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Llama 4 Scout vs Qwen3 Coder 480B A35B

Qwen3 Coder 480B A35B leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 11.9 to 6.5, and Llama 4 Scout costs 3.0x less per output token ($0.50 vs $1.50 per million). Updated October 22, 2026; 46 benchmarks have a result for both.

Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
0
Qwen3 Coder 480B A35BQwen
Coding
No data
Overall
No data
Output $/M
$1.50
46
vs boards won of 46 shared

Llama 4 Scout or Qwen3 Coder 480B A35B: which to pick

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

Pick Llama 4 Scout for output tokens 3.0x cheaper ($0.50 vs $1.50 per million) and a larger context window (1.31M against 262K tokens).

Shared results
46
Llama 4 Scout only
36
Qwen3 Coder 480B A35B only
7
Like-for-like categories
8 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 Scout not benchmarked, Qwen3 Coder 480B A35B not benchmarked.
Widest category
Web design, 40.5 points apart on average over 5 shared benchmarks.
Widest single gap
SWE-bench Verified: Llama 4 Scout 9.1% against Qwen3 Coder 480B A35B 69.6%, 60.5 points apart on a 0 to 100 scale.
Output price
Llama 4 Scout $0.50 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 3.0x apart.
Context window
Llama 4 Scout takes 1.31M tokens, Qwen3 Coder 480B A35B 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 ScoutBarsQwen3 Coder 480B A35BTies
Coding05
Intelligence01
Agentic work01
Reasoning06
Math04
Knowledge05
Web design05
General019
All shared boards046
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for Llama 4 Scout and Qwen3 Coder 480B A35B
BenchmarkLlama 4 ScoutQwen3 Coder 480B A35BLeader
SWE-bench Verified9.1%69.6%Qwen3 Coder 480B A35B
LMArena WebDevNot measured1275Only Qwen3 Coder 480B A35B measured
AA Coding Index8.2Not measuredOnly Llama 4 Scout measured
LiveCodeBench (Vals AI)38.5%Not measuredOnly Llama 4 Scout measured
LiveCodeBench (Artificial Analysis run)29.9%58.5%Qwen3 Coder 480B A35B
SciCode21.3%Not measuredOnly Llama 4 Scout measured
Terminal-Bench Hard (Artificial Analysis run)1.5%18.9%Qwen3 Coder 480B A35B
Terminal-BenchNot measured27.2%Only Qwen3 Coder 480B A35B measured
GSO-BenchNot measured4.9%Only Qwen3 Coder 480B A35B measured
WeirdMLNot measured41.2%Only Qwen3 Coder 480B A35B measured
ALE-BenchNot measured461.4Only Qwen3 Coder 480B A35B measured
LMArena Text: coding12861412Qwen3 Coder 480B A35B
LMArena Text: software and IT12861393Qwen3 Coder 480B A35B
LMArena WebDev: ReactNot measured1257Only Qwen3 Coder 480B A35B measured
LMArena WebDev: HTMLNot measured1287Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Llama 4 Scout and Qwen3 Coder 480B A35B
BenchmarkLlama 4 ScoutQwen3 Coder 480B A35BLeader
AA Intelligence Index6.511.9Qwen3 Coder 480B A35B
Epoch Capabilities Index129.6Not measuredOnly Llama 4 Scout measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Llama 4 Scout and Qwen3 Coder 480B A35B
BenchmarkLlama 4 ScoutQwen3 Coder 480B A35BLeader
AA Agentic Index0.5Not measuredOnly Llama 4 Scout measured
τ²-Bench Telecom15.5%43.6%Qwen3 Coder 480B A35B
Berkeley Function Calling Leaderboard (BFCL)28.1%Not measuredOnly Llama 4 Scout measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Llama 4 Scout and Qwen3 Coder 480B A35B
BenchmarkLlama 4 ScoutQwen3 Coder 480B A35BLeader
GPQA Diamond47.0%Not measuredOnly Llama 4 Scout measured
MMMU Pro (Vals AI)58.8%Not measuredOnly Llama 4 Scout measured
GPQA Diamond (Artificial Analysis run)58.7%61.8%Qwen3 Coder 480B A35B
Humanity's Last Exam (Artificial Analysis run)3.8%4.5%Qwen3 Coder 480B A35B
GPQA Diamond (Epoch AI run)51.8%Not measuredOnly Llama 4 Scout measured
ARC-AGI0.5%Not measuredOnly Llama 4 Scout measured
ARC-AGI-20.0%Not measuredOnly Llama 4 Scout measured
LMArena Text: hard prompts12661372Qwen3 Coder 480B A35B
LMArena Text: expert12351338Qwen3 Coder 480B A35B
LMArena Text: hard prompts in English12931380Qwen3 Coder 480B A35B
LMArena Vision: diagrams1125Not measuredOnly Llama 4 Scout measured
LMArena Vision: homework1148Not measuredOnly Llama 4 Scout measured
Kagi LLM Benchmark36.9%49.5%Qwen3 Coder 480B A35B
