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Mistral Medium 3.5 vs Qwen3.5-35B-A3B

Qwen3.5-35B-A3B leads Mistral Medium 3.5 on the Artificial Analysis Intelligence Index, 19.3 to 14.2, and Qwen3.5-35B-A3B costs 5.8x less per output token ($1.30 vs $7.50 per million). Updated October 22, 2026; 41 benchmarks have a result for both.

Replace Mistral Medium 3.5 Replace Qwen3.5-35B-A3B
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
31
Qwen3.5-35B-A3BQwen
Coding
No data
Overall
53.5
Output $/M
$1.30
10
vs boards won of 41 shared

Mistral Medium 3.5 or Qwen3.5-35B-A3B: which to pick

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Qwen3.5-35B-A3B has none, so the two cannot be ranked on coding.

Pick Qwen3.5-35B-A3B for output tokens 5.8x cheaper ($1.30 vs $7.50 per million) and work measured by AA Intelligence Index or Epoch Capabilities Index, where it leads.

Model AMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved taskModel BQwen3.5-35B-A3BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
41
Mistral Medium 3.5 only
40
Qwen3.5-35B-A3B only
4
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 3.5 25.5 from 3 benchmarks, Qwen3.5-35B-A3B not benchmarked.
Widest category
Reasoning, 6.5 points apart on average over 5 shared benchmarks.
Widest single gap
ALE-Bench: Mistral Medium 3.5 764.0 against Qwen3.5-35B-A3B 221.8, 18.1 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3.5 $7.50 against Qwen3.5-35B-A3B $1.30 per million output tokens, 5.8x apart.
Context window
Both take 262K tokens.

