Enter opens the highlighted result. Esc closes.

Mistral Medium 3.5 vs Qwen3 235B A22B Thinking 2507

Mistral Medium 3.5 leads Qwen3 235B A22B Thinking 2507 on the Artificial Analysis Intelligence Index, 14.2 to 12.7, and Qwen3 235B A22B Thinking 2507 costs 2.1x less per output token ($3.50 vs $7.50 per million). Updated October 22, 2026; 37 benchmarks have a result for both.

Replace Mistral Medium 3.5 Replace Qwen3 235B A22B Thinking 2507
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
28
Qwen3 235B A22B Thinking 2507Qwen
Coding
No data
Overall
52.9
Output $/M
$3.50
9
vs boards won of 37 shared

Mistral Medium 3.5 or Qwen3 235B A22B Thinking 2507: which to pick

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Qwen3 235B A22B Thinking 2507 has none, so the two cannot be ranked on coding.

Pick Qwen3 235B A22B Thinking 2507 for output tokens 2.1x cheaper ($3.50 vs $7.50 per million) and work measured by LMArena Text: expert or LMArena Text: science, where it leads.

Model AMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved taskModel BQwen3 235B A22B Thinking 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
37
Mistral Medium 3.5 only
44
Qwen3 235B A22B Thinking 2507 only
9
Like-for-like categories
8 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 235B A22B Thinking 2507 not benchmarked.
Widest category
Web design, 13.9 points apart on average over 6 shared benchmarks.
Widest single gap
AA Coding Index: Mistral Medium 3.5 46.9 against Qwen3 235B A22B Thinking 2507 22.1, 24.8 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3.5 $7.50 against Qwen3 235B A22B Thinking 2507 $3.50 per million output tokens, 2.1x apart.
Context window
Mistral Medium 3.5 takes 262K tokens, Qwen3 235B A22B Thinking 2507 128K.

