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Mistral Medium 3.1 vs Qwen3 30B A3B Instruct 2507

Mistral Medium 3.1 leads Qwen3 30B A3B Instruct 2507 on the Artificial Analysis Intelligence Index, 9.2 to 7.5, and Qwen3 30B A3B Instruct 2507 costs 6.7x less per output token ($0.30 vs $2.00 per million). Updated October 22, 2026; 42 benchmarks have a result for both.

Replace Mistral Medium 3.1 Replace Qwen3 30B A3B Instruct 2507
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
32
Qwen3 30B A3B Instruct 2507Qwen
Coding
No data
Overall
41.5
Output $/M
$0.30
10
vs boards won of 42 shared

Mistral Medium 3.1 or Qwen3 30B A3B Instruct 2507: 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 30B A3B Instruct 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
42
Mistral Medium 3.1 only
32
Qwen3 30B A3B Instruct 2507 only
3
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 30B A3B Instruct 2507 not benchmarked.
Widest category
Math, 14.6 points apart on average over 4 shared benchmarks.
Widest single gap
LiveCodeBench (Artificial Analysis run): Mistral Medium 3.1 40.6% against Qwen3 30B A3B Instruct 2507 70.7%, 30.1 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3.1 $2.00 against Qwen3 30B A3B Instruct 2507 $0.30 per million output tokens, 6.7x apart.
Context window
Mistral Medium 3.1 takes 131K tokens, Qwen3 30B A3B Instruct 2507 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 30B A3B Instruct 2507Ties
Coding32
Intelligence10
Agentic work10
Reasoning32
Math22
Knowledge41
General183
All shared boards3210
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
Coding benchmarks for Mistral Medium 3.1 and Qwen3 30B A3B Instruct 2507
BenchmarkMistral Medium 3.1Qwen3 30B A3B Instruct 2507Leader
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%70.7%Qwen3 30B A3B Instruct 2507
SciCode32.4%33.0%Qwen3 30B A3B Instruct 2507
Terminal-Bench Hard (Artificial Analysis run)10.6%6.1%Mistral Medium 3.1
ALE-Bench210.2Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: coding14331416Mistral Medium 3.1
LMArena Text: software and IT14361417Mistral Medium 3.1
Neither model has a result on the other 35 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Mistral Medium 3.1 and Qwen3 30B A3B Instruct 2507
BenchmarkMistral Medium 3.1Qwen3 30B A3B Instruct 2507Leader
AA Intelligence Index9.27.5Mistral Medium 3.1
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Mistral Medium 3.1 and Qwen3 30B A3B Instruct 2507
BenchmarkMistral Medium 3.1Qwen3 30B A3B Instruct 2507Leader
AA Agentic Index1.9Not measuredOnly Mistral Medium 3.1 measured
τ²-Bench Telecom40.6%28.1%Mistral Medium 3.1
Berkeley Function Calling Leaderboard (BFCL)Not measured41.4%Only Qwen3 30B A3B Instruct 2507 measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for Mistral Medium 3.1 and Qwen3 30B A3B Instruct 2507
BenchmarkMistral Medium 3.1Qwen3 30B A3B Instruct 2507Leader
MMMU Pro (Vals AI)63.0%Not measuredOnly Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)58.8%70.7%Qwen3 30B A3B Instruct 2507
Humanity's Last Exam (Artificial Analysis run)4.7%10.3%Qwen3 30B A3B Instruct 2507
GPQA Diamond (Epoch AI run)Not measured55.6%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: hard prompts14261398Mistral Medium 3.1
LMArena Text: expert14081397Mistral Medium 3.1
LMArena Text: hard prompts in English14351406Mistral 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 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for Mistral Medium 3.1 and Qwen3 30B A3B Instruct 2507
BenchmarkMistral Medium 3.1Qwen3 30B A3B Instruct 2507Leader
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 Index38.366.3Qwen3 30B A3B Instruct 2507
AIME 2025 (Artificial Analysis run)38.3%66.3%Qwen3 30B A3B Instruct 2507
