArena Text: hard prompts in English13741411Qwen3.5-35B-A3B
LMArena Vision: diagrams1155Not measuredOnly Mistral Medium 3 measured
LMArena Vision: homework1165Not measuredOnly Mistral Medium 3 measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Mistral Medium 3 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3Qwen3.5-35B-A3BLeader
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 measured70.0%Only Qwen3.5-35B-A3B measured
LMArena Text: math13531404Qwen3.5-35B-A3B
LMArena Text: mathematical work13541410Qwen3.5-35B-A3B
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Mistral Medium 3 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3Qwen3.5-35B-A3BLeader
MMLU Pro (Artificial Analysis run)76.0%Not measuredOnly Mistral Medium 3 measured
LMArena Text: science13811413Qwen3.5-35B-A3B
LMArena Text: medicine and healthcare13811421Qwen3.5-35B-A3B
LMArena Text: legal and government13841399Qwen3.5-35B-A3B
LMArena Text: business and finance13521394Qwen3.5-35B-A3B
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Mistral Medium 3 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3Qwen3.5-35B-A3BLeader
Design Arena: websites1079Not measuredOnly Mistral Medium 3 measured
Design Arena: UI components1022Not measuredOnly Mistral Medium 3 measured
Design Arena: game dev1017Not measuredOnly Mistral Medium 3 measured
Design Arena: data viz1034Not measuredOnly Mistral Medium 3 measured
Design Arena: 3D1083Not measuredOnly Mistral Medium 3 measured
Design Arena: all code categories1068Not measuredOnly Mistral Medium 3 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index119
General benchmarks for Mistral Medium 3 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3Qwen3.5-35B-A3BLeader
IFBench39.3%72.5%Qwen3.5-35B-A3B
Long context reasoning (AA-LCR)31.3%72.0%Qwen3.5-35B-A3B
DTBench62.3%80.0%Qwen3.5-35B-A3B
LMCANot measured29.5%Only Qwen3.5-35B-A3B measured
LMArena Text13701395Qwen3.5-35B-A3B
LMArena Text: instruction following13381379Qwen3.5-35B-A3B
LMArena Text: creative writing13431347Qwen3.5-35B-A3B
LMArena Vision1157Not measuredOnly Mistral Medium 3 measured
LMArena Text: English13851407Qwen3.5-35B-A3B
LMArena Text: non-English13531378Qwen3.5-35B-A3B
LMArena Text: Chinese13741457Qwen3.5-35B-A3B
LMArena Text: German13771367Mistral Medium 3
LMArena Text: Japanese13161326Qwen3.5-35B-A3B
LMArena Text: Korean13041355Qwen3.5-35B-A3B
LMArena Text: French13681412Qwen3.5-35B-A3B
LMArena Text: Spanish13641390Qwen3.5-35B-A3B
LMArena Text: Russian13591376Qwen3.5-35B-A3B
LMArena Text: Polish13711385Qwen3.5-35B-A3B
LMArena Text: multi-turn13841390Qwen3.5-35B-A3B
LMArena Text: longer queries13601389Qwen3.5-35B-A3B
LMArena Text: writing and language13521365Qwen3.5-35B-A3B
LMArena Text: entertainment and media13351347Qwen3.5-35B-A3B
LMArena Vision: English1172Not measuredOnly Mistral Medium 3 measured
LMArena Vision: Chinese1161Not measuredOnly Mistral Medium 3 measured
LMArena Vision: reading text1154Not measuredOnly Mistral Medium 3 measured
LMArena Vision: humor1145Not measuredOnly Mistral Medium 3 measured
LMArena Vision: captioning1094Not measuredOnly Mistral Medium 3 measured
LMArena Vision: recognizing things1141Not measuredOnly Mistral Medium 3 measured
LMArena Vision: creative writing1146Not measuredOnly Mistral Medium 3 measured
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 Qwen3.5-35B-A3B
BenchmarkMistral Medium 3Qwen3.5-35B-A3BLeader
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
Qwen3.5-35B-A3B$0.0008Fits in one request

Qwen3.5-35B-A3B costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3$0.026Fits in one request
Qwen3.5-35B-A3B$0.012Fits in one request

Qwen3.5-35B-A3B costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3$0.100Exceeds the context window
Qwen3.5-35B-A3B$0.045Fits in one request

Qwen3.5-35B-A3B 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 Qwen3.5-35B-A3B
SpecificationMistral Medium 3Qwen3.5-35B-A3B
MakerMistral AIQwen
WeightsNo public weights listedOpen weights
ReleasedMay 7, 2025February 25, 2026
Context window131K262K
Input $/Mtok$0.40$0.1625
Output $/Mtok$2.00$1.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Medium 3 better than Qwen3.5-35B-A3B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Medium 3 for work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, Mistral Medium 3 or Qwen3.5-35B-A3B?

Mistral Medium 3 costs $0.40 per million input tokens and $2.00 per million output tokens; Qwen3.5-35B-A3B costs $0.1625 and $1.30. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Medium 3 or Qwen3.5-35B-A3B?

Qwen3.5-35B-A3B, with 262K tokens against 131K.

How many benchmarks is the Mistral Medium 3 vs Qwen3.5-35B-A3B comparison based on?

37 benchmarks have a result for both models as of October 22, 2026. Mistral Medium 3's coding index rests on 0 independent benchmarks and Qwen3.5-35B-A3B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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