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Mistral Medium 3.1 vs Qwen3 VL 235B A22B Instruct

Qwen3 VL 235B A22B Instruct leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 9.9 to 9.2, at about the same output price ($1.90 vs $2.00 per million). Updated October 22, 2026; 49 benchmarks have a result for both.

Replace Mistral Medium 3.1 Replace Qwen3 VL 235B A22B Instruct
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
13
Qwen3 VL 235B A22B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.90
36
vs boards won of 49 shared

Mistral Medium 3.1 or Qwen3 VL 235B A22B Instruct: 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 Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 VL 235B A22B InstructQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
49
Mistral Medium 3.1 only
25
Qwen3 VL 235B A22B Instruct only
0
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 VL 235B A22B Instruct not benchmarked.
Widest category
Math, 26.0 points apart on average over 4 shared benchmarks.
Widest single gap
AA Math Index: Mistral Medium 3.1 38.3 against Qwen3 VL 235B A22B Instruct 88.3, 50.0 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3.1 $2.00 against Qwen3 VL 235B A22B Instruct $1.90 per million output tokens, 1.1x apart.
Context window
Mistral Medium 3.1 takes 131K tokens, Qwen3 VL 235B A22B Instruct 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 VL 235B A22B InstructTies
Coding04
Intelligence01
Agentic work01
Reasoning07
Math04
Knowledge23
General1116
All shared boards1336
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Mistral Medium 3.1 and Qwen3 VL 235B A22B Instruct
BenchmarkMistral Medium 3.1Qwen3 VL 235B A22B InstructLeader
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%64.6%Qwen3 VL 235B A22B Instruct
SciCode32.4%Not measuredOnly Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)10.6%11.4%Qwen3 VL 235B A22B Instruct
ALE-Bench210.2Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: coding14331438Qwen3 VL 235B A22B Instruct
LMArena Text: software and IT14361442Qwen3 VL 235B A22B Instruct
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mistral Medium 3.1 and Qwen3 VL 235B A22B Instruct
BenchmarkMistral Medium 3.1Qwen3 VL 235B A22B InstructLeader
AA Intelligence Index9.29.9Qwen3 VL 235B A22B Instruct
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Mistral Medium 3.1 and Qwen3 VL 235B A22B Instruct
BenchmarkMistral Medium 3.1Qwen3 VL 235B A22B InstructLeader
AA Agentic Index1.9Not measuredOnly Mistral Medium 3.1 measured
τ²-Bench Telecom40.6%54.1%Qwen3 VL 235B A22B Instruct
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Mistral Medium 3.1 and Qwen3 VL 235B A22B Instruct
BenchmarkMistral Medium 3.1Qwen3 VL 235B A22B InstructLeader
MMMU Pro (Vals AI)63.0%Not measuredOnly Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)58.8%77.2%Qwen3 VL 235B A22B Instruct
Humanity's Last Exam (Artificial Analysis run)4.7%11.9%Qwen3 VL 235B A22B Instruct
LMArena Text: hard prompts14261428Qwen3 VL 235B A22B Instruct
LMArena Text: expert14081442Qwen3 VL 235B A22B Instruct
LMArena Text: hard prompts in English14351439Qwen3 VL 235B A22B Instruct
LMArena Vision: diagrams11751255Qwen3 VL 235B A22B Instruct
LMArena Vision: homework11651277Qwen3 VL 235B A22B Instruct
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Mistral Medium 3.1 and Qwen3 VL 235B A22B Instruct
BenchmarkMistral Medium 3.1Qwen3 VL 235B A22B InstructLeader
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 Index38.388.3Qwen3 VL 235B A22B Instruct
AIME 2025 (Artificial Analysis run)38.3%88.3%Qwen3 VL 235B A22B Instruct
LMArena Text: math14081425Qwen3 VL 235B A22B Instruct
LMArena Text: mathematical work14121419Qwen3 VL 235B A22B Instruct
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
Knowledge benchmarks for Mistral Medium 3.1 and Qwen3 VL 235B A22B Instruct
BenchmarkMistral Medium 3.1Qwen3 VL 235B A22B InstructLeader
