Enter opens the highlighted result. Esc closes.

Llama 3.2 1B Instruct vs Qwen3 30B A3B

Qwen3 30B A3B leads Llama 3.2 1B Instruct on the Artificial Analysis Intelligence Index, 7.6 to 4.8, and Llama 3.2 1B Instruct costs 2.5x less per output token ($0.201 vs $0.50 per million). Updated October 22, 2026; 36 benchmarks have a result for both.

Replace Llama 3.2 1B Instruct Replace Qwen3 30B A3B
Llama 3.2 1B InstructMeta Llama
Coding
No data
Overall
9.6
Output $/M
$0.201
1
Qwen3 30B A3BQwen
Coding
No data
Overall
38.2
Output $/M
$0.50
35
vs boards won of 36 shared

Llama 3.2 1B Instruct or Qwen3 30B A3B: which to pick

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

Pick Llama 3.2 1B Instruct for output tokens 2.5x cheaper ($0.201 vs $0.50 per million) and a larger context window (60K against 41K tokens).

Model ALlama 3.2 1B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 30B A3BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
36
Llama 3.2 1B Instruct only
2
Qwen3 30B A3B only
16
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 3.2 1B Instruct not benchmarked, Qwen3 30B A3B not benchmarked.
Widest category
Math, 59.2 points apart on average over 5 shared benchmarks.
Widest single gap
AIME 2025 (Artificial Analysis run): Llama 3.2 1B Instruct 0.0% against Qwen3 30B A3B 72.3%, 72.3 points apart on a 0 to 100 scale.
Output price
Llama 3.2 1B Instruct $0.201 against Qwen3 30B A3B $0.50 per million output tokens, 2.5x apart.
Context window
Llama 3.2 1B Instruct takes 60K tokens, Qwen3 30B A3B 41K.