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 Scout and Qwen3 Coder 480B A35B
BenchmarkLlama 4 ScoutQwen3 Coder 480B A35BLeader
AIME19.0%Not measuredOnly Llama 4 Scout measured
MATH 500 (Vals AI)79.2%Not measuredOnly Llama 4 Scout measured
MGSM (Vals AI)88.0%Not measuredOnly Llama 4 Scout measured
AA Math Index14.039.3Qwen3 Coder 480B A35B
AIME 2025 (Artificial Analysis run)14.0%39.3%Qwen3 Coder 480B A35B
OTIS Mock AIME7.8%Not measuredOnly Llama 4 Scout measured
MATH level 562.3%Not measuredOnly Llama 4 Scout measured
LMArena Text: math12871365Qwen3 Coder 480B A35B
LMArena Text: mathematical work12861367Qwen3 Coder 480B A35B
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Llama 4 Scout and Qwen3 Coder 480B A35B
BenchmarkLlama 4 ScoutQwen3 Coder 480B A35BLeader
MMLU Pro69.6%Not measuredOnly Llama 4 Scout measured
LegalBench (Vals AI)72.0%Not measuredOnly Llama 4 Scout measured
CorpFin (Vals AI)46.8%Not measuredOnly Llama 4 Scout measured
TaxEval (Vals AI)55.2%Not measuredOnly Llama 4 Scout measured
MortgageTax (Vals AI)57.8%Not measuredOnly Llama 4 Scout measured
MedQA (Vals AI)50.9%Not measuredOnly Llama 4 Scout measured
MedCode (Vals AI)23.3%Not measuredOnly Llama 4 Scout measured
MMLU Pro (Artificial Analysis run)75.2%78.8%Qwen3 Coder 480B A35B
LMArena Text: science12781347Qwen3 Coder 480B A35B
LMArena Text: medicine and healthcare12751347Qwen3 Coder 480B A35B
LMArena Text: legal and government12851358Qwen3 Coder 480B A35B
LMArena Text: business and finance12571343Qwen3 Coder 480B A35B
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for Llama 4 Scout and Qwen3 Coder 480B A35B
BenchmarkLlama 4 ScoutQwen3 Coder 480B A35BLeader
Design Arena: websites7501158Qwen3 Coder 480B A35B
Design Arena: UI components7651110Qwen3 Coder 480B A35B
Design Arena: game dev7721098Qwen3 Coder 480B A35B
Design Arena: data viz8961084Qwen3 Coder 480B A35B
Design Arena: all code categories7891142Qwen3 Coder 480B A35B
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for Llama 4 Scout and Qwen3 Coder 480B A35B
BenchmarkLlama 4 ScoutQwen3 Coder 480B A35BLeader
SAGE (Vals AI)34.8%Not measuredOnly Llama 4 Scout measured
MedScribe (Vals AI)50.6%Not measuredOnly Llama 4 Scout measured
IFBench39.5%40.5%Qwen3 Coder 480B A35B
Long context reasoning (AA-LCR)27.7%45.7%Qwen3 Coder 480B A35B
DTBench57.9%Not measuredOnly Llama 4 Scout measured
LMCA12.0%Not measuredOnly Llama 4 Scout measured
Fiction.LiveBench36.0%Not measuredOnly Llama 4 Scout measured
LMArena Text12791357Qwen3 Coder 480B A35B
LMArena Text: instruction following12481355Qwen3 Coder 480B A35B
LMArena Text: creative writing12491333Qwen3 Coder 480B A35B
LMArena Vision1118Not measuredOnly Llama 4 Scout measured
LMArena Text: English13041359Qwen3 Coder 480B A35B
LMArena Text: non-English12521346Qwen3 Coder 480B A35B
LMArena Text: Chinese12551357Qwen3 Coder 480B A35B
LMArena Text: German12731325Qwen3 Coder 480B A35B
LMArena Text: Japanese12061311Qwen3 Coder 480B A35B
LMArena Text: Korean12071305Qwen3 Coder 480B A35B
LMArena Text: French12831398Qwen3 Coder 480B A35B
LMArena Text: Spanish12781360Qwen3 Coder 480B A35B
LMArena Text: Russian12631366Qwen3 Coder 480B A35B
LMArena Text: Polish12651344Qwen3 Coder 480B A35B
LMArena Text: multi-turn12801366Qwen3 Coder 480B A35B
LMArena Text: longer queries12651378Qwen3 Coder 480B A35B
LMArena Text: writing and language12691340Qwen3 Coder 480B A35B
LMArena Text: entertainment and media12421317Qwen3 Coder 480B A35B
LMArena Vision: English1143Not measuredOnly Llama 4 Scout measured
LMArena Vision: Chinese1106Not measuredOnly Llama 4 Scout measured
LMArena Vision: reading text1117Not measuredOnly Llama 4 Scout measured
LMArena Vision: humor1102Not measuredOnly Llama 4 Scout measured
LMArena Vision: creative writing1126Not measuredOnly Llama 4 Scout measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Llama 4 Scout and Qwen3 Coder 480B A35B
BenchmarkLlama 4 ScoutQwen3 Coder 480B A35BLeader
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 Scout$0.0004Fits in one request
Qwen3 Coder 480B A35B$0.0010Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