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%83.6%Qwen3 VL 235B A22B Instruct
LMArena Text: science14441444Qwen3 VL 235B A22B Instruct
LMArena Text: medicine and healthcare14491431Mistral Medium 3.1
LMArena Text: legal and government14391438Mistral Medium 3.1
LMArena Text: business and finance14181433Qwen3 VL 235B A22B Instruct
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 VL 235B A22B Instruct
BenchmarkMistral Medium 3.1Qwen3 VL 235B A22B InstructLeader
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 index1116
General benchmarks for Mistral Medium 3.1 and Qwen3 VL 235B A22B Instruct
BenchmarkMistral Medium 3.1Qwen3 VL 235B A22B InstructLeader
IFBench39.8%56.5%Qwen3 VL 235B A22B Instruct
Long context reasoning (AA-LCR)42.7%63.7%Qwen3 VL 235B A22B Instruct
DTBench67.5%Not measuredOnly Mistral Medium 3.1 measured
LMCA19.1%Not measuredOnly Mistral Medium 3.1 measured
LMArena Text14241420Mistral Medium 3.1
LMArena Text: instruction following13981406Qwen3 VL 235B A22B Instruct
LMArena Text: creative writing13911366Mistral Medium 3.1
LMArena Vision11721247Qwen3 VL 235B A22B Instruct
LMArena Text: English14381429Mistral Medium 3.1
LMArena Text: non-English14081405Mistral Medium 3.1
LMArena Text: Chinese14471463Qwen3 VL 235B A22B Instruct
LMArena Text: German14321424Mistral Medium 3.1
LMArena Text: Japanese13791385Qwen3 VL 235B A22B Instruct
LMArena Text: Korean13801394Qwen3 VL 235B A22B Instruct
LMArena Text: French14601452Mistral Medium 3.1
LMArena Text: Spanish14331428Mistral Medium 3.1
LMArena Text: Russian14111408Mistral Medium 3.1
LMArena Text: Polish14301419Mistral Medium 3.1
LMArena Text: multi-turn14181428Qwen3 VL 235B A22B Instruct
LMArena Text: longer queries14061419Qwen3 VL 235B A22B Instruct
LMArena Text: writing and language13951392Mistral Medium 3.1
LMArena Text: entertainment and media13901368Mistral Medium 3.1
LMArena Vision: English11791256Qwen3 VL 235B A22B Instruct
LMArena Vision: Chinese11901283Qwen3 VL 235B A22B Instruct
LMArena Vision: reading text11751253Qwen3 VL 235B A22B Instruct
LMArena Vision: humor11681209Qwen3 VL 235B A22B Instruct
LMArena Vision: captioning11451281Qwen3 VL 235B A22B Instruct
LMArena Vision: recognizing things11471249Qwen3 VL 235B A22B Instruct
LMArena Vision: creative writing12001220Qwen3 VL 235B A22B Instruct
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 VL 235B A22B Instruct
BenchmarkMistral Medium 3.1Qwen3 VL 235B A22B InstructLeader
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 VL 235B A22B Instruct$0.0012Fits in one request

Qwen3 VL 235B A22B Instruct costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3.1$0.026Fits in one request
Qwen3 VL 235B A22B Instruct$0.016Fits in one request

Qwen3 VL 235B A22B Instruct costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3.1$0.100Exceeds the context window
Qwen3 VL 235B A22B Instruct$0.061Fits in one request

Qwen3 VL 235B A22B Instruct 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 VL 235B A22B Instruct
SpecificationMistral Medium 3.1Qwen3 VL 235B A22B Instruct
MakerMistral AIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 13, 2025September 23, 2025
Context window131K262K
Input $/Mtok$0.40$0.21
Output $/Mtok$2.00$1.90
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 VL 235B A22B Instruct 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 Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Mistral Medium 3.1 or Qwen3 VL 235B A22B Instruct?

Mistral Medium 3.1 costs $0.40 per million input tokens and $2.00 per million output tokens; Qwen3 VL 235B A22B Instruct costs $0.21 and $1.90. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Medium 3.1 or Qwen3 VL 235B A22B Instruct?

Qwen3 VL 235B A22B Instruct, with 262K tokens against 131K.

How many benchmarks is the Mistral Medium 3.1 vs Qwen3 VL 235B A22B Instruct comparison based on?

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

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