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Mistral Medium 3.1 vs Qwen3 32B

Mistral Medium 3.1 leads Qwen3 32B on the Artificial Analysis Intelligence Index, 9.2 to 7.3, and Qwen3 32B costs 5.0x less per output token ($0.40 vs $2.00 per million). Updated October 21, 2026; 37 benchmarks have a result for both.

Replace Mistral Medium 3.1 Replace Qwen3 32B
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
28
Qwen3 32BQwen
Coding
No data
Overall
40.8
Output $/M
$0.40
8
vs boards won of 37 shared, 1 tied

Mistral Medium 3.1 or Qwen3 32B: 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 LiveCodeBench (Artificial Analysis run) or SciCode, where it leads.

Model AMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 32BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
37
Mistral Medium 3.1 only
37
Qwen3 32B 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 3.1 not benchmarked, Qwen3 32B not benchmarked.
Widest category
Math, 18.1 points apart on average over 4 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Mistral Medium 3.1 42.7% against Qwen3 32B 0.0%, 42.7 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3.1 $2.00 against Qwen3 32B $0.40 per million output tokens, 5.0x apart.
Context window
Both take 131K 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 3.1BarsQwen3 32BTies
Coding32
Intelligence10
Agentic work10
Reasoning32
Math13
Knowledge41
General1501 tie
All shared boards2881 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
Coding benchmarks for Mistral Medium 3.1 and Qwen3 32B
BenchmarkMistral Medium 3.1Qwen3 32BLeader
Aider polyglotNot measured40.0%Only Qwen3 32B 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%54.6%Qwen3 32B
SciCode32.4%36.0%Qwen3 32B
Terminal-Bench Hard (Artificial Analysis run)10.6%3.0%Mistral Medium 3.1
ALE-Bench210.2Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: coding14331357Mistral Medium 3.1
LMArena Text: software and IT14361366Mistral Medium 3.1
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Mistral Medium 3.1 and Qwen3 32B
BenchmarkMistral Medium 3.1Qwen3 32BLeader
AA Intelligence Index9.27.3Mistral Medium 3.1
Epoch Capabilities IndexNot measured138.4Only Qwen3 32B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Mistral Medium 3.1 and Qwen3 32B
BenchmarkMistral Medium 3.1Qwen3 32BLeader
AA Agentic Index1.9Not measuredOnly Mistral Medium 3.1 measured
τ²-Bench Telecom40.6%29.8%Mistral Medium 3.1
Berkeley Function Calling Leaderboard (BFCL)Not measured48.7%Only Qwen3 32B measured
BrowseComp-PlusNot measured10.7%Only Qwen3 32B measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for Mistral Medium 3.1 and Qwen3 32B
BenchmarkMistral Medium 3.1Qwen3 32BLeader
MMMU Pro (Vals AI)63.0%Not measuredOnly Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)58.8%66.8%Qwen3 32B
Humanity's Last Exam (Artificial Analysis run)4.7%7.4%Qwen3 32B
GPQA Diamond (Epoch AI run)Not measured65.7%Only Qwen3 32B measured
LMArena Text: hard prompts14261334Mistral Medium 3.1
LMArena Text: expert14081362Mistral Medium 3.1
LMArena Text: hard prompts in English14351350Mistral Medium 3.1
LMArena Vision: diagrams1175Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: homework1165Not measuredOnly Mistral Medium 3.1 measured
Kagi LLM BenchmarkNot measured48.7%Only Qwen3 32B measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index13
Math benchmarks for Mistral Medium 3.1 and Qwen3 32B
BenchmarkMistral Medium 3.1Qwen3 32BLeader
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 Index38.373.0Qwen3 32B
AIME 2025 (Artificial Analysis run)38.3%73.0%Qwen3 32B
OTIS Mock AIMENot measured66.9%Only Qwen3 32B measured
LMArena Text: math14081399Mistral Medium 3.1
LMArena Text: mathematical work14121420Qwen3 32B
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Mistral Medium 3.1 and Qwen3 32B
BenchmarkMistral Medium 3.1Qwen3 32BLeader
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%79.8%Qwen3 32B
LMArena Text: science14441372Mistral Medium 3.1
LMArena Text: medicine and healthcare14491368Mistral Medium 3.1
LMArena Text: legal and government14391324Mistral Medium 3.1
LMArena Text: business and finance14181318Mistral 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 32B
BenchmarkMistral Medium 3.1Qwen3 32BLeader
Design Arena: websites1133Not measuredOnly Mistral Medium 3.1 measured
Design Arena: UI components1100Not measuredOnly Mistral Medium 3.1 measured
Design Arena: game dev1074Not 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: SVG993Not 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 index150
General benchmarks for Mistral Medium 3.1 and Qwen3 32B
BenchmarkMistral Medium 3.1Qwen3 32BLeader
IFBench39.8%36.3%Mistral Medium 3.1
Long context reasoning (AA-LCR)42.7%0.0%Mistral Medium 3.1
DTBench67.5%67.5%Tie
LMCA19.1%17.3%Mistral Medium 3.1
Fiction.LiveBenchNot measured74.2%Only Qwen3 32B measured
LMArena Text14241340Mistral Medium 3.1
LMArena Text: instruction following13981305Mistral Medium 3.1
LMArena Text: creative writing13911297Mistral Medium 3.1
LMArena Vision1172Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: English14381359Mistral Medium 3.1
LMArena Text: non-English14081317Mistral Medium 3.1
LMArena Text: Chinese14471357Mistral Medium 3.1
LMArena Text: German14321341Mistral Medium 3.1
LMArena Text: Japanese1379Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: Korean1380Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: French1460Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: Spanish1433Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: Russian14111311Mistral Medium 3.1
LMArena Text: Polish1430Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: multi-turn14181331Mistral Medium 3.1
LMArena Text: longer queries14061327Mistral Medium 3.1
LMArena Text: writing and language13951298Mistral Medium 3.1
LMArena Text: entertainment and media13901279Mistral 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 16 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 32B
BenchmarkMistral Medium 3.1Qwen3 32BLeader
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 32B$0.0003Fits in one request

Qwen3 32B costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3.1$0.026Fits in one request
Qwen3 32B$0.0082Fits in one request

Qwen3 32B costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3.1$0.100Exceeds the context window
Qwen3 32B$0.032Exceeds the context window

Qwen3 32B 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 32B
SpecificationMistral Medium 3.1Qwen3 32B
MakerMistral AIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 13, 2025April 28, 2025
Context window131K131K
Input $/Mtok$0.40$0.14
Output $/Mtok$2.00$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Medium 3.1 better than Qwen3 32B 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 LiveCodeBench (Artificial Analysis run) or SciCode, where it leads.

Which is cheaper, Mistral Medium 3.1 or Qwen3 32B?

Mistral Medium 3.1 costs $0.40 per million input tokens and $2.00 per million output tokens; Qwen3 32B costs $0.14 and $0.40. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Medium 3.1 or Qwen3 32B?

Neither: both take 131K tokens.

How many benchmarks is the Mistral Medium 3.1 vs Qwen3 32B comparison based on?

37 benchmarks have a result for both models as of October 21, 2026. Mistral Medium 3.1's coding index rests on 0 independent benchmarks and Qwen3 32B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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