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Mistral Medium 3 vs Qwen3 32B

Updated October 21, 2026. 36 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Mistral Medium 3Mistral AI
Coding
No data
Overall
9.0
Output $/M
$2.00
24
Qwen3 32BQwen
Coding
No data
Overall
7.3
Output $/M
$0.40
12
vs boards won of 36 shared

Decision reading

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

Mistral Medium 3 has the edge where what matters is LiveCodeBench (Artificial Analysis run) or Epoch Capabilities Index, where it leads.

Shared results
36
Mistral Medium 3 only
21
Qwen3 32B only
6
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 32B not benchmarked.
Widest category
Math, 26.0 points apart on average over 4 shared benchmarks.
Widest single gap
AA Math Index: Mistral Medium 3 30.3 against Qwen3 32B 73.0, 42.7 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3 $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 3BarsQwen3 32BTies
Coding31
Intelligence11
Agentic work01
Reasoning23
Math04
Knowledge41
General141
All shared boards2412
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
Coding benchmarks for Mistral Medium 3 and Qwen3 32B
BenchmarkMistral Medium 3Qwen3 32BLeader
Aider polyglotNot measured40.0%Only Qwen3 32B measured
LiveCodeBench (Artificial Analysis run)40.0%54.6%Qwen3 32B
SciCodeNot measured36.0%Only Qwen3 32B measured
Terminal-Bench Hard (Artificial Analysis run)3.8%3.0%Mistral Medium 3
LMArena Text: coding13851357Mistral Medium 3
LMArena Text: software and IT13851366Mistral Medium 3
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Mistral Medium 3 and Qwen3 32B
BenchmarkMistral Medium 3Qwen3 32BLeader
AA Intelligence Index9.07.3Mistral Medium 3
Epoch Capabilities Index134.0138.4Qwen3 32B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Mistral Medium 3 and Qwen3 32B
BenchmarkMistral Medium 3Qwen3 32BLeader
τ²-Bench Telecom24.3%29.8%Qwen3 32B
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
Reasoning benchmarks for Mistral Medium 3 and Qwen3 32B
BenchmarkMistral Medium 3Qwen3 32BLeader
GPQA Diamond (Artificial Analysis run)57.8%66.8%Qwen3 32B
Humanity's Last Exam (Artificial Analysis run)4.1%7.4%Qwen3 32B
GPQA Diamond (Epoch AI run)Not measured65.7%Only Qwen3 32B measured
LMArena Text: hard prompts13641334Mistral Medium 3
LMArena Text: expert13421362Qwen3 32B
LMArena Text: hard prompts in English13741350Mistral Medium 3
LMArena Vision: diagrams1155Not measuredOnly Mistral Medium 3 measured
LMArena Vision: homework1165Not measuredOnly Mistral Medium 3 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Mistral Medium 3 and Qwen3 32B
BenchmarkMistral Medium 3Qwen3 32BLeader
AA Math Index30.373.0Qwen3 32B
AIME 2025 (Artificial Analysis run)30.3%73.0%Qwen3 32B
OTIS Mock AIMENot measured66.9%Only Qwen3 32B measured
LMArena Text: math13531399Qwen3 32B
LMArena Text: mathematical work13541420Qwen3 32B
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Mistral Medium 3 and Qwen3 32B
BenchmarkMistral Medium 3Qwen3 32BLeader
MMLU Pro (Artificial Analysis run)76.0%79.8%Qwen3 32B
LMArena Text: science13811372Mistral Medium 3
LMArena Text: medicine and healthcare13811368Mistral Medium 3
LMArena Text: legal and government13841324Mistral Medium 3
LMArena Text: business and finance13521318Mistral Medium 3
Neither model has a result on the other 12 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 32B
BenchmarkMistral Medium 3Qwen3 32BLeader
Design Arena: websites1079Not measuredOnly Mistral Medium 3 measured
Design Arena: UI components1024Not measuredOnly Mistral Medium 3 measured
Design Arena: game dev1018Not 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 categories1069Not 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 index141
General benchmarks for Mistral Medium 3 and Qwen3 32B
BenchmarkMistral Medium 3Qwen3 32BLeader
IFBench39.3%36.3%Mistral Medium 3
Long context reasoning (AA-LCR)31.3%0.0%Mistral Medium 3
DTBench62.3%67.5%Qwen3 32B
LMCANot measured17.3%Only Qwen3 32B measured
Fiction.LiveBenchNot measured74.2%Only Qwen3 32B measured
LMArena Text13701340Mistral Medium 3
LMArena Text: instruction following13381305Mistral Medium 3
LMArena Text: creative writing13431297Mistral Medium 3
LMArena Vision1157Not measuredOnly Mistral Medium 3 measured
LMArena Text: English13851359Mistral Medium 3
LMArena Text: non-English13531317Mistral Medium 3
LMArena Text: Chinese13741357Mistral Medium 3
LMArena Text: German13771341Mistral Medium 3
LMArena Text: Japanese1316Not measuredOnly Mistral Medium 3 measured
LMArena Text: Korean1304Not measuredOnly Mistral Medium 3 measured
LMArena Text: French1368Not measuredOnly Mistral Medium 3 measured
LMArena Text: Spanish1364Not measuredOnly Mistral Medium 3 measured
LMArena Text: Russian13591311Mistral Medium 3
LMArena Text: Polish1371Not measuredOnly Mistral Medium 3 measured
LMArena Text: multi-turn13841331Mistral Medium 3
LMArena Text: longer queries13601327Mistral Medium 3
LMArena Text: writing and language13521298Mistral Medium 3
LMArena Text: entertainment and media13351279Mistral Medium 3
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 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 and Qwen3 32B
BenchmarkMistral Medium 3Qwen3 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$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$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$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 and Qwen3 32B
SpecificationMistral Medium 3Qwen3 32B
MakerMistral AIQwen
WeightsNo public weights listedOpen weights
ReleasedMay 7, 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 better than Qwen3 32B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Mistral Medium 3 has the edge where what matters is LiveCodeBench (Artificial Analysis run) or Epoch Capabilities Index, where it leads.

Which is cheaper, Mistral Medium 3 or Qwen3 32B?

Mistral Medium 3 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 or Qwen3 32B?

Neither: both take 131K tokens.

How many benchmarks is the Mistral Medium 3 vs Qwen3 32B comparison based on?

36 benchmarks have a result for both models as of October 21, 2026. Mistral Medium 3'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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