Enter opens the highlighted result. Esc closes.

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

Qwen3.5-122B-A10B leads Mistral Medium 3 on the Artificial Analysis Intelligence Index, 17.7 to 9.0, at about the same output price ($2.08 vs $2.00 per million). Updated October 22, 2026; 44 benchmarks have a result for both.

Replace Mistral Medium 3 Replace Qwen3.5-122B-A10B
Mistral Medium 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
0
Qwen3.5-122B-A10BQwen
Coding
No data
Overall
No data
Output $/M
$2.08
44
vs boards won of 44 shared

Mistral Medium 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 Medium 3 for output tokens 1.0x cheaper ($2.00 vs $2.08 per million) and work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model AMistral Medium 3Mistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.5-122B-A10BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
44
Mistral Medium 3 only
13
Qwen3.5-122B-A10B only
7
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 not benchmarked, Qwen3.5-122B-A10B not benchmarked.
Widest category
Agentic work, 69.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Mistral Medium 3 24.3% against Qwen3.5-122B-A10B 93.6%, 69.3 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3 $2.00 against Qwen3.5-122B-A10B $2.08 per million output tokens, 1.0x apart.
Context window
Mistral Medium 3 takes 131K 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 Medium 3BarsQwen3.5-122B-A10BTies
Coding03
Intelligence01
Agentic work01
Reasoning07
Math02
Knowledge04
General026
All shared boards044
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Mistral Medium 3 and Qwen3.5-122B-A10B
BenchmarkMistral Medium 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)40.0%Not measuredOnly Mistral Medium 3 measured
SciCodeNot measured39.7%Only Qwen3.5-122B-A10B measured
Terminal-Bench Hard (Artificial Analysis run)3.8%31.1%Qwen3.5-122B-A10B
LMArena Text: coding13851436Qwen3.5-122B-A10B
LMArena Text: software and IT13851436Qwen3.5-122B-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 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mistral Medium 3 and Qwen3.5-122B-A10B
BenchmarkMistral Medium 3Qwen3.5-122B-A10BLeader
AA Intelligence Index9.017.7Qwen3.5-122B-A10B
Epoch Capabilities Index134.0Not measuredOnly Mistral Medium 3 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Mistral Medium 3 and Qwen3.5-122B-A10B
BenchmarkMistral Medium 3Qwen3.5-122B-A10BLeader
τ²-Bench Telecom24.3%93.6%Qwen3.5-122B-A10B
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Mistral Medium 3 and Qwen3.5-122B-A10B
BenchmarkMistral Medium 3Qwen3.5-122B-A10BLeader
GPQA Diamond (Artificial Analysis run)57.8%85.7%Qwen3.5-122B-A10B
Humanity's Last Exam (Artificial Analysis run)4.1%25.2%Qwen3.5-122B-A10B
Mystery game puzzlesNot measured17.0%Only Qwen3.5-122B-A10B measured
LMArena Text: hard prompts13641421Qwen3.5-122B-A10B
LMArena Text: expert13421431Qwen3.5-122B-A10B
LMArena Text: hard prompts in English13741431Qwen3.5-122B-A10B
LMArena Vision: diagrams11551249Qwen3.5-122B-A10B
LMArena Vision: homework11651261Qwen3.5-122B-A10B
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Mistral Medium 3 and Qwen3.5-122B-A10B
BenchmarkMistral Medium 3Qwen3.5-122B-A10BLeader
AA Math Index30.3Not measuredOnly Mistral Medium 3 measured
AIME 2025 (Artificial Analysis run)30.3%Not measuredOnly Mistral Medium 3 measured
LMArena Text: math13531431Qwen3.5-122B-A10B
LMArena Text: mathematical work13541431Qwen3.5-122B-A10B
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Mistral Medium 3 and Qwen3.5-122B-A10B
BenchmarkMistral Medium 3Qwen3.5-122B-A10BLeader
MMLU Pro (Artificial Analysis run)76.0%Not measuredOnly Mistral Medium 3 measured
LMArena Text: science13811432Qwen3.5-122B-A10B
LMArena Text: medicine and healthcare13811423Qwen3.5-122B-A10B
LMArena Text: legal and government13841422Qwen3.5-122B-A10B
