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Llama 4 Maverick vs Qwen3 VL 235B A22B Instruct

Qwen3 VL 235B A22B Instruct leads Llama 4 Maverick on the Artificial Analysis Intelligence Index, 9.9 to 9.3, and Llama 4 Maverick costs 1.9x less per output token ($1.00 vs $1.90 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 VL 235B A22B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.90
47
vs boards won of 47 shared

Llama 4 Maverick or Qwen3 VL 235B A22B Instruct: 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 1.9x cheaper ($1.00 vs $1.90 per million) and a larger context window (524K against 262K tokens).

Shared results
47
Llama 4 Maverick only
38
Qwen3 VL 235B A22B Instruct only
2
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 VL 235B A22B Instruct not benchmarked.
Widest category
Math, 44.9 points apart on average over 4 shared benchmarks.
Widest single gap
AA Math Index: Llama 4 Maverick 19.3 against Qwen3 VL 235B A22B Instruct 88.3, 69.0 points apart on a 0 to 100 scale.
Output price
Llama 4 Maverick $1.00 against Qwen3 VL 235B A22B Instruct $1.90 per million output tokens, 1.9x apart.
Context window
Llama 4 Maverick takes 524K tokens, Qwen3 VL 235B A22B Instruct 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 VL 235B A22B InstructTies
Coding04
Intelligence01
Agentic work01
Reasoning07
Math04
Knowledge05
General025
All shared boards047
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Llama 4 Maverick and Qwen3 VL 235B A22B Instruct
BenchmarkLlama 4 MaverickQwen3 VL 235B A22B InstructLeader
Aider polyglot15.6%Not measuredOnly Llama 4 Maverick measured
SWE-bench Verified21.0%Not measuredOnly Llama 4 Maverick measured
AA Coding Index16.3Not measuredOnly Llama 4 Maverick measured
LiveCodeBench (Vals AI)47.3%Not measuredOnly Llama 4 Maverick measured
LiveCodeBench (Artificial Analysis run)39.7%64.6%Qwen3 VL 235B A22B Instruct
SciCode31.7%Not measuredOnly Llama 4 Maverick measured
Terminal-Bench Hard (Artificial Analysis run)6.8%11.4%Qwen3 VL 235B A22B Instruct
WeirdML24.5%Not measuredOnly Llama 4 Maverick measured
ALE-Bench173.0Not measuredOnly Llama 4 Maverick measured
LMArena Text: coding13011438Qwen3 VL 235B A22B Instruct
LMArena Text: software and IT12991442Qwen3 VL 235B A22B Instruct
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Llama 4 Maverick and Qwen3 VL 235B A22B Instruct
BenchmarkLlama 4 MaverickQwen3 VL 235B A22B InstructLeader
AA Intelligence Index9.39.9Qwen3 VL 235B A22B Instruct
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 VL 235B A22B Instruct
BenchmarkLlama 4 MaverickQwen3 VL 235B A22B InstructLeader
AA Agentic Index0.6Not measuredOnly Llama 4 Maverick measured
τ²-Bench Telecom17.8%54.1%Qwen3 VL 235B A22B Instruct
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 VL 235B A22B Instruct
BenchmarkLlama 4 MaverickQwen3 VL 235B A22B InstructLeader
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%77.2%Qwen3 VL 235B A22B Instruct
Humanity's Last Exam (Artificial Analysis run)4.9%11.9%Qwen3 VL 235B A22B Instruct
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
LMArena Text: hard prompts12811428Qwen3 VL 235B A22B Instruct
LMArena Text: expert12591442Qwen3 VL 235B A22B Instruct
LMArena Text: hard prompts in English12951439Qwen3 VL 235B A22B Instruct
LMArena Vision: diagrams11341255Qwen3 VL 235B A22B Instruct
LMArena Vision: homework11641277Qwen3 VL 235B A22B Instruct
Kagi LLM Benchmark55.9%Not measuredOnly Llama 4 Maverick measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Llama 4 Maverick and Qwen3 VL 235B A22B Instruct
BenchmarkLlama 4 MaverickQwen3 VL 235B A22B InstructLeader
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 Index19.388.3Qwen3 VL 235B A22B Instruct
AIME 2025 (Artificial Analysis run)19.3%88.3%Qwen3 VL 235B A22B Instruct
LMArena Text: math12991425Qwen3 VL 235B A22B Instruct
LMArena Text: mathematical work12951419Qwen3 VL 235B A22B Instruct
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Llama 4 Maverick and Qwen3 VL 235B A22B Instruct
BenchmarkLlama 4 MaverickQwen3 VL 235B A22B InstructLeader
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%83.6%Qwen3 VL 235B A22B Instruct
GeoBench52.0%Not measuredOnly Llama 4 Maverick measured
LMArena Text: science12881444Qwen3 VL 235B A22B Instruct
LMArena Text: medicine and healthcare12751431Qwen3 VL 235B A22B Instruct
LMArena Text: legal and government12861438Qwen3 VL 235B A22B Instruct
LMArena Text: business and finance12601433Qwen3 VL 235B A22B Instruct
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 VL 235B A22B Instruct
BenchmarkLlama 4 MaverickQwen3 VL 235B A22B InstructLeader
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 index025
General benchmarks for Llama 4 Maverick and Qwen3 VL 235B A22B Instruct
BenchmarkLlama 4 MaverickQwen3 VL 235B A22B InstructLeader
SAGE (Vals AI)35.7%Not measuredOnly Llama 4 Maverick measured
MedScribe (Vals AI)54.2%Not measuredOnly Llama 4 Maverick measured
IFBench43.0%56.5%Qwen3 VL 235B A22B Instruct
Long context reasoning (AA-LCR)50.0%63.7%Qwen3 VL 235B A22B Instruct
DTBench61.9%Not measuredOnly Llama 4 Maverick measured
LMCA15.9%Not measuredOnly Llama 4 Maverick measured
Fiction.LiveBench46.2%Not measuredOnly Llama 4 Maverick measured
Creative writing (Lech Mazur)62.0%Not measuredOnly Llama 4 Maverick measured
LMArena Text12871420Qwen3 VL 235B A22B Instruct
LMArena Text: instruction following12671406Qwen3 VL 235B A22B Instruct
LMArena Text: creative writing12661366Qwen3 VL 235B A22B Instruct
LMArena Vision11421247Qwen3 VL 235B A22B Instruct
LMArena Text: English13031429Qwen3 VL 235B A22B Instruct
LMArena Text: non-English12691405Qwen3 VL 235B A22B Instruct
LMArena Text: Chinese12771463Qwen3 VL 235B A22B Instruct
LMArena Text: German12911424Qwen3 VL 235B A22B Instruct
LMArena Text: Japanese12061385Qwen3 VL 235B A22B Instruct
LMArena Text: Korean12031394Qwen3 VL 235B A22B Instruct
LMArena Text: French12591452Qwen3 VL 235B A22B Instruct
LMArena Text: Spanish12931428Qwen3 VL 235B A22B Instruct
LMArena Text: Russian12861408Qwen3 VL 235B A22B Instruct
LMArena Text: Polish12751419Qwen3 VL 235B A22B Instruct
LMArena Text: multi-turn12891428Qwen3 VL 235B A22B Instruct
LMArena Text: longer queries12801419Qwen3 VL 235B A22B Instruct
LMArena Text: writing and language12771392Qwen3 VL 235B A22B Instruct
LMArena Text: entertainment and media12501368Qwen3 VL 235B A22B Instruct
LMArena Vision: English11501256Qwen3 VL 235B A22B Instruct
LMArena Vision: Chinese11411283Qwen3 VL 235B A22B Instruct
LMArena Vision: reading text11431253Qwen3 VL 235B A22B Instruct
LMArena Vision: humor11001209Qwen3 VL 235B A22B Instruct
LMArena Vision: captioningNot measured1281Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: recognizing thingsNot measured1249Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: creative writing10991220Qwen3 VL 235B A22B Instruct
Neither model has a result on the other 15 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 VL 235B A22B Instruct
BenchmarkLlama 4 MaverickQwen3 VL 235B A22B InstructLeader
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 VL 235B A22B Instruct$0.0012Fits in one request