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 30B A3BTies
Coding04
Intelligence01
Agentic work01
Reasoning06
Math05
Knowledge05
General113
All shared boards135
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Llama 3.2 1B Instruct and Qwen3 30B A3B
BenchmarkLlama 3.2 1B InstructQwen3 30B A3BLeader
LiveCodeBench (Artificial Analysis run)1.9%50.6%Qwen3 30B A3B
Terminal-Bench Hard (Artificial Analysis run)0.0%6.8%Qwen3 30B A3B
WeirdMLNot measured29.8%Only Qwen3 30B A3B measured
LMArena Text: coding10701337Qwen3 30B A3B
LMArena Text: software and IT10561340Qwen3 30B A3B
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Llama 3.2 1B Instruct and Qwen3 30B A3B
BenchmarkLlama 3.2 1B InstructQwen3 30B A3BLeader
AA Intelligence Index4.87.6Qwen3 30B A3B
Epoch Capabilities IndexNot measured137.3Only Qwen3 30B A3B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Llama 3.2 1B Instruct and Qwen3 30B A3B
BenchmarkLlama 3.2 1B InstructQwen3 30B A3BLeader
τ²-Bench Telecom0.0%26.0%Qwen3 30B A3B
BALROG6.6%Not measuredOnly Llama 3.2 1B Instruct measured
Berkeley Function Calling Leaderboard (BFCL)10.8%Not measuredOnly Llama 3.2 1B Instruct 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 3.2 1B Instruct and Qwen3 30B A3B
BenchmarkLlama 3.2 1B InstructQwen3 30B A3BLeader
GPQA Diamond (Artificial Analysis run)19.6%61.6%Qwen3 30B A3B
Humanity's Last Exam (Artificial Analysis run)5.5%6.2%Qwen3 30B A3B
GPQA Diamond (Epoch AI run)23.9%61.7%Qwen3 30B A3B
LMArena Text: hard prompts10441314Qwen3 30B A3B
LMArena Text: expert10071314Qwen3 30B A3B
LMArena Text: hard prompts in English10871329Qwen3 30B A3B
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for Llama 3.2 1B Instruct and Qwen3 30B A3B
BenchmarkLlama 3.2 1B InstructQwen3 30B A3BLeader
AA Math Index0.072.3Qwen3 30B A3B
AIME 2025 (Artificial Analysis run)0.0%72.3%Qwen3 30B A3B
OTIS Mock AIME0.6%62.8%Qwen3 30B A3B
LMArena Text: math10861355Qwen3 30B A3B
LMArena Text: mathematical work10981363Qwen3 30B A3B
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 30B A3B
BenchmarkLlama 3.2 1B InstructQwen3 30B A3BLeader
MMLU Pro (Artificial Analysis run)20.0%77.7%Qwen3 30B A3B
LMArena Text: science10551321Qwen3 30B A3B
LMArena Text: medicine and healthcare10091318Qwen3 30B A3B
LMArena Text: legal and government10711314Qwen3 30B A3B
LMArena Text: business and finance10001309Qwen3 30B A3B
Neither model has a result on the other 13 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 30B A3B
BenchmarkLlama 3.2 1B InstructQwen3 30B A3BLeader
Design Arena: websitesNot measured954Only Qwen3 30B A3B measured
Design Arena: UI componentsNot measured943Only Qwen3 30B A3B measured
Design Arena: game devNot measured898Only Qwen3 30B A3B measured
Design Arena: data vizNot measured967Only Qwen3 30B A3B measured
Design Arena: all code categoriesNot measured941Only Qwen3 30B A3B measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index113
General benchmarks for Llama 3.2 1B Instruct and Qwen3 30B A3B
BenchmarkLlama 3.2 1B InstructQwen3 30B A3BLeader
IFBench22.8%41.5%Qwen3 30B A3B
Long context reasoning (AA-LCR)6.7%0.0%Llama 3.2 1B Instruct
DTBenchNot measured60.3%Only Qwen3 30B A3B measured
LMCANot measured15.8%Only Qwen3 30B A3B measured
Fiction.LiveBenchNot measured40.6%Only Qwen3 30B A3B measured
Creative writing (Lech Mazur)Not measured75.3%Only Qwen3 30B A3B measured
LMArena Text10551317Qwen3 30B A3B
LMArena Text: instruction following10311283Qwen3 30B A3B
LMArena Text: creative writing10331271Qwen3 30B A3B
LMArena Text: English11171335Qwen3 30B A3B
LMArena Text: non-English9731295Qwen3 30B A3B
LMArena Text: Chinese9591347Qwen3 30B A3B
LMArena Text: German10141307Qwen3 30B A3B
LMArena Text: JapaneseNot measured1254Only Qwen3 30B A3B measured
LMArena Text: KoreanNot measured1261Only Qwen3 30B A3B measured
LMArena Text: FrenchNot measured1352Only Qwen3 30B A3B measured
LMArena Text: SpanishNot measured1317Only Qwen3 30B A3B measured
LMArena Text: Russian9411291Qwen3 30B A3B
LMArena Text: PolishNot measured1299Only Qwen3 30B A3B measured
LMArena Text: multi-turn10301307Qwen3 30B A3B
LMArena Text: longer queries10501312Qwen3 30B A3B
LMArena Text: writing and language10301290Qwen3 30B A3B
LMArena Text: entertainment and media10251258Qwen3 30B A3B
Neither model has a result on the other 23 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 30B A3B
BenchmarkLlama 3.2 1B InstructQwen3 30B A3BLeader
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 30B A3B$0.0004Fits 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 30B A3B$0.0075Exceeds the context window

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 30B A3B$0.029Exceeds the context window

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 30B A3B
SpecificationMeta Llama 3.2 1B InstructQwen3 30B A3B
MakerMeta LlamaQwen
WeightsOpen weightsOpen weights
ReleasedSeptember 25, 2024April 28, 2025
Context window60K41K
Input $/Mtok$0.027$0.12
Output $/Mtok$0.201$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Llama 3.2 1B Instruct better than Qwen3 30B A3B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Llama 3.2 1B Instruct for output tokens 2.5x cheaper ($0.201 vs $0.50 per million) and a larger context window (60K against 41K tokens).

Which is cheaper, Llama 3.2 1B Instruct or Qwen3 30B A3B?

Llama 3.2 1B Instruct costs $0.027 per million input tokens and $0.201 per million output tokens; Qwen3 30B A3B costs $0.12 and $0.50. Cost per solved task is known for neither of them.

Which has the bigger context window, Llama 3.2 1B Instruct or Qwen3 30B A3B?

Llama 3.2 1B Instruct, with 60K tokens against 41K.

How many benchmarks is the Llama 3.2 1B Instruct vs Qwen3 30B A3B comparison based on?

36 benchmarks have a result for both models as of October 22, 2026. Llama 3.2 1B Instruct's coding index rests on 0 independent benchmarks and Qwen3 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next