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 235B A22B Thinking 2507Ties
Coding30
Intelligence10
Agentic work10
Reasoning21
Math20
Knowledge22
Web design60
General116
All shared boards289
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Mistral Medium 3.5 and Qwen3 235B A22B Thinking 2507
BenchmarkMistral Medium 3.5Qwen3 235B A22B Thinking 2507Leader
LMArena WebDev1264Not measuredOnly Mistral Medium 3.5 measured
AA Coding Index46.922.1Mistral Medium 3.5
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%Not measuredOnly Mistral Medium 3.5 measured
WeirdMLNot measured41.0%Only Qwen3 235B A22B Thinking 2507 measured
ALE-Bench764.0Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: coding14601424Mistral Medium 3.5
LMArena Text: software and IT14581431Mistral Medium 3.5
LMArena WebDev: React1254Not measuredOnly Mistral Medium 3.5 measured
LMArena WebDev: HTML1308Not measuredOnly Mistral Medium 3.5 measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Mistral Medium 3.5 and Qwen3 235B A22B Thinking 2507
BenchmarkMistral Medium 3.5Qwen3 235B A22B Thinking 2507Leader
AA Intelligence Index14.212.7Mistral Medium 3.5
Epoch Capabilities Index141.4Not measuredOnly Mistral Medium 3.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Mistral Medium 3.5 and Qwen3 235B A22B Thinking 2507
BenchmarkMistral Medium 3.5Qwen3 235B A22B Thinking 2507Leader
AA Agentic Index7.01.3Mistral Medium 3.5
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%Not measuredOnly Mistral Medium 3.5 measured
Vending-Bench 2Not measured-$11Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index21
Reasoning benchmarks for Mistral Medium 3.5 and Qwen3 235B A22B Thinking 2507
BenchmarkMistral Medium 3.5Qwen3 235B A22B Thinking 2507Leader
GPQA Diamond34.9%Not measuredOnly Mistral Medium 3.5 measured
GPQA Diamond (Artificial Analysis run)74.8%Not measuredOnly Mistral Medium 3.5 measured
Humanity's Last Exam (Artificial Analysis run)13.8%Not measuredOnly Mistral Medium 3.5 measured
GPQA Diamond (Epoch AI run)Not measured80.1%Only Qwen3 235B A22B Thinking 2507 measured
Mystery game puzzlesNot measured9.0%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: hard prompts14361416Mistral Medium 3.5
LMArena Text: expert14321463Qwen3 235B A22B Thinking 2507
LMArena Text: hard prompts in English14451432Mistral 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 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Mistral Medium 3.5 and Qwen3 235B A22B Thinking 2507
BenchmarkMistral Medium 3.5Qwen3 235B A22B Thinking 2507Leader
OTIS Mock AIMENot measured86.7%Only Qwen3 235B A22B Thinking 2507 measured
ProofBench9.0%Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: math14311412Mistral Medium 3.5
LMArena Text: mathematical work14401435Mistral 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 index22
Knowledge benchmarks for Mistral Medium 3.5 and Qwen3 235B A22B Thinking 2507
BenchmarkMistral Medium 3.5Qwen3 235B A22B Thinking 2507Leader
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
SimpleQA VerifiedNot measured40.4%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: science14281433Qwen3 235B A22B Thinking 2507
LMArena Text: medicine and healthcare14091456Qwen3 235B A22B Thinking 2507
LMArena Text: legal and government14371415Mistral Medium 3.5
LMArena Text: business and finance14261413Mistral Medium 3.5
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Mistral Medium 3.5 and Qwen3 235B A22B Thinking 2507
BenchmarkMistral Medium 3.5Qwen3 235B A22B Thinking 2507Leader
Design Arena: websites11421052Mistral Medium 3.5
Design Arena: UI components1076942Mistral Medium 3.5
Design Arena: game dev1079956Mistral Medium 3.5
Design Arena: data viz1120950Mistral Medium 3.5
Design Arena: 3D1060997Mistral Medium 3.5
Design Arena: all code categories11211032Mistral Medium 3.5
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 index116
General benchmarks for Mistral Medium 3.5 and Qwen3 235B A22B Thinking 2507
BenchmarkMistral Medium 3.5Qwen3 235B A22B Thinking 2507Leader
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%Not measuredOnly Mistral Medium 3.5 measured
Long context reasoning (AA-LCR)69.3%Not measuredOnly Mistral Medium 3.5 measured
DTBench75.5%80.3%Qwen3 235B A22B Thinking 2507
LMCA26.1%29.3%Qwen3 235B A22B Thinking 2507
Fiction.LiveBenchNot measured75.0%Only Qwen3 235B A22B Thinking 2507 measured
Creative writing (Lech Mazur)Not measured82.4%Only Qwen3 235B A22B Thinking 2507 measured
Surface Evolver Bench26.9%Not measuredOnly Mistral Medium 3.5 measured
LMArena Text14211415Mistral Medium 3.5
LMArena Text: instruction following14151386Mistral Medium 3.5
LMArena Text: creative writing13741384Qwen3 235B A22B Thinking 2507
LMArena Vision1222Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: English14331429Mistral Medium 3.5
LMArena Text: non-English14041397Mistral Medium 3.5
LMArena Text: Chinese14441481Qwen3 235B A22B Thinking 2507
LMArena Text: German14531408Mistral Medium 3.5
LMArena Text: JapaneseNot measured1386Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: Korean13841375Mistral Medium 3.5
LMArena Text: French1448Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: Spanish14111389Mistral Medium 3.5
LMArena Text: Russian13951401Qwen3 235B A22B Thinking 2507
LMArena Text: Polish14301390Mistral Medium 3.5
LMArena Text: multi-turn14231406Mistral Medium 3.5
LMArena Text: longer queries14151400Mistral Medium 3.5
LMArena Text: writing and language13841388Qwen3 235B A22B Thinking 2507
LMArena Text: entertainment and media13821370Mistral 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 13 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 235B A22B Thinking 2507
BenchmarkMistral Medium 3.5Qwen3 235B A22B Thinking 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 3.5$0.0053Fits in one request
Qwen3 235B A22B Thinking 2507$0.0022Fits in one request

Qwen3 235B A22B Thinking 2507 costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3.5$0.098Fits in one request
Qwen3 235B A22B Thinking 2507$0.033Fits in one request

Qwen3 235B A22B Thinking 2507 costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3.5$0.375Fits in one request
Qwen3 235B A22B Thinking 2507$0.125Exceeds the context window

Qwen3 235B A22B Thinking 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 3.5 and Qwen3 235B A22B Thinking 2507
SpecificationMistral Medium 3.5Qwen3 235B A22B Thinking 2507
MakerMistral AIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 30, 2026July 25, 2025
Context window262K128K
Input $/Mtok$1.50$0.45
Output $/Mtok$7.50$3.50
Coding index25.5Not benchmarked
Independent measurements behind it30
Cost per solved task$6.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Medium 3.5 better than Qwen3 235B A22B Thinking 2507 for coding?

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Qwen3 235B A22B Thinking 2507 has none, so the two cannot be ranked on coding. Pick Qwen3 235B A22B Thinking 2507 for output tokens 2.1x cheaper ($3.50 vs $7.50 per million) and work measured by LMArena Text: expert or LMArena Text: science, where it leads.

Which is cheaper, Mistral Medium 3.5 or Qwen3 235B A22B Thinking 2507?

Mistral Medium 3.5 costs $1.50 per million input tokens and $7.50 per million output tokens; Qwen3 235B A22B Thinking 2507 costs $0.45 and $3.50. Cost per solved task is known for Mistral Medium 3.5 only.

Which has the bigger context window, Mistral Medium 3.5 or Qwen3 235B A22B Thinking 2507?

Mistral Medium 3.5, with 262K tokens against 128K.

How many benchmarks is the Mistral Medium 3.5 vs Qwen3 235B A22B Thinking 2507 comparison based on?

37 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 235B A22B Thinking 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next