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Mistral Small 3 vs Qwen3.5-122B-A10B

Qwen3.5-122B-A10B leads Mistral Small 3 on the Artificial Analysis Intelligence Index, 17.7 to 6.7, and Mistral Small 3 costs 26.0x less per output token ($0.08 vs $2.08 per million). Updated October 22, 2026; 32 benchmarks have a result for both.

Replace Mistral Small 3 Replace Qwen3.5-122B-A10B
Mistral Small 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.08
0
Qwen3.5-122B-A10BQwen
Coding
No data
Overall
No data
Output $/M
$2.08
32
vs boards won of 32 shared

Mistral Small 3 or Qwen3.5-122B-A10B: which to pick

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

Pick Mistral Small 3 for output tokens 26.0x cheaper ($0.08 vs $2.08 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AMistral Small 3Mistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.5-122B-A10BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
32
Mistral Small 3 only
4
Qwen3.5-122B-A10B only
19
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 Small 3 not benchmarked, Qwen3.5-122B-A10B not benchmarked.
Widest category
Agentic work, 74.0 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): Mistral Small 3 0.0% against Qwen3.5-122B-A10B 76.3%, 76.3 points apart on a 0 to 100 scale.
Output price
Mistral Small 3 $0.08 against Qwen3.5-122B-A10B $2.08 per million output tokens, 26.0x apart.
Context window
Mistral Small 3 takes 33K tokens, Qwen3.5-122B-A10B 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 Small 3BarsQwen3.5-122B-A10BTies
Coding02
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
General017
All shared boards032
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Mistral Small 3 and Qwen3.5-122B-A10B
BenchmarkMistral Small 3Qwen3.5-122B-A10BLeader
LMArena WebDevNot measured1361Only Qwen3.5-122B-A10B measured
AA Coding IndexNot measured43.3Only Qwen3.5-122B-A10B measured
LiveCodeBench (Artificial Analysis run)25.2%Not measuredOnly Mistral Small 3 measured
SciCodeNot measured39.7%Only Qwen3.5-122B-A10B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured31.1%Only Qwen3.5-122B-A10B measured
LMArena Text: coding12461436Qwen3.5-122B-A10B
LMArena Text: software and IT12481436Qwen3.5-122B-A10B
LMArena WebDev: ReactNot measured1353Only Qwen3.5-122B-A10B measured
LMArena WebDev: HTMLNot measured1351Only Qwen3.5-122B-A10B measured
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mistral Small 3 and Qwen3.5-122B-A10B
BenchmarkMistral Small 3Qwen3.5-122B-A10BLeader
AA Intelligence Index6.717.7Qwen3.5-122B-A10B
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 Small 3 and Qwen3.5-122B-A10B
BenchmarkMistral Small 3Qwen3.5-122B-A10BLeader
τ²-Bench Telecom19.6%93.6%Qwen3.5-122B-A10B
Neither model has a result on the other 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Mistral Small 3 and Qwen3.5-122B-A10B
BenchmarkMistral Small 3Qwen3.5-122B-A10BLeader
GPQA Diamond (Artificial Analysis run)46.2%85.7%Qwen3.5-122B-A10B
Humanity's Last Exam (Artificial Analysis run)3.8%25.2%Qwen3.5-122B-A10B
Mystery game puzzlesNot measured17.0%Only Qwen3.5-122B-A10B measured
LMArena Text: hard prompts12331421Qwen3.5-122B-A10B
LMArena Text: expert12021431Qwen3.5-122B-A10B
LMArena Text: hard prompts in English12431431Qwen3.5-122B-A10B
LMArena Vision: diagramsNot measured1249Only Qwen3.5-122B-A10B measured
LMArena Vision: homeworkNot measured1261Only Qwen3.5-122B-A10B measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Mistral Small 3 and Qwen3.5-122B-A10B
BenchmarkMistral Small 3Qwen3.5-122B-A10BLeader
AA Math Index4.3Not measuredOnly Mistral Small 3 measured
AIME 2025 (Artificial Analysis run)4.3%Not measuredOnly Mistral Small 3 measured
LMArena Text: math12401431Qwen3.5-122B-A10B
LMArena Text: mathematical work12431431Qwen3.5-122B-A10B
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Mistral Small 3 and Qwen3.5-122B-A10B
BenchmarkMistral Small 3Qwen3.5-122B-A10BLeader
MMLU Pro (Artificial Analysis run)65.2%Not measuredOnly Mistral Small 3 measured
LMArena Text: science12351432Qwen3.5-122B-A10B
LMArena Text: medicine and healthcare12151423Qwen3.5-122B-A10B
LMArena Text: legal and government12191422Qwen3.5-122B-A10B
LMArena Text: business and finance12051414Qwen3.5-122B-A10B
Neither model has a result on the other 15 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Mistral Small 3 and Qwen3.5-122B-A10B
BenchmarkMistral Small 3Qwen3.5-122B-A10BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
General benchmarks for Mistral Small 3 and Qwen3.5-122B-A10B
BenchmarkMistral Small 3Qwen3.5-122B-A10BLeader
IFBench26.4%75.7%Qwen3.5-122B-A10B
Long context reasoning (AA-LCR)0.0%76.3%Qwen3.5-122B-A10B
DTBenchNot measured84.3%Only Qwen3.5-122B-A10B measured
LMCANot measured32.2%Only Qwen3.5-122B-A10B measured
LMArena Text12341417Qwen3.5-122B-A10B
LMArena Text: instruction following12141399Qwen3.5-122B-A10B
LMArena Text: creative writing11941368Qwen3.5-122B-A10B
LMArena VisionNot measured1244Only Qwen3.5-122B-A10B measured
LMArena Text: English12561428Qwen3.5-122B-A10B
LMArena Text: non-English11981401Qwen3.5-122B-A10B
LMArena Text: Chinese12041463Qwen3.5-122B-A10B
LMArena Text: German12111425Qwen3.5-122B-A10B
LMArena Text: Japanese11111367Qwen3.5-122B-A10B
LMArena Text: Korean11881353Qwen3.5-122B-A10B
LMArena Text: French12041443Qwen3.5-122B-A10B
LMArena Text: SpanishNot measured1425Only Qwen3.5-122B-A10B measured
LMArena Text: Russian12161400Qwen3.5-122B-A10B
LMArena Text: PolishNot measured1398Only Qwen3.5-122B-A10B measured
LMArena Text: multi-turn12171416Qwen3.5-122B-A10B
LMArena Text: longer queries12461410Qwen3.5-122B-A10B
LMArena Text: writing and language12141387Qwen3.5-122B-A10B
LMArena Text: entertainment and media11841366Qwen3.5-122B-A10B
LMArena Vision: EnglishNot measured1249Only Qwen3.5-122B-A10B measured
LMArena Vision: ChineseNot measured1301Only Qwen3.5-122B-A10B measured
LMArena Vision: reading textNot measured1251Only Qwen3.5-122B-A10B measured
LMArena Vision: humorNot measured1243Only Qwen3.5-122B-A10B measured
LMArena Vision: creative writingNot measured1220Only Qwen3.5-122B-A10B measured
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mistral Small 3 and Qwen3.5-122B-A10B
BenchmarkMistral Small 3Qwen3.5-122B-A10BLeader
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 Small 3$0.0001Fits in one request
Qwen3.5-122B-A10B$0.0013Fits in one request