LMArena Text: business and finance13521414Qwen3.5-122B-A10B
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Mistral Medium 3 and Qwen3.5-122B-A10B
BenchmarkMistral Medium 3Qwen3.5-122B-A10BLeader
Design Arena: websites1079Not measuredOnly Mistral Medium 3 measured
Design Arena: UI components1022Not measuredOnly Mistral Medium 3 measured
Design Arena: game dev1017Not measuredOnly Mistral Medium 3 measured
Design Arena: data viz1034Not measuredOnly Mistral Medium 3 measured
Design Arena: 3D1083Not measuredOnly Mistral Medium 3 measured
Design Arena: all code categories1068Not measuredOnly Mistral Medium 3 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index026
General benchmarks for Mistral Medium 3 and Qwen3.5-122B-A10B
BenchmarkMistral Medium 3Qwen3.5-122B-A10BLeader
IFBench39.3%75.7%Qwen3.5-122B-A10B
Long context reasoning (AA-LCR)31.3%76.3%Qwen3.5-122B-A10B
DTBench62.3%84.3%Qwen3.5-122B-A10B
LMCANot measured32.2%Only Qwen3.5-122B-A10B measured
LMArena Text13701417Qwen3.5-122B-A10B
LMArena Text: instruction following13381399Qwen3.5-122B-A10B
LMArena Text: creative writing13431368Qwen3.5-122B-A10B
LMArena Vision11571244Qwen3.5-122B-A10B
LMArena Text: English13851428Qwen3.5-122B-A10B
LMArena Text: non-English13531401Qwen3.5-122B-A10B
LMArena Text: Chinese13741463Qwen3.5-122B-A10B
LMArena Text: German13771425Qwen3.5-122B-A10B
LMArena Text: Japanese13161367Qwen3.5-122B-A10B
LMArena Text: Korean13041353Qwen3.5-122B-A10B
LMArena Text: French13681443Qwen3.5-122B-A10B
LMArena Text: Spanish13641425Qwen3.5-122B-A10B
LMArena Text: Russian13591400Qwen3.5-122B-A10B
LMArena Text: Polish13711398Qwen3.5-122B-A10B
LMArena Text: multi-turn13841416Qwen3.5-122B-A10B
LMArena Text: longer queries13601410Qwen3.5-122B-A10B
LMArena Text: writing and language13521387Qwen3.5-122B-A10B
LMArena Text: entertainment and media13351366Qwen3.5-122B-A10B
LMArena Vision: English11721249Qwen3.5-122B-A10B
LMArena Vision: Chinese11611301Qwen3.5-122B-A10B
LMArena Vision: reading text11541251Qwen3.5-122B-A10B
LMArena Vision: humor11451243Qwen3.5-122B-A10B
LMArena Vision: captioning1094Not measuredOnly Mistral Medium 3 measured
LMArena Vision: recognizing things1141Not measuredOnly Mistral Medium 3 measured
LMArena Vision: creative writing11461220Qwen3.5-122B-A10B
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 and Qwen3.5-122B-A10B
BenchmarkMistral Medium 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 Medium 3$0.0014Fits in one request
Qwen3.5-122B-A10B$0.0013Fits in one request

Qwen3.5-122B-A10B costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3$0.026Fits in one request
Qwen3.5-122B-A10B$0.019Fits in one request

Qwen3.5-122B-A10B costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3$0.100Exceeds the context window
Qwen3.5-122B-A10B$0.073Fits in one request

Qwen3.5-122B-A10B 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 and Qwen3.5-122B-A10B
SpecificationMistral Medium 3Qwen3.5-122B-A10B
MakerMistral AIQwen
WeightsNo public weights listedOpen weights
ReleasedMay 7, 2025February 25, 2026
Context window131K262K
Input $/Mtok$0.40$0.26
Output $/Mtok$2.00$2.08
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Medium 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 Medium 3 for output tokens 1.0x cheaper ($2.00 vs $2.08 per million) and work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

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

Mistral Medium 3 costs $0.40 per million input tokens and $2.00 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 Medium 3 or Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B, with 262K tokens against 131K.

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

44 benchmarks have a result for both models as of October 22, 2026. Mistral Medium 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.

Compare next