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Llama 4 Maverick vs Qwen3 Next 80B A3B Instruct

Qwen3 Next 80B A3B Instruct leads Llama 4 Maverick on the Artificial Analysis Intelligence Index, 9.6 to 9.3, at about the same output price ($1.10 vs $1.00 per million). Updated October 22, 2026; 41 benchmarks have a result for both.

Llama 4 MaverickMeta Llama
Coding
No data
Overall
21.8
Output $/M
$1.00
0
Qwen3 Next 80B A3B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.10
41
vs boards won of 41 shared

Llama 4 Maverick or Qwen3 Next 80B A3B 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 1.1x cheaper ($1.00 vs $1.10 per million) and a larger context window (524K against 262K tokens).

Shared results
41
Llama 4 Maverick only
44
Qwen3 Next 80B A3B Instruct only
0
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 Next 80B A3B Instruct not benchmarked.
Widest category
Math, 44.2 points apart on average over 4 shared benchmarks.
Widest single gap
AA Math Index: Llama 4 Maverick 19.3 against Qwen3 Next 80B A3B Instruct 84.3, 65.0 points apart on a 0 to 100 scale.
Output price
Llama 4 Maverick $1.00 against Qwen3 Next 80B A3B Instruct $1.10 per million output tokens, 1.1x apart.
Context window
Llama 4 Maverick takes 524K tokens, Qwen3 Next 80B A3B 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 Next 80B A3B InstructTies
Coding04
Intelligence01
Agentic work01
Reasoning06
Math04
Knowledge05
General020
All shared boards041
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Llama 4 Maverick and Qwen3 Next 80B A3B Instruct
BenchmarkLlama 4 MaverickQwen3 Next 80B A3B 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%78.4%Qwen3 Next 80B A3B Instruct
SciCode31.7%Not measuredOnly Llama 4 Maverick measured
Terminal-Bench Hard (Artificial Analysis run)6.8%9.8%Qwen3 Next 80B A3B Instruct
WeirdML24.5%Not measuredOnly Llama 4 Maverick measured
ALE-Bench173.0Not measuredOnly Llama 4 Maverick measured
LMArena Text: coding13011440Qwen3 Next 80B A3B Instruct
LMArena Text: software and IT12991447Qwen3 Next 80B A3B Instruct
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Llama 4 Maverick and Qwen3 Next 80B A3B Instruct
BenchmarkLlama 4 MaverickQwen3 Next 80B A3B InstructLeader
AA Intelligence Index9.39.6Qwen3 Next 80B A3B 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 Next 80B A3B Instruct
BenchmarkLlama 4 MaverickQwen3 Next 80B A3B InstructLeader
AA Agentic Index0.6Not measuredOnly Llama 4 Maverick measured
τ²-Bench Telecom17.8%41.5%Qwen3 Next 80B A3B Instruct
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Llama 4 Maverick and Qwen3 Next 80B A3B Instruct
BenchmarkLlama 4 MaverickQwen3 Next 80B A3B 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%75.9%Qwen3 Next 80B A3B Instruct
Humanity's Last Exam (Artificial Analysis run)4.9%12.6%Qwen3 Next 80B A3B 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 Next 80B A3B Instruct
LMArena Text: expert12591417Qwen3 Next 80B A3B Instruct
LMArena Text: hard prompts in English12951431Qwen3 Next 80B A3B Instruct
LMArena Vision: diagrams1134Not measuredOnly Llama 4 Maverick measured
LMArena Vision: homework1164Not measuredOnly Llama 4 Maverick measured
Kagi LLM Benchmark55.9%66.7%Qwen3 Next 80B A3B Instruct
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Llama 4 Maverick and Qwen3 Next 80B A3B Instruct
BenchmarkLlama 4 MaverickQwen3 Next 80B A3B 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 Index19.384.3Qwen3 Next 80B A3B Instruct
AIME 2025 (Artificial Analysis run)19.3%84.3%Qwen3 Next 80B A3B Instruct
LMArena Text: math12991440Qwen3 Next 80B A3B Instruct
LMArena Text: mathematical work12951434Qwen3 Next 80B A3B Instruct
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Llama 4 Maverick and Qwen3 Next 80B A3B Instruct
BenchmarkLlama 4 MaverickQwen3 Next 80B A3B 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%82.4%Qwen3 Next 80B A3B Instruct
GeoBench52.0%Not measuredOnly Llama 4 Maverick measured
LMArena Text: science12881434Qwen3 Next 80B A3B Instruct
LMArena Text: medicine and healthcare12751455Qwen3 Next 80B A3B Instruct
LMArena Text: legal and government12861431Qwen3 Next 80B A3B Instruct
LMArena Text: business and finance12601422Qwen3 Next 80B A3B Instruct
Neither model has a result on the other 5 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 Next 80B A3B Instruct
BenchmarkLlama 4 MaverickQwen3 Next 80B A3B InstructLeader
Design Arena: websites871Not measuredOnly Llama 4 Maverick measured
Design Arena: UI components896Not 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 index020
General benchmarks for Llama 4 Maverick and Qwen3 Next 80B A3B Instruct
BenchmarkLlama 4 MaverickQwen3 Next 80B A3B 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%60.7%Qwen3 Next 80B A3B Instruct
Long context reasoning (AA-LCR)50.0%63.7%Qwen3 Next 80B A3B Instruct
DTBench61.9%Not measuredOnly Llama 4 Maverick measured
LMCA15.9%Not measuredOnly Llama 4 Maverick measured
Fiction.LiveBench46.2%55.6%Qwen3 Next 80B A3B Instruct
Creative writing (Lech Mazur)62.0%Not measuredOnly Llama 4 Maverick measured
LMArena Text12871417Qwen3 Next 80B A3B Instruct
LMArena Text: instruction following12671388Qwen3 Next 80B A3B Instruct
LMArena Text: creative writing12661333Qwen3 Next 80B A3B Instruct
LMArena Vision1142Not measuredOnly Llama 4 Maverick measured
LMArena Text: English13031421Qwen3 Next 80B A3B Instruct
LMArena Text: non-English12691407Qwen3 Next 80B A3B Instruct
LMArena Text: Chinese12771460Qwen3 Next 80B A3B Instruct
LMArena Text: German12911416Qwen3 Next 80B A3B Instruct
LMArena Text: Japanese12061395Qwen3 Next 80B A3B Instruct
LMArena Text: Korean12031363Qwen3 Next 80B A3B Instruct
LMArena Text: French12591414Qwen3 Next 80B A3B Instruct
LMArena Text: Spanish12931435Qwen3 Next 80B A3B Instruct
LMArena Text: Russian12861404Qwen3 Next 80B A3B Instruct
LMArena Text: Polish12751398Qwen3 Next 80B A3B Instruct
LMArena Text: multi-turn12891416Qwen3 Next 80B A3B Instruct
LMArena Text: longer queries12801402Qwen3 Next 80B A3B Instruct
LMArena Text: writing and language12771355Qwen3 Next 80B A3B Instruct
LMArena Text: entertainment and media12501349Qwen3 Next 80B A3B Instruct
LMArena Vision: English1150Not measuredOnly Llama 4 Maverick measured
LMArena Vision: Chinese1141Not measuredOnly Llama 4 Maverick measured
LMArena Vision: reading text1143Not measuredOnly Llama 4 Maverick measured
LMArena Vision: humor1100Not measuredOnly Llama 4 Maverick measured
LMArena Vision: creative writing1099Not measuredOnly Llama 4 Maverick measured
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 Next 80B A3B Instruct
BenchmarkLlama 4 MaverickQwen3 Next 80B A3B 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 Next 80B A3B Instruct$0.0006Fits in one request

