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Mistral Medium 3.1 vs Qwen3.5-35B-A3B

Qwen3.5-35B-A3B leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 19.3 to 9.2, and Qwen3.5-35B-A3B costs 1.5x less per output token ($1.30 vs $2.00 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Replace Mistral Medium 3.1 Replace Qwen3.5-35B-A3B
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
27
Qwen3.5-35B-A3BQwen
Coding
No data
Overall
53.5
Output $/M
$1.30
11
vs boards won of 38 shared

Mistral Medium 3.1 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 3.1 for work measured by Terminal-Bench Hard (Artificial Analysis run) or ALE-Bench, where it leads.

Model AMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.5-35B-A3BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
38
Mistral Medium 3.1 only
36
Qwen3.5-35B-A3B only
7
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 3.1 not benchmarked, Qwen3.5-35B-A3B not benchmarked.
Widest category
Agentic work, 48.5 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Mistral Medium 3.1 40.6% against Qwen3.5-35B-A3B 89.2%, 48.5 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3.1 $2.00 against Qwen3.5-35B-A3B $1.30 per million output tokens, 1.5x apart.
Context window
Mistral Medium 3.1 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 3.1BarsQwen3.5-35B-A3BTies
Coding22
Intelligence01
Agentic work01
Reasoning32
Math20
Knowledge40
General165
All shared boards2711
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
Coding benchmarks for Mistral Medium 3.1 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.1Qwen3.5-35B-A3BLeader
LMArena WebDevNot measured1254Only Qwen3.5-35B-A3B measured
AA Coding Index20.5Not measuredOnly Mistral Medium 3.1 measured
LiveCodeBench (Vals AI)44.8%Not measuredOnly Mistral Medium 3.1 measured
LiveCodeBench (Artificial Analysis run)40.6%Not measuredOnly Mistral Medium 3.1 measured
SciCode32.4%Not measuredOnly Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)10.6%26.5%Qwen3.5-35B-A3B
ALE-Bench210.2221.8Qwen3.5-35B-A3B
LMArena Text: coding14331410Mistral Medium 3.1
LMArena Text: software and IT14361415Mistral Medium 3.1
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 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mistral Medium 3.1 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.1Qwen3.5-35B-A3BLeader
AA Intelligence Index9.219.3Qwen3.5-35B-A3B
Epoch Capabilities IndexNot measured142.5Only Qwen3.5-35B-A3B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Mistral Medium 3.1 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.1Qwen3.5-35B-A3BLeader
AA Agentic Index1.9Not measuredOnly Mistral Medium 3.1 measured
τ²-Bench Telecom40.6%89.2%Qwen3.5-35B-A3B
Vending-Bench 2Not measured$463Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for Mistral Medium 3.1 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.1Qwen3.5-35B-A3BLeader
MMMU Pro (Vals AI)63.0%Not measuredOnly Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)58.8%84.5%Qwen3.5-35B-A3B
Humanity's Last Exam (Artificial Analysis run)4.7%21.0%Qwen3.5-35B-A3B
GPQA Diamond (Epoch AI run)Not measured83.5%Only Qwen3.5-35B-A3B measured
LMArena Text: hard prompts14261400Mistral Medium 3.1
LMArena Text: expert14081408Mistral Medium 3.1
LMArena Text: hard prompts in English14351411Mistral Medium 3.1
LMArena Vision: diagrams1175Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: homework1165Not measuredOnly Mistral Medium 3.1 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Mistral Medium 3.1 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.1Qwen3.5-35B-A3BLeader
AIME42.3%Not measuredOnly Mistral Medium 3.1 measured
MATH 500 (Vals AI)87.0%Not measuredOnly Mistral Medium 3.1 measured
MGSM (Vals AI)90.9%Not measuredOnly Mistral Medium 3.1 measured
AA Math Index38.3Not measuredOnly Mistral Medium 3.1 measured
AIME 2025 (Artificial Analysis run)38.3%Not measuredOnly Mistral Medium 3.1 measured
OTIS Mock AIMENot measured70.0%Only Qwen3.5-35B-A3B measured
LMArena Text: math14081404Mistral Medium 3.1
LMArena Text: mathematical work14121410Mistral Medium 3.1
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Mistral Medium 3.1 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.1Qwen3.5-35B-A3BLeader
MMLU Pro75.3%Not measuredOnly Mistral Medium 3.1 measured