Llama 4 Scout$0.010Fits in one request
Qwen3 Coder 480B A35B$0.019Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

Llama 4 Scout$0.040Fits in one request
Qwen3 Coder 480B A35B$0.075Fits in one request

Llama 4 Scout 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 Scout and Qwen3 Coder 480B A35B
SpecificationMeta Llama 4 ScoutQwen3 Coder 480B A35B
MakerMeta LlamaQwen
WeightsOpen weightsOpen weights
ReleasedApril 5, 2025July 23, 2025
Context window1.31M262K
Input $/Mtok$0.175$0.30
Output $/Mtok$0.50$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved task$1.276Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Llama 4 Scout better than Qwen3 Coder 480B A35B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Llama 4 Scout for output tokens 3.0x cheaper ($0.50 vs $1.50 per million) and a larger context window (1.31M against 262K tokens).

Which is cheaper, Llama 4 Scout or Qwen3 Coder 480B A35B?

Llama 4 Scout costs $0.175 per million input tokens and $0.50 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for Llama 4 Scout only.

Which has the bigger context window, Llama 4 Scout or Qwen3 Coder 480B A35B?

Llama 4 Scout, with 1.31M tokens against 262K.

How many benchmarks is the Llama 4 Scout vs Qwen3 Coder 480B A35B comparison based on?

46 benchmarks have a result for both models as of October 22, 2026. Llama 4 Scout's coding index rests on 0 independent benchmarks and Qwen3 Coder 480B A35B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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