Mistral Small 3 costs less

Repository review

50K input + 3K output tokens

Mistral Small 3$0.0027Exceeds the context window
Qwen3.5-122B-A10B$0.019Fits in one request

Mistral Small 3 costs less

Agent loop

200K input + 10K output tokens

Mistral Small 3$0.011Exceeds the context window
Qwen3.5-122B-A10B$0.073Fits in one request

Mistral Small 3 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 Small 3 and Qwen3.5-122B-A10B
SpecificationMistral Small 3Qwen3.5-122B-A10B
MakerMistral AIQwen
WeightsOpen weightsOpen weights
ReleasedJanuary 30, 2025February 25, 2026
Context window33K262K
Input $/Mtok$0.05$0.26
Output $/Mtok$0.08$2.08
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Small 3 better than Qwen3.5-122B-A10B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Small 3 for output tokens 26.0x cheaper ($0.08 vs $2.08 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Mistral Small 3 or Qwen3.5-122B-A10B?

Mistral Small 3 costs $0.05 per million input tokens and $0.08 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Small 3 or Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B, with 262K tokens against 33K.

How many benchmarks is the Mistral Small 3 vs Qwen3.5-122B-A10B comparison based on?

32 benchmarks have a result for both models as of October 22, 2026. Mistral Small 3's coding index rests on 0 independent benchmarks and Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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