LegalBench (Vals AI)62.0%Not measuredOnly Mistral Medium 3.1 measured
CorpFin (Vals AI)50.7%Not measuredOnly Mistral Medium 3.1 measured
TaxEval (Vals AI)70.3%Not measuredOnly Mistral Medium 3.1 measured
MortgageTax (Vals AI)36.5%Not measuredOnly Mistral Medium 3.1 measured
MedQA (Vals AI)78.2%Not measuredOnly Mistral Medium 3.1 measured
MMLU Pro (Artificial Analysis run)68.3%Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: science14441413Mistral Medium 3.1
LMArena Text: medicine and healthcare14491421Mistral Medium 3.1
LMArena Text: legal and government14391399Mistral Medium 3.1
LMArena Text: business and finance14181394Mistral Medium 3.1
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Mistral Medium 3.1 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.1Qwen3.5-35B-A3BLeader
Design Arena: websites1132Not measuredOnly Mistral Medium 3.1 measured
Design Arena: UI components1097Not measuredOnly Mistral Medium 3.1 measured
Design Arena: game dev1073Not measuredOnly Mistral Medium 3.1 measured
Design Arena: data viz1144Not measuredOnly Mistral Medium 3.1 measured
Design Arena: 3D1081Not measuredOnly Mistral Medium 3.1 measured
Design Arena: all code categories1120Not measuredOnly Mistral Medium 3.1 measured
Design Arena: SVG992Not measuredOnly Mistral Medium 3.1 measured
Design Arena: ASCII art997Not measuredOnly Mistral Medium 3.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index165
General benchmarks for Mistral Medium 3.1 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.1Qwen3.5-35B-A3BLeader
IFBench39.8%72.5%Qwen3.5-35B-A3B
Long context reasoning (AA-LCR)42.7%72.0%Qwen3.5-35B-A3B
DTBench67.5%80.0%Qwen3.5-35B-A3B
LMCA19.1%29.5%Qwen3.5-35B-A3B
LMArena Text14241395Mistral Medium 3.1
LMArena Text: instruction following13981379Mistral Medium 3.1
LMArena Text: creative writing13911347Mistral Medium 3.1
LMArena Vision1172Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: English14381407Mistral Medium 3.1
LMArena Text: non-English14081378Mistral Medium 3.1
LMArena Text: Chinese14471457Qwen3.5-35B-A3B
LMArena Text: German14321367Mistral Medium 3.1
LMArena Text: Japanese13791326Mistral Medium 3.1
LMArena Text: Korean13801355Mistral Medium 3.1
LMArena Text: French14601412Mistral Medium 3.1
LMArena Text: Spanish14331390Mistral Medium 3.1
LMArena Text: Russian14111376Mistral Medium 3.1
LMArena Text: Polish14301385Mistral Medium 3.1
LMArena Text: multi-turn14181390Mistral Medium 3.1
LMArena Text: longer queries14061389Mistral Medium 3.1
LMArena Text: writing and language13951365Mistral Medium 3.1
LMArena Text: entertainment and media13901347Mistral Medium 3.1
LMArena Vision: English1179Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: Chinese1190Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: reading text1175Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: humor1168Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: captioning1145Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: recognizing things1147Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: creative writing1200Not measuredOnly Mistral Medium 3.1 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 3.1 and Qwen3.5-35B-A3B
BenchmarkMistral Medium 3.1Qwen3.5-35B-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 3.1$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 3.1$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 3.1$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 3.1 and Qwen3.5-35B-A3B
SpecificationMistral Medium 3.1Qwen3.5-35B-A3B
MakerMistral AIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 13, 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 3.1 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 3.1 for work measured by Terminal-Bench Hard (Artificial Analysis run) or ALE-Bench, where it leads.

Which is cheaper, Mistral Medium 3.1 or Qwen3.5-35B-A3B?

Mistral Medium 3.1 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 3.1 or Qwen3.5-35B-A3B?

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

How many benchmarks is the Mistral Medium 3.1 vs Qwen3.5-35B-A3B comparison based on?

38 benchmarks have a result for both models as of October 22, 2026. Mistral Medium 3.1'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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