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Llama 3.2 1B Instruct vs Qwen3 Coder 480B A35B

Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Llama 3.2 1B InstructMeta Llama
Coding
No data
Overall
4.8
Output $/M
$0.201
1
Qwen3 Coder 480B A35BQwen
Coding
No data
Overall
11.9
Output $/M
$1.50
33
vs boards won of 34 shared

Decision reading

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

Llama 3.2 1B Instruct has the edge where output tokens cost 7.5x less, and where what matters is LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Shared results
34
Llama 3.2 1B Instruct only
3
Qwen3 Coder 480B A35B only
18
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 3.2 1B Instruct not benchmarked, Qwen3 Coder 480B A35B not benchmarked.
Widest category
Knowledge, 53.8 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Text: Russian: Llama 3.2 1B Instruct 941 against Qwen3 Coder 480B A35B 1366, 61.1 points apart on a 0 to 100 scale.
Output price
Llama 3.2 1B Instruct $0.201 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 7.5x apart.
Context window
Llama 3.2 1B Instruct takes 60K 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 3.2 1B InstructBarsQwen3 Coder 480B A35BTies
Coding04
Intelligence01
Agentic work01
Reasoning14
Math04
Knowledge05
General014
All shared boards133
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Llama 3.2 1B Instruct and Qwen3 Coder 480B A35B
BenchmarkLlama 3.2 1B InstructQwen3 Coder 480B A35BLeader
SWE-bench VerifiedNot measured69.6%Only Qwen3 Coder 480B A35B measured
LMArena WebDevNot measured1275Only Qwen3 Coder 480B A35B measured
LiveCodeBench (Artificial Analysis run)1.9%58.5%Qwen3 Coder 480B A35B
Terminal-Bench Hard (Artificial Analysis run)0.0%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: coding10701412Qwen3 Coder 480B A35B
LMArena Text: software and IT10561393Qwen3 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 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Llama 3.2 1B Instruct and Qwen3 Coder 480B A35B
BenchmarkLlama 3.2 1B InstructQwen3 Coder 480B A35BLeader
AA Intelligence Index4.811.9Qwen3 Coder 480B A35B
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Llama 3.2 1B Instruct and Qwen3 Coder 480B A35B
BenchmarkLlama 3.2 1B InstructQwen3 Coder 480B A35BLeader
τ²-Bench Telecom0.0%43.6%Qwen3 Coder 480B A35B
BALROG6.6%Not measuredOnly Llama 3.2 1B Instruct measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
Reasoning benchmarks for Llama 3.2 1B Instruct and Qwen3 Coder 480B A35B
BenchmarkLlama 3.2 1B InstructQwen3 Coder 480B A35BLeader
GPQA Diamond (Artificial Analysis run)19.6%61.8%Qwen3 Coder 480B A35B
Humanity's Last Exam (Artificial Analysis run)5.5%4.5%Llama 3.2 1B Instruct
GPQA Diamond (Epoch AI run)23.9%Not measuredOnly Llama 3.2 1B Instruct measured
LMArena Text: hard prompts10441372Qwen3 Coder 480B A35B
LMArena Text: expert10071338Qwen3 Coder 480B A35B
LMArena Text: hard prompts in English10871380Qwen3 Coder 480B A35B
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Llama 3.2 1B Instruct and Qwen3 Coder 480B A35B
BenchmarkLlama 3.2 1B InstructQwen3 Coder 480B A35BLeader
AA Math Index0.039.3Qwen3 Coder 480B A35B
AIME 2025 (Artificial Analysis run)0.0%39.3%Qwen3 Coder 480B A35B
OTIS Mock AIME0.6%Not measuredOnly Llama 3.2 1B Instruct measured
LMArena Text: math10861365Qwen3 Coder 480B A35B
LMArena Text: mathematical work10981367Qwen3 Coder 480B A35B
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Llama 3.2 1B Instruct and Qwen3 Coder 480B A35B
BenchmarkLlama 3.2 1B InstructQwen3 Coder 480B A35BLeader
MMLU Pro (Artificial Analysis run)20.0%78.8%Qwen3 Coder 480B A35B
LMArena Text: science10551347Qwen3 Coder 480B A35B
LMArena Text: medicine and healthcare10091347Qwen3 Coder 480B A35B
LMArena Text: legal and government10711358Qwen3 Coder 480B A35B
LMArena Text: business and finance10001343Qwen3 Coder 480B A35B
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for Llama 3.2 1B Instruct and Qwen3 Coder 480B A35B
BenchmarkLlama 3.2 1B InstructQwen3 Coder 480B A35BLeader
Design Arena: websitesNot measured1159Only Qwen3 Coder 480B A35B measured
Design Arena: UI componentsNot measured1113Only Qwen3 Coder 480B A35B measured
Design Arena: game devNot measured1099Only Qwen3 Coder 480B A35B measured
Design Arena: data vizNot measured1084Only Qwen3 Coder 480B A35B measured
Design Arena: all code categoriesNot measured1143Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
General benchmarks for Llama 3.2 1B Instruct and Qwen3 Coder 480B A35B
BenchmarkLlama 3.2 1B InstructQwen3 Coder 480B A35BLeader
IFBench22.8%40.5%Qwen3 Coder 480B A35B
Long context reasoning (AA-LCR)6.7%45.7%Qwen3 Coder 480B A35B
LMArena Text10551357Qwen3 Coder 480B A35B
LMArena Text: instruction following10311355Qwen3 Coder 480B A35B
LMArena Text: creative writing10331333Qwen3 Coder 480B A35B
LMArena Text: English11171359Qwen3 Coder 480B A35B
LMArena Text: non-English9731346Qwen3 Coder 480B A35B
LMArena Text: Chinese9591357Qwen3 Coder 480B A35B
LMArena Text: German10141325Qwen3 Coder 480B A35B
LMArena Text: JapaneseNot measured1311Only Qwen3 Coder 480B A35B measured
LMArena Text: KoreanNot measured1305Only Qwen3 Coder 480B A35B measured
LMArena Text: FrenchNot measured1398Only Qwen3 Coder 480B A35B measured
LMArena Text: SpanishNot measured1360Only Qwen3 Coder 480B A35B measured
LMArena Text: Russian9411366Qwen3 Coder 480B A35B
LMArena Text: PolishNot measured1344Only Qwen3 Coder 480B A35B measured
LMArena Text: multi-turn10301366Qwen3 Coder 480B A35B
LMArena Text: longer queries10501378Qwen3 Coder 480B A35B
LMArena Text: writing and language10301340Qwen3 Coder 480B A35B
LMArena Text: entertainment and media10251317Qwen3 Coder 480B A35B
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Llama 3.2 1B Instruct and Qwen3 Coder 480B A35B
BenchmarkLlama 3.2 1B InstructQwen3 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 3.2 1B Instruct$0.0001Fits in one request
Qwen3 Coder 480B A35B$0.0010Fits in one request

