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Mistral Medium 3.1 vs Qwen3 Coder 480B A35B

Updated October 21, 2026. 45 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Mistral Medium 3.1 Replace Qwen3 Coder 480B A35B
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
9.2
Output $/M
$2.00
30
Qwen3 Coder 480B A35BQwen
Coding
No data
Overall
11.9
Output $/M
$1.50
15
vs boards won of 45 shared

Decision reading

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

Mistral Medium 3.1 has the edge where what matters is 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 Coder 480B A35BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
45
Mistral Medium 3.1 only
29
Qwen3 Coder 480B A35B only
7
Like-for-like categories
8 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 3.1 not benchmarked, Qwen3 Coder 480B A35B not benchmarked.
Widest category
Knowledge, 14.0 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Text: German: Mistral Medium 3.1 1432 against Qwen3 Coder 480B A35B 1325, 17.9 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3.1 $2.00 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 1.3x apart.
Context window
Mistral Medium 3.1 takes 131K tokens, Qwen3 Coder 480B A35B 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 Coder 480B A35BTies
Coding23
Intelligence01
Agentic work01
Reasoning41
Math22
Knowledge41
Web design14
General172
All shared boards3015
CodingLike-for-likeSix of these boards feed the Vibe Coding Index23
Coding benchmarks for Mistral Medium 3.1 and Qwen3 Coder 480B A35B
BenchmarkMistral Medium 3.1Qwen3 Coder 480B A35BLeader
SWE-bench VerifiedNot measured69.6%Only Qwen3 Coder 480B A35B measured
LMArena WebDevNot measured1275Only Qwen3 Coder 480B A35B 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%58.5%Qwen3 Coder 480B A35B
SciCode32.4%Not measuredOnly Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)10.6%18.9%Qwen3 Coder 480B A35B
Terminal-BenchNot measured27.2%Only Qwen3 Coder 480B A35B measured
GSO-BenchNot measured4.9%Only Qwen3 Coder 480B A35B measured
WeirdMLNot measured41.2%Only Qwen3 Coder 480B A35B measured
ALE-Bench210.2461.4Qwen3 Coder 480B A35B
LMArena Text: coding14331412Mistral Medium 3.1
LMArena Text: software and IT14361393Mistral Medium 3.1
LMArena WebDev: ReactNot measured1257Only Qwen3 Coder 480B A35B measured
LMArena WebDev: HTMLNot measured1287Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mistral Medium 3.1 and Qwen3 Coder 480B A35B
BenchmarkMistral Medium 3.1Qwen3 Coder 480B A35BLeader
AA Intelligence Index9.211.9Qwen3 Coder 480B A35B
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 Coder 480B A35B
BenchmarkMistral Medium 3.1Qwen3 Coder 480B A35BLeader
AA Agentic Index1.9Not measuredOnly Mistral Medium 3.1 measured
τ²-Bench Telecom40.6%43.6%Qwen3 Coder 480B A35B
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index41
Reasoning benchmarks for Mistral Medium 3.1 and Qwen3 Coder 480B A35B
BenchmarkMistral Medium 3.1Qwen3 Coder 480B A35BLeader
MMMU Pro (Vals AI)63.0%Not measuredOnly Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)58.8%61.8%Qwen3 Coder 480B A35B
Humanity's Last Exam (Artificial Analysis run)4.7%4.5%Mistral Medium 3.1
LMArena Text: hard prompts14261372Mistral Medium 3.1
LMArena Text: expert14081338Mistral Medium 3.1
LMArena Text: hard prompts in English14351380Mistral 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 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for Mistral Medium 3.1 and Qwen3 Coder 480B A35B
BenchmarkMistral Medium 3.1Qwen3 Coder 480B A35BLeader
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 Index38.339.3Qwen3 Coder 480B A35B
AIME 2025 (Artificial Analysis run)38.3%39.3%Qwen3 Coder 480B A35B
LMArena Text: math14081365Mistral Medium 3.1
LMArena Text: mathematical work14121367Mistral 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 Coder 480B A35B