OTIS Mock AIMENot measured62.2%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: math14081394Mistral Medium 3.1
LMArena Text: mathematical work14121411Mistral Medium 3.1
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Mistral Medium 3.1 and Qwen3 30B A3B Instruct 2507
BenchmarkMistral Medium 3.1Qwen3 30B A3B Instruct 2507Leader
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%80.5%Qwen3 30B A3B Instruct 2507
LMArena Text: science14441393Mistral Medium 3.1
LMArena Text: medicine and healthcare14491392Mistral Medium 3.1
LMArena Text: legal and government14391387Mistral Medium 3.1
LMArena Text: business and finance14181389Mistral Medium 3.1
Neither model has a result on the other 9 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 30B A3B Instruct 2507
BenchmarkMistral Medium 3.1Qwen3 30B A3B Instruct 2507Leader
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 index183
General benchmarks for Mistral Medium 3.1 and Qwen3 30B A3B Instruct 2507
BenchmarkMistral Medium 3.1Qwen3 30B A3B Instruct 2507Leader
IFBench39.8%50.7%Qwen3 30B A3B Instruct 2507
Long context reasoning (AA-LCR)42.7%61.3%Qwen3 30B A3B Instruct 2507
DTBench67.5%67.2%Mistral Medium 3.1
LMCA19.1%22.4%Qwen3 30B A3B Instruct 2507
LMArena Text14241384Mistral Medium 3.1
LMArena Text: instruction following13981363Mistral Medium 3.1
LMArena Text: creative writing13911317Mistral Medium 3.1
LMArena Vision1172Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: English14381391Mistral Medium 3.1
LMArena Text: non-English14081372Mistral Medium 3.1
LMArena Text: Chinese14471432Mistral Medium 3.1
LMArena Text: German14321379Mistral Medium 3.1
LMArena Text: Japanese13791337Mistral Medium 3.1
LMArena Text: Korean13801330Mistral Medium 3.1
LMArena Text: French14601419Mistral Medium 3.1
LMArena Text: Spanish14331404Mistral Medium 3.1
LMArena Text: Russian14111369Mistral Medium 3.1
LMArena Text: Polish14301353Mistral Medium 3.1
LMArena Text: multi-turn14181378Mistral Medium 3.1
LMArena Text: longer queries14061378Mistral Medium 3.1
LMArena Text: writing and language13951336Mistral Medium 3.1
LMArena Text: entertainment and media13901334Mistral 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 19 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 30B A3B Instruct 2507
BenchmarkMistral Medium 3.1Qwen3 30B A3B Instruct 2507Leader
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 30B A3B Instruct 2507$0.0002Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3.1$0.026Fits in one request
Qwen3 30B A3B Instruct 2507$0.0054Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3.1$0.100Exceeds the context window
Qwen3 30B A3B Instruct 2507$0.021Fits in one request

Qwen3 30B A3B Instruct 2507 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 30B A3B Instruct 2507
SpecificationMistral Medium 3.1Qwen3 30B A3B Instruct 2507
MakerMistral AIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 13, 2025July 29, 2025
Context window131K262K
Input $/Mtok$0.40$0.09
Output $/Mtok$2.00$0.30
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 30B A3B Instruct 2507 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 30B A3B Instruct 2507?

Mistral Medium 3.1 costs $0.40 per million input tokens and $2.00 per million output tokens; Qwen3 30B A3B Instruct 2507 costs $0.09 and $0.30. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Medium 3.1 or Qwen3 30B A3B Instruct 2507?

Qwen3 30B A3B Instruct 2507, with 262K tokens against 131K.

How many benchmarks is the Mistral Medium 3.1 vs Qwen3 30B A3B Instruct 2507 comparison based on?

42 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 30B A3B Instruct 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

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