Llama 3.2 1B Instruct costs less

Repository review

50K input + 3K output tokens

Llama 3.2 1B Instruct$0.0020Fits in one request
Qwen3 Coder 480B A35B$0.019Fits in one request

Llama 3.2 1B Instruct costs less

Agent loop

200K input + 10K output tokens

Llama 3.2 1B Instruct$0.0074Exceeds the context window
Qwen3 Coder 480B A35B$0.075Fits in one request

Llama 3.2 1B 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 3.2 1B Instruct and Qwen3 Coder 480B A35B
SpecificationMeta Llama 3.2 1B InstructQwen3 Coder 480B A35B
MakerMeta LlamaQwen
WeightsOpen weightsOpen weights
ReleasedSeptember 25, 2024July 23, 2025
Context window60K262K
Input $/Mtok$0.027$0.30
Output $/Mtok$0.201$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Llama 3.2 1B Instruct better than Qwen3 Coder 480B A35B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Llama 3.2 1B Instruct has the edge where output tokens cost 7.5x less, and where what matters is LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Llama 3.2 1B Instruct or Qwen3 Coder 480B A35B?

Llama 3.2 1B Instruct costs $0.027 per million input tokens and $0.201 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for neither of them.

Which has the bigger context window, Llama 3.2 1B Instruct or Qwen3 Coder 480B A35B?

Qwen3 Coder 480B A35B, with 262K tokens against 60K.

How many benchmarks is the Llama 3.2 1B Instruct vs Qwen3 Coder 480B A35B comparison based on?

34 benchmarks have a result for both models as of October 21, 2026. Llama 3.2 1B Instruct'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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