Llama 4 Maverick costs less

Repository review

50K input + 3K output tokens

Llama 4 Maverick$0.021Fits in one request
Qwen3 VL 235B A22B Instruct$0.016Fits in one request

Qwen3 VL 235B A22B Instruct costs less

Agent loop

200K input + 10K output tokens

Llama 4 Maverick$0.080Fits in one request
Qwen3 VL 235B A22B Instruct$0.061Fits in one request

Qwen3 VL 235B A22B Instruct 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 VL 235B A22B Instruct
SpecificationMeta Llama 4 MaverickQwen3 VL 235B A22B Instruct
MakerMeta LlamaQwen
WeightsOpen weightsOpen weights
ReleasedApril 5, 2025September 23, 2025
Context window524K262K
Input $/Mtok$0.35$0.21
Output $/Mtok$1.00$1.90
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$1.491Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Llama 4 Maverick better than Qwen3 VL 235B A22B Instruct for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Llama 4 Maverick for output tokens 1.9x cheaper ($1.00 vs $1.90 per million) and a larger context window (524K against 262K tokens).

Which is cheaper, Llama 4 Maverick or Qwen3 VL 235B A22B Instruct?

Llama 4 Maverick costs $0.35 per million input tokens and $1.00 per million output tokens; Qwen3 VL 235B A22B Instruct costs $0.21 and $1.90. Cost per solved task is known for Llama 4 Maverick only.

Which has the bigger context window, Llama 4 Maverick or Qwen3 VL 235B A22B Instruct?

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

How many benchmarks is the Llama 4 Maverick vs Qwen3 VL 235B A22B Instruct 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 VL 235B A22B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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