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Llama 4 Maverick vs Qwen3.5-122B-A10B

Qwen3.5-122B-A10B leads Llama 4 Maverick on the Artificial Analysis Intelligence Index, 17.7 to 9.3, and Llama 4 Maverick costs 2.1x less per output token ($1.00 vs $2.08 per million). Updated October 22, 2026; 47 benchmarks have a result for both.

Llama 4 MaverickMeta Llama
Coding
No data
Overall
21.8
Output $/M
$1.00
0
Qwen3.5-122B-A10BQwen
Coding
No data
Overall
No data
Output $/M
$2.08
47
vs boards won of 47 shared

Llama 4 Maverick or Qwen3.5-122B-A10B: which to pick

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

Pick Llama 4 Maverick for output tokens 2.1x cheaper ($1.00 vs $2.08 per million) and a larger context window (524K against 262K tokens).

Shared results
47
Llama 4 Maverick only
38
Qwen3.5-122B-A10B only
4
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
Llama 4 Maverick not benchmarked, Qwen3.5-122B-A10B not benchmarked.
Widest category
Agentic work, 75.7 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Llama 4 Maverick 17.8% against Qwen3.5-122B-A10B 93.6%, 75.7 points apart on a 0 to 100 scale.
Output price
Llama 4 Maverick $1.00 against Qwen3.5-122B-A10B $2.08 per million output tokens, 2.1x apart.
Context window
Llama 4 Maverick takes 524K 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
CategoryLlama 4 MaverickBarsQwen3.5-122B-A10BTies
Coding05
Intelligence01
Agentic work01
Reasoning07
Math02
Knowledge04
General027
All shared boards047
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for Llama 4 Maverick and Qwen3.5-122B-A10B
BenchmarkLlama 4 MaverickQwen3.5-122B-A10BLeader
Aider polyglot15.6%Not measuredOnly Llama 4 Maverick measured
SWE-bench Verified21.0%Not measuredOnly Llama 4 Maverick measured
LMArena WebDevNot measured1361Only Qwen3.5-122B-A10B measured
AA Coding Index16.343.3Qwen3.5-122B-A10B
LiveCodeBench (Vals AI)47.3%Not measuredOnly Llama 4 Maverick measured
LiveCodeBench (Artificial Analysis run)39.7%Not measuredOnly Llama 4 Maverick measured
SciCode31.7%39.7%Qwen3.5-122B-A10B
Terminal-Bench Hard (Artificial Analysis run)6.8%31.1%Qwen3.5-122B-A10B
WeirdML24.5%Not measuredOnly Llama 4 Maverick measured
ALE-Bench173.0Not measuredOnly Llama 4 Maverick measured
LMArena Text: coding13011436Qwen3.5-122B-A10B
LMArena Text: software and IT12991436Qwen3.5-122B-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 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Llama 4 Maverick and Qwen3.5-122B-A10B
BenchmarkLlama 4 MaverickQwen3.5-122B-A10BLeader
AA Intelligence Index9.317.7Qwen3.5-122B-A10B
Epoch Capabilities Index132.2Not measuredOnly Llama 4 Maverick measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Llama 4 Maverick and Qwen3.5-122B-A10B
BenchmarkLlama 4 MaverickQwen3.5-122B-A10BLeader
AA Agentic Index0.6Not measuredOnly Llama 4 Maverick measured
τ²-Bench Telecom17.8%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 Llama 4 Maverick and Qwen3.5-122B-A10B
BenchmarkLlama 4 MaverickQwen3.5-122B-A10BLeader
GPQA Diamond69.4%Not measuredOnly Llama 4 Maverick measured
MMMU Pro (Vals AI)71.7%Not measuredOnly Llama 4 Maverick measured
GPQA Diamond (Artificial Analysis run)67.1%85.7%Qwen3.5-122B-A10B
Humanity's Last Exam (Artificial Analysis run)4.9%25.2%Qwen3.5-122B-A10B
ARC-AGI4.4%Not measuredOnly Llama 4 Maverick measured
ARC-AGI-20.0%Not measuredOnly Llama 4 Maverick measured
SimpleBench27.7%Not measuredOnly Llama 4 Maverick measured
Mystery game puzzlesNot measured17.0%Only Qwen3.5-122B-A10B measured
LMArena Text: hard prompts12811421Qwen3.5-122B-A10B
LMArena Text: expert12591431Qwen3.5-122B-A10B
LMArena Text: hard prompts in English12951431Qwen3.5-122B-A10B
LMArena Vision: diagrams11341249Qwen3.5-122B-A10B
LMArena Vision: homework11641261Qwen3.5-122B-A10B
Kagi LLM Benchmark55.9%Not measuredOnly Llama 4 Maverick measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Llama 4 Maverick and Qwen3.5-122B-A10B
BenchmarkLlama 4 MaverickQwen3.5-122B-A10BLeader
AIME25.2%Not measuredOnly Llama 4 Maverick measured
MATH 500 (Vals AI)85.2%Not measuredOnly Llama 4 Maverick measured
MGSM (Vals AI)92.4%Not measuredOnly Llama 4 Maverick measured
AA Math Index19.3Not measuredOnly Llama 4 Maverick measured
AIME 2025 (Artificial Analysis run)19.3%Not measuredOnly Llama 4 Maverick measured
LMArena Text: math12991431Qwen3.5-122B-A10B
LMArena Text: mathematical work12951431Qwen3.5-122B-A10B
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Llama 4 Maverick and Qwen3.5-122B-A10B
BenchmarkLlama 4 MaverickQwen3.5-122B-A10BLeader
MMLU Pro79.4%Not measuredOnly Llama 4 Maverick measured
LegalBench (Vals AI)77.8%Not measuredOnly Llama 4 Maverick measured
CorpFin (Vals AI)49.7%Not measuredOnly Llama 4 Maverick measured
TaxEval (Vals AI)66.6%Not measuredOnly Llama 4 Maverick measured
MortgageTax (Vals AI)58.5%Not measuredOnly Llama 4 Maverick measured
MedQA (Vals AI)43.3%Not measuredOnly Llama 4 Maverick measured
MedCode (Vals AI)36.5%Not measuredOnly Llama 4 Maverick measured
MMLU Pro (Artificial Analysis run)80.9%Not measuredOnly Llama 4 Maverick measured
GeoBench52.0%Not measuredOnly Llama 4 Maverick measured
LMArena Text: science12881432Qwen3.5-122B-A10B
LMArena Text: medicine and healthcare12751423Qwen3.5-122B-A10B
LMArena Text: legal and government12861422Qwen3.5-122B-A10B
LMArena Text: business and finance12601414Qwen3.5-122B-A10B
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Llama 4 Maverick and Qwen3.5-122B-A10B
BenchmarkLlama 4 MaverickQwen3.5-122B-A10BLeader
Design Arena: websites871Not measuredOnly Llama 4 Maverick measured
Design Arena: UI components897Not measuredOnly Llama 4 Maverick measured
Design Arena: game dev837Not measuredOnly Llama 4 Maverick measured
Design Arena: data viz882Not measuredOnly Llama 4 Maverick measured
Design Arena: 3D900Not measuredOnly Llama 4 Maverick measured
Design Arena: all code categories879Not measuredOnly Llama 4 Maverick measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index027
General benchmarks for Llama 4 Maverick and Qwen3.5-122B-A10B
BenchmarkLlama 4 MaverickQwen3.5-122B-A10BLeader
SAGE (Vals AI)35.7%Not measuredOnly Llama 4 Maverick measured
MedScribe (Vals AI)54.2%Not measuredOnly Llama 4 Maverick measured
IFBench43.0%75.7%Qwen3.5-122B-A10B
Long context reasoning (AA-LCR)50.0%76.3%Qwen3.5-122B-A10B
DTBench61.9%84.3%Qwen3.5-122B-A10B
LMCA15.9%32.2%Qwen3.5-122B-A10B
Fiction.LiveBench46.2%Not measuredOnly Llama 4 Maverick measured
Creative writing (Lech Mazur)62.0%Not measuredOnly Llama 4 Maverick measured
LMArena Text12871417Qwen3.5-122B-A10B
LMArena Text: instruction following12671399Qwen3.5-122B-A10B
LMArena Text: creative writing12661368Qwen3.5-122B-A10B
LMArena Vision11421244Qwen3.5-122B-A10B
LMArena Text: English13031428Qwen3.5-122B-A10B
LMArena Text: non-English12691401Qwen3.5-122B-A10B
LMArena Text: Chinese12771463Qwen3.5-122B-A10B
LMArena Text: German12911425Qwen3.5-122B-A10B
LMArena Text: Japanese12061367Qwen3.5-122B-A10B
LMArena Text: Korean12031353Qwen3.5-122B-A10B
LMArena Text: French12591443Qwen3.5-122B-A10B
LMArena Text: Spanish12931425Qwen3.5-122B-A10B
LMArena Text: Russian12861400Qwen3.5-122B-A10B
LMArena Text: Polish12751398Qwen3.5-122B-A10B
LMArena Text: multi-turn12891416Qwen3.5-122B-A10B
LMArena Text: longer queries12801410Qwen3.5-122B-A10B
LMArena Text: writing and language12771387Qwen3.5-122B-A10B
LMArena Text: entertainment and media12501366Qwen3.5-122B-A10B
LMArena Vision: English11501249Qwen3.5-122B-A10B
LMArena Vision: Chinese11411301Qwen3.5-122B-A10B
LMArena Vision: reading text11431251Qwen3.5-122B-A10B
LMArena Vision: humor11001243Qwen3.5-122B-A10B
LMArena Vision: creative writing10991220Qwen3.5-122B-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 Llama 4 Maverick and Qwen3.5-122B-A10B
BenchmarkLlama 4 MaverickQwen3.5-122B-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