BenchmarkMistral Medium 3.1Qwen3 Coder 480B A35BLeader
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%78.8%Qwen3 Coder 480B A35B
LMArena Text: science14441347Mistral Medium 3.1
LMArena Text: medicine and healthcare14491347Mistral Medium 3.1
LMArena Text: legal and government14391358Mistral Medium 3.1
LMArena Text: business and finance14181343Mistral Medium 3.1
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index14
Web design benchmarks for Mistral Medium 3.1 and Qwen3 Coder 480B A35B
BenchmarkMistral Medium 3.1Qwen3 Coder 480B A35BLeader
Design Arena: websites11331159Qwen3 Coder 480B A35B
Design Arena: UI components10991113Qwen3 Coder 480B A35B
Design Arena: game dev10741099Qwen3 Coder 480B A35B
Design Arena: data viz11441084Mistral Medium 3.1
Design Arena: 3D1081Not measuredOnly Mistral Medium 3.1 measured
Design Arena: all code categories11201143Qwen3 Coder 480B A35B
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 index172
General benchmarks for Mistral Medium 3.1 and Qwen3 Coder 480B A35B
BenchmarkMistral Medium 3.1Qwen3 Coder 480B A35BLeader
IFBench39.8%40.5%Qwen3 Coder 480B A35B
Long context reasoning (AA-LCR)42.7%45.7%Qwen3 Coder 480B A35B
DTBench67.5%Not measuredOnly Mistral Medium 3.1 measured
LMCA19.1%Not measuredOnly Mistral Medium 3.1 measured
LMArena Text14241357Mistral Medium 3.1
LMArena Text: instruction following13981355Mistral Medium 3.1
LMArena Text: creative writing13911333Mistral Medium 3.1
LMArena Vision1172Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: English14381359Mistral Medium 3.1
LMArena Text: non-English14081346Mistral Medium 3.1
LMArena Text: Chinese14471357Mistral Medium 3.1
LMArena Text: German14321325Mistral Medium 3.1
LMArena Text: Japanese13791311Mistral Medium 3.1
LMArena Text: Korean13801305Mistral Medium 3.1
LMArena Text: French14601398Mistral Medium 3.1
LMArena Text: Spanish14331360Mistral Medium 3.1
LMArena Text: Russian14111366Mistral Medium 3.1
LMArena Text: Polish14301344Mistral Medium 3.1
LMArena Text: multi-turn14181366Mistral Medium 3.1
LMArena Text: longer queries14061378Mistral Medium 3.1
LMArena Text: writing and language13951340Mistral Medium 3.1
LMArena Text: entertainment and media13901317Mistral 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 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 Coder 480B A35B
BenchmarkMistral Medium 3.1Qwen3 Coder 480B A35BLeader
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 Coder 480B A35B$0.0010Fits in one request

Qwen3 Coder 480B A35B costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3.1$0.026Fits in one request
Qwen3 Coder 480B A35B$0.019Fits in one request

Qwen3 Coder 480B A35B costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3.1$0.100Exceeds the context window
Qwen3 Coder 480B A35B$0.075Fits in one request

Qwen3 Coder 480B A35B 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 Coder 480B A35B
SpecificationMistral Medium 3.1Qwen3 Coder 480B A35B
MakerMistral AIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 13, 2025July 23, 2025
Context window131K262K
Input $/Mtok$0.40$0.30
Output $/Mtok$2.00$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Medium 3.1 better than Qwen3 Coder 480B A35B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Mistral Medium 3.1 has the edge where what matters is LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Mistral Medium 3.1 or Qwen3 Coder 480B A35B?

Mistral Medium 3.1 costs $0.40 per million input tokens and $2.00 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Medium 3.1 or Qwen3 Coder 480B A35B?

Qwen3 Coder 480B A35B, with 262K tokens against 131K.

How many benchmarks is the Mistral Medium 3.1 vs Qwen3 Coder 480B A35B comparison based on?

45 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 Coder 480B A35B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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