Qwen3 Next 80B A3B Instruct costs less

Repository review

50K input + 3K output tokens

Llama 4 Maverick$0.021Fits in one request
Qwen3 Next 80B A3B Instruct$0.0083Fits in one request

Qwen3 Next 80B A3B Instruct costs less

Agent loop

200K input + 10K output tokens

Llama 4 Maverick$0.080Fits in one request
Qwen3 Next 80B A3B Instruct$0.031Fits in one request

Qwen3 Next 80B A3B 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 Next 80B A3B Instruct
SpecificationMeta Llama 4 MaverickQwen3 Next 80B A3B Instruct
MakerMeta LlamaQwen
WeightsOpen weightsOpen weights
ReleasedApril 5, 2025September 11, 2025
Context window524K262K
Input $/Mtok$0.35$0.10
Output $/Mtok$1.00$1.10
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 Next 80B A3B 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 1.1x cheaper ($1.00 vs $1.10 per million) and a larger context window (524K against 262K tokens).

Which is cheaper, Llama 4 Maverick or Qwen3 Next 80B A3B Instruct?

Llama 4 Maverick costs $0.35 per million input tokens and $1.00 per million output tokens; Qwen3 Next 80B A3B Instruct costs $0.10 and $1.10. Cost per solved task is known for Llama 4 Maverick only.

Which has the bigger context window, Llama 4 Maverick or Qwen3 Next 80B A3B Instruct?

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

How many benchmarks is the Llama 4 Maverick vs Qwen3 Next 80B A3B Instruct comparison based on?

41 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 Next 80B A3B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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