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 3.5BarsQwen3.5-35B-A3BTies
Coding70
Intelligence02
Agentic work10
Reasoning32
Math20
Knowledge31
General155
All shared boards3110
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for Mistral Medium 3.5 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.5Qwen3.5-35B-A3BLeader
LMArena WebDev12641254Mistral Medium 3.5
AA Coding Index46.9Not measuredOnly Mistral Medium 3.5 measured
SWE-bench Verified (Vals AI)66.4%Not measuredOnly Mistral Medium 3.5 measured
Vibe Code Bench (Vals AI)2.9%Not measuredOnly Mistral Medium 3.5 measured
Code migration (Vals AI)5.1%Not measuredOnly Mistral Medium 3.5 measured
Terminal-Bench 2.1 (Vals AI)39.0%Not measuredOnly Mistral Medium 3.5 measured
SciCode40.2%Not measuredOnly Mistral Medium 3.5 measured
Terminal-Bench Hard (Artificial Analysis run)33.3%26.5%Mistral Medium 3.5
ALE-Bench764.0221.8Mistral Medium 3.5
LMArena Text: coding14601410Mistral Medium 3.5
LMArena Text: software and IT14581415Mistral Medium 3.5
LMArena WebDev: React12541238Mistral Medium 3.5
LMArena WebDev: HTML13081301Mistral Medium 3.5
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Mistral Medium 3.5 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.5Qwen3.5-35B-A3BLeader
AA Intelligence Index14.219.3Qwen3.5-35B-A3B
Epoch Capabilities Index141.4142.5Qwen3.5-35B-A3B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Mistral Medium 3.5 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.5Qwen3.5-35B-A3BLeader
AA Agentic Index7.0Not measuredOnly Mistral Medium 3.5 measured
Finance Agent (Vals AI)32.1%Not measuredOnly Mistral Medium 3.5 measured
Tax Agent Bench (Vals AI)4.5%Not measuredOnly Mistral Medium 3.5 measured
Legal Research Bench (Vals AI)9.1%Not measuredOnly Mistral Medium 3.5 measured
Excel Modeling Benchmark (Vals AI)11.2%Not measuredOnly Mistral Medium 3.5 measured
τ²-Bench Telecom94.2%89.2%Mistral Medium 3.5
Vending-Bench 2Not measured$463Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for Mistral Medium 3.5 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.5Qwen3.5-35B-A3BLeader
GPQA Diamond34.9%Not measuredOnly Mistral Medium 3.5 measured
GPQA Diamond (Artificial Analysis run)74.8%84.5%Qwen3.5-35B-A3B
Humanity's Last Exam (Artificial Analysis run)13.8%21.0%Qwen3.5-35B-A3B
GPQA Diamond (Epoch AI run)Not measured83.5%Only Qwen3.5-35B-A3B measured
LMArena Text: hard prompts14361400Mistral Medium 3.5
LMArena Text: expert14321408Mistral Medium 3.5
LMArena Text: hard prompts in English14451411Mistral Medium 3.5
LMArena Vision: diagrams1254Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: homework1230Not measuredOnly Mistral Medium 3.5 measured
Kagi LLM Benchmark41.4%Not measuredOnly Mistral Medium 3.5 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Mistral Medium 3.5 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.5Qwen3.5-35B-A3BLeader
OTIS Mock AIMENot measured70.0%Only Qwen3.5-35B-A3B measured
ProofBench9.0%Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: math14311404Mistral Medium 3.5
LMArena Text: mathematical work14401410Mistral Medium 3.5
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for Mistral Medium 3.5 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.5Qwen3.5-35B-A3BLeader
MMLU Pro75.3%Not measuredOnly Mistral Medium 3.5 measured
CaseLaw (Vals AI)44.2%Not measuredOnly Mistral Medium 3.5 measured
CorpFin (Vals AI)58.8%Not measuredOnly Mistral Medium 3.5 measured
TaxEval (Vals AI)68.0%Not measuredOnly Mistral Medium 3.5 measured
MortgageTax (Vals AI)28.9%Not measuredOnly Mistral Medium 3.5 measured
MedCode (Vals AI)33.8%Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: science14281413Mistral Medium 3.5
LMArena Text: medicine and healthcare14091421Qwen3.5-35B-A3B
LMArena Text: legal and government14371399Mistral Medium 3.5
LMArena Text: business and finance14261394Mistral Medium 3.5
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Mistral Medium 3.5 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.5Qwen3.5-35B-A3BLeader
Design Arena: websites1142Not measuredOnly Mistral Medium 3.5 measured
Design Arena: UI components1076Not measuredOnly Mistral Medium 3.5 measured
Design Arena: game dev1079Not measuredOnly Mistral Medium 3.5 measured
Design Arena: data viz1120Not measuredOnly Mistral Medium 3.5 measured
Design Arena: 3D1060Not measuredOnly Mistral Medium 3.5 measured
Design Arena: all code categories1121Not measuredOnly Mistral Medium 3.5 measured
Design Arena: SVG949Not measuredOnly Mistral Medium 3.5 measured
Design Arena: ASCII art1062Not measuredOnly Mistral Medium 3.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index155
General benchmarks for Mistral Medium 3.5 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.5Qwen3.5-35B-A3BLeader
SAGE (Vals AI)37.6%Not measuredOnly Mistral Medium 3.5 measured
MedScribe (Vals AI)67.7%Not measuredOnly Mistral Medium 3.5 measured
Vals Multimodal Index34.8%Not measuredOnly Mistral Medium 3.5 measured
IFBench68.8%72.5%Qwen3.5-35B-A3B
Long context reasoning (AA-LCR)69.3%72.0%Qwen3.5-35B-A3B
DTBench75.5%80.0%Qwen3.5-35B-A3B
LMCA26.1%29.5%Qwen3.5-35B-A3B
Surface Evolver Bench26.9%Not measuredOnly Mistral Medium 3.5 measured
LMArena Text14211395Mistral Medium 3.5
LMArena Text: instruction following14151379Mistral Medium 3.5
LMArena Text: creative writing13741347Mistral Medium 3.5
LMArena Vision1222Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: English14331407Mistral Medium 3.5
LMArena Text: non-English14041378Mistral Medium 3.5
LMArena Text: Chinese14441457Qwen3.5-35B-A3B
LMArena Text: German14531367Mistral Medium 3.5
LMArena Text: JapaneseNot measured1326Only Qwen3.5-35B-A3B measured
LMArena Text: Korean13841355Mistral Medium 3.5
LMArena Text: French14481412Mistral Medium 3.5
LMArena Text: Spanish14111390Mistral Medium 3.5
LMArena Text: Russian13951376Mistral Medium 3.5
LMArena Text: Polish14301385Mistral Medium 3.5
LMArena Text: multi-turn14231390Mistral Medium 3.5
LMArena Text: longer queries14151389Mistral Medium 3.5
LMArena Text: writing and language13841365Mistral Medium 3.5
LMArena Text: entertainment and media13821347Mistral Medium 3.5
LMArena Vision: English1240Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: Chinese1244Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: reading text1233Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: humor1216Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: creative writing1198Not measuredOnly Mistral Medium 3.5 measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mistral Medium 3.5 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.5Qwen3.5-35B-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 3.5$0.0053Fits 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 3.5$0.098Fits 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 3.5$0.375Fits in one request
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 3.5 and Qwen3.5-35B-A3B
SpecificationMistral Medium 3.5Qwen3.5-35B-A3B
MakerMistral AIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 30, 2026February 25, 2026
Context window262K262K
Input $/Mtok$1.50$0.1625
Output $/Mtok$7.50$1.30
Coding index25.5Not benchmarked
Independent measurements behind it31
Cost per solved task$6.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Medium 3.5 better than Qwen3.5-35B-A3B for coding?

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Qwen3.5-35B-A3B has none, so the two cannot be ranked on coding. Pick Qwen3.5-35B-A3B for output tokens 5.8x cheaper ($1.30 vs $7.50 per million) and work measured by AA Intelligence Index or Epoch Capabilities Index, where it leads.

Which is cheaper, Mistral Medium 3.5 or Qwen3.5-35B-A3B?

Mistral Medium 3.5 costs $1.50 per million input tokens and $7.50 per million output tokens; Qwen3.5-35B-A3B costs $0.1625 and $1.30. Cost per solved task is known for Mistral Medium 3.5 only.

Which has the bigger context window, Mistral Medium 3.5 or Qwen3.5-35B-A3B?

Neither: both take 262K tokens.

How many benchmarks is the Mistral Medium 3.5 vs Qwen3.5-35B-A3B comparison based on?

41 benchmarks have a result for both models as of October 22, 2026. Mistral Medium 3.5's coding index rests on 3 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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