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Mistral Medium 3.5 vs Qwen3 30B A3B

Mistral Medium 3.5 leads Qwen3 30B A3B on the Artificial Analysis Intelligence Index, 14.2 to 7.6, and Qwen3 30B A3B costs 15.0x less per output token ($0.50 vs $7.50 per million). Updated October 22, 2026; 42 benchmarks have a result for both.

Replace Mistral Medium 3.5 Replace Qwen3 30B A3B
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
42
Qwen3 30B A3BQwen
Coding
No data
Overall
38.2
Output $/M
$0.50
0
vs boards won of 42 shared

Mistral Medium 3.5 or Qwen3 30B A3B: which to pick

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Qwen3 30B A3B has none, so the two cannot be ranked on coding.

Pick Qwen3 30B A3B for output tokens 15.0x cheaper ($0.50 vs $7.50 per million).

Model AMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved taskModel BQwen3 30B A3BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
42
Mistral Medium 3.5 only
39
Qwen3 30B A3B only
10
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 30B A3B not benchmarked.
Widest category
Agentic work, 68.1 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): Mistral Medium 3.5 69.3% against Qwen3 30B A3B 0.0%, 69.3 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3.5 $7.50 against Qwen3 30B A3B $0.50 per million output tokens, 15.0x apart.
Context window
Mistral Medium 3.5 takes 262K tokens, Qwen3 30B A3B 41K.