Llama 4 Maverick$0.0008Fits in one request
Qwen3.5-122B-A10B$0.0013Fits in one request

Llama 4 Maverick costs less

Repository review

50K input + 3K output tokens

Llama 4 Maverick$0.021Fits 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

Llama 4 Maverick$0.080Fits in one request
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 Llama 4 Maverick and Qwen3.5-122B-A10B
SpecificationMeta Llama 4 MaverickQwen3.5-122B-A10B
MakerMeta LlamaQwen
WeightsOpen weightsOpen weights
ReleasedApril 5, 2025February 25, 2026
Context window524K262K
Input $/Mtok$0.35$0.26
Output $/Mtok$1.00$2.08
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved task$1.491Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Llama 4 Maverick better than Qwen3.5-122B-A10B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Llama 4 Maverick for output tokens 2.1x cheaper ($1.00 vs $2.08 per million) and a larger context window (524K against 262K tokens).

Which is cheaper, Llama 4 Maverick or Qwen3.5-122B-A10B?

Llama 4 Maverick costs $0.35 per million input tokens and $1.00 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for Llama 4 Maverick only.

Which has the bigger context window, Llama 4 Maverick or Qwen3.5-122B-A10B?

Llama 4 Maverick, with 524K tokens against 262K.

How many benchmarks is the Llama 4 Maverick vs Qwen3.5-122B-A10B comparison based on?

47 benchmarks have a result for both models as of October 22, 2026. Llama 4 Maverick'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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