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 30B A3BTies
Coding30
Intelligence20
Agentic work10
Reasoning50
Math20
Knowledge40
Web design50
General200
All shared boards420
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Mistral Medium 3.5 and Qwen3 30B A3B
BenchmarkMistral Medium 3.5Qwen3 30B A3BLeader
LMArena WebDev1264Not measuredOnly Mistral Medium 3.5 measured
AA Coding Index46.9Not measuredOnly Mistral Medium 3.5 measured
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
LiveCodeBench (Artificial Analysis run)Not measured50.6%Only Qwen3 30B A3B measured
SciCode40.2%Not measuredOnly Mistral Medium 3.5 measured
Terminal-Bench Hard (Artificial Analysis run)33.3%6.8%Mistral Medium 3.5
WeirdMLNot measured29.8%Only Qwen3 30B A3B measured
ALE-Bench764.0Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: coding14601337Mistral Medium 3.5
LMArena Text: software and IT14581340Mistral 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 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Mistral Medium 3.5 and Qwen3 30B A3B
BenchmarkMistral Medium 3.5Qwen3 30B A3BLeader
AA Intelligence Index14.27.6Mistral Medium 3.5
Epoch Capabilities Index141.4137.3Mistral Medium 3.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Mistral Medium 3.5 and Qwen3 30B A3B
BenchmarkMistral Medium 3.5Qwen3 30B A3BLeader
AA Agentic Index7.0Not measuredOnly Mistral Medium 3.5 measured
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%26.0%Mistral Medium 3.5
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Mistral Medium 3.5 and Qwen3 30B A3B
BenchmarkMistral Medium 3.5Qwen3 30B A3BLeader
GPQA Diamond34.9%Not measuredOnly Mistral Medium 3.5 measured
GPQA Diamond (Artificial Analysis run)74.8%61.6%Mistral Medium 3.5
Humanity's Last Exam (Artificial Analysis run)13.8%6.2%Mistral Medium 3.5
GPQA Diamond (Epoch AI run)Not measured61.7%Only Qwen3 30B A3B measured
LMArena Text: hard prompts14361314Mistral Medium 3.5
LMArena Text: expert14321314Mistral Medium 3.5
LMArena Text: hard prompts in English14451329Mistral 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 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Mistral Medium 3.5 and Qwen3 30B A3B
BenchmarkMistral Medium 3.5Qwen3 30B A3BLeader
AA Math IndexNot measured72.3Only Qwen3 30B A3B measured
AIME 2025 (Artificial Analysis run)Not measured72.3%Only Qwen3 30B A3B measured
OTIS Mock AIMENot measured62.8%Only Qwen3 30B A3B measured
ProofBench9.0%Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: math14311355Mistral Medium 3.5
LMArena Text: mathematical work14401363Mistral Medium 3.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Mistral Medium 3.5 and Qwen3 30B A3B
BenchmarkMistral Medium 3.5Qwen3 30B A3BLeader
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
MMLU Pro (Artificial Analysis run)Not measured77.7%Only Qwen3 30B A3B measured
LMArena Text: science14281321Mistral Medium 3.5
LMArena Text: medicine and healthcare14091318Mistral Medium 3.5
LMArena Text: legal and government14371314Mistral Medium 3.5
LMArena Text: business and finance14261309Mistral 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 index50
Web design benchmarks for Mistral Medium 3.5 and Qwen3 30B A3B
BenchmarkMistral Medium 3.5Qwen3 30B A3BLeader
Design Arena: websites1142954Mistral Medium 3.5
Design Arena: UI components1076943Mistral Medium 3.5
Design Arena: game dev1079898Mistral Medium 3.5
Design Arena: data viz1120967Mistral Medium 3.5
Design Arena: 3D1060Not measuredOnly Mistral Medium 3.5 measured
Design Arena: all code categories1121941Mistral 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 index200
General benchmarks for Mistral Medium 3.5 and Qwen3 30B A3B
BenchmarkMistral Medium 3.5Qwen3 30B A3BLeader
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%41.5%Mistral Medium 3.5
Long context reasoning (AA-LCR)69.3%0.0%Mistral Medium 3.5
DTBench75.5%60.3%Mistral Medium 3.5
LMCA26.1%15.8%Mistral Medium 3.5
Fiction.LiveBenchNot measured40.6%Only Qwen3 30B A3B measured
Creative writing (Lech Mazur)Not measured75.3%Only Qwen3 30B A3B measured
Surface Evolver Bench26.9%Not measuredOnly Mistral Medium 3.5 measured
LMArena Text14211317Mistral Medium 3.5
LMArena Text: instruction following14151283Mistral Medium 3.5
LMArena Text: creative writing13741271Mistral Medium 3.5
LMArena Vision1222Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: English14331335Mistral Medium 3.5
LMArena Text: non-English14041295Mistral Medium 3.5
LMArena Text: Chinese14441347Mistral Medium 3.5
LMArena Text: German14531307Mistral Medium 3.5
LMArena Text: JapaneseNot measured1254Only Qwen3 30B A3B measured
LMArena Text: Korean13841261Mistral Medium 3.5
LMArena Text: French14481352Mistral Medium 3.5
LMArena Text: Spanish14111317Mistral Medium 3.5
LMArena Text: Russian13951291Mistral Medium 3.5
LMArena Text: Polish14301299Mistral Medium 3.5
LMArena Text: multi-turn14231307Mistral Medium 3.5
LMArena Text: longer queries14151312Mistral Medium 3.5
LMArena Text: writing and language13841290Mistral Medium 3.5
LMArena Text: entertainment and media13821258Mistral 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 30B A3B
BenchmarkMistral Medium 3.5Qwen3 30B A3BLeader
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 30B A3B$0.0004Fits in one request

Qwen3 30B A3B costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3.5$0.098Fits in one request
Qwen3 30B A3B$0.0075Exceeds the context window

Qwen3 30B A3B costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3.5$0.375Fits in one request
Qwen3 30B A3B$0.029Exceeds the context window

Qwen3 30B A3B 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 30B A3B
SpecificationMistral Medium 3.5Qwen3 30B A3B
MakerMistral AIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 30, 2026April 28, 2025
Context window262K41K
Input $/Mtok$1.50$0.12
Output $/Mtok$7.50$0.50
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 30B A3B for coding?

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Qwen3 30B A3B has none, so the two cannot be ranked on coding. Pick Qwen3 30B A3B for output tokens 15.0x cheaper ($0.50 vs $7.50 per million).

Which is cheaper, Mistral Medium 3.5 or Qwen3 30B A3B?

Mistral Medium 3.5 costs $1.50 per million input tokens and $7.50 per million output tokens; Qwen3 30B A3B costs $0.12 and $0.50. Cost per solved task is known for Mistral Medium 3.5 only.

Which has the bigger context window, Mistral Medium 3.5 or Qwen3 30B A3B?

Mistral Medium 3.5, with 262K tokens against 41K.

How many benchmarks is the Mistral Medium 3.5 vs Qwen3 30B A3B comparison based on?

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

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