Llama 3.2 1B Instruct vs Qwen3 Coder 30B A3B Instruct

Qwen3 Coder 30B A3B Instruct leads Llama 3.2 1B Instruct on the Artificial Analysis Intelligence Index, 9.6 to 4.8, and Llama 3.2 1B Instruct costs 2.2x less per output token ($0.201 vs $0.44 per million). Updated October 21, 2026; 11 benchmarks have a result for both.

Replace Llama 3.2 1B Instruct Replace Qwen3 Coder 30B A3B Instruct

Llama 3.2 1B InstructMeta Llama

Coding: No data
Overall: 4.8
Output $/M: $0.201

Qwen3 Coder 30B A3B InstructQwen

Coding: No data
Overall: 9.6
Output $/M: $0.44

vs boards won of 11 shared

Llama 3.2 1B Instruct or Qwen3 Coder 30B A3B Instruct: 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 2.2x cheaper ($0.201 vs $0.44 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model ALlama 3.2 1B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved task Model BQwen3 Coder 30B A3B InstructQwenNot benchmarkedNo coding benchmarkNo cost per solved task

11265

Shared results: 11
Llama 3.2 1B Instruct only: 26
Qwen3 Coder 30B A3B Instruct only: 5
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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Qwen3 Coder 30B A3B Instruct
Qwen3 Coder 30B A3B Instruct leads, 9.6 against 4.8.
Same board, both measured
Web design
Design Arena: websites
No call
Only Qwen3 Coder 30B A3B Instruct has a Design Arena: websites result, 1087.
Directional only
Long documents
Listed context window
Qwen3 Coder 30B A3B Instruct
Qwen3 Coder 30B A3B Instruct takes 262K tokens against 60K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 3.2 1B Instruct
Llama 3.2 1B Instruct $0.0001, Qwen3 Coder 30B A3B Instruct $0.0003 per turn.
List prices

At a glance

Coding index: Llama 3.2 1B Instruct not benchmarked, Qwen3 Coder 30B A3B Instruct not benchmarked.
Widest category: Knowledge, 50.6 points apart on average over 1 shared benchmark.
Widest single gap: MMLU Pro (Artificial Analysis run): Llama 3.2 1B Instruct 20.0% against Qwen3 Coder 30B A3B Instruct 70.6%, 50.6 points apart on a 0 to 100 scale.
Output price: Llama 3.2 1B Instruct $0.201 against Qwen3 Coder 30B A3B Instruct $0.44 per million output tokens, 2.2x apart.
Context window: Llama 3.2 1B Instruct takes 60K tokens, Qwen3 Coder 30B 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
Category	Llama 3.2 1B Instruct	Qwen3 Coder 30B A3B Instruct
Coding	0	2
Intelligence	0	1
Agentic work	0	1
Reasoning	1	1
Math	0	2
Knowledge	0	1
General	0	2
All shared boards	1	10

CodingLike-for-likeSix of these boards feed the Vibe Coding Index02

Coding benchmarks for Llama 3.2 1B Instruct and Qwen3 Coder 30B A3B Instruct
Benchmark	Llama 3.2 1B Instruct	Qwen3 Coder 30B A3B Instruct	Leader
SWE-bench Verified	Not measured	60.4%	Only Qwen3 Coder 30B A3B Instruct measured
SWE-bench Lite	Not measured	49.7%	Only Qwen3 Coder 30B A3B Instruct measured
LiveCodeBench (Artificial Analysis run)	1.9%	40.3%	Qwen3 Coder 30B A3B Instruct
Terminal-Bench Hard (Artificial Analysis run)	0.0%	15.2%	Qwen3 Coder 30B A3B Instruct
LMArena Text: coding	1070	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: software and IT	1056	Not measured	Only Llama 3.2 1B Instruct measured
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 3.2 1B Instruct and Qwen3 Coder 30B A3B Instruct
Benchmark	Llama 3.2 1B Instruct	Qwen3 Coder 30B A3B Instruct	Leader
AA Intelligence Index	4.8	9.6	Qwen3 Coder 30B A3B Instruct
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 30B A3B Instruct
Benchmark	Llama 3.2 1B Instruct	Qwen3 Coder 30B A3B Instruct	Leader
τ²-Bench Telecom	0.0%	34.5%	Qwen3 Coder 30B A3B Instruct
BALROG	6.6%	Not measured	Only 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 index11

Reasoning benchmarks for Llama 3.2 1B Instruct and Qwen3 Coder 30B A3B Instruct
Benchmark	Llama 3.2 1B Instruct	Qwen3 Coder 30B A3B Instruct	Leader
GPQA Diamond (Artificial Analysis run)	19.6%	51.6%	Qwen3 Coder 30B A3B Instruct
Humanity's Last Exam (Artificial Analysis run)	5.5%	3.8%	Llama 3.2 1B Instruct
GPQA Diamond (Epoch AI run)	23.9%	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: hard prompts	1044	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: expert	1007	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: hard prompts in English	1087	Not measured	Only Llama 3.2 1B Instruct measured
Neither model has a result on the other 15 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index02

Math benchmarks for Llama 3.2 1B Instruct and Qwen3 Coder 30B A3B Instruct
Benchmark	Llama 3.2 1B Instruct	Qwen3 Coder 30B A3B Instruct	Leader
AA Math Index	0.0	29.0	Qwen3 Coder 30B A3B Instruct
AIME 2025 (Artificial Analysis run)	0.0%	29.0%	Qwen3 Coder 30B A3B Instruct
OTIS Mock AIME	0.6%	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: math	1086	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: mathematical work	1098	Not measured	Only Llama 3.2 1B Instruct measured
Neither model has a result on the other 8 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01

Knowledge benchmarks for Llama 3.2 1B Instruct and Qwen3 Coder 30B A3B Instruct
Benchmark	Llama 3.2 1B Instruct	Qwen3 Coder 30B A3B Instruct	Leader
MMLU Pro (Artificial Analysis run)	20.0%	70.6%	Qwen3 Coder 30B A3B Instruct
LMArena Text: science	1055	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: medicine and healthcare	1009	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: legal and government	1071	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: business and finance	1000	Not measured	Only Llama 3.2 1B Instruct measured
Neither model has a result on the other 12 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared

Web design benchmarks for Llama 3.2 1B Instruct and Qwen3 Coder 30B A3B Instruct
Benchmark	Llama 3.2 1B Instruct	Qwen3 Coder 30B A3B Instruct	Leader
Design Arena: websites	Not measured	1087	Only Qwen3 Coder 30B A3B Instruct measured
Design Arena: UI components	Not measured	1046	Only Qwen3 Coder 30B A3B Instruct measured
Design Arena: data viz	Not measured	1085	Only Qwen3 Coder 30B A3B Instruct measured
Neither model has a result on the other 6 boards here

GeneralLike-for-likePublic boards, shown as published, kept out of the index02

General benchmarks for Llama 3.2 1B Instruct and Qwen3 Coder 30B A3B Instruct
Benchmark	Llama 3.2 1B Instruct	Qwen3 Coder 30B A3B Instruct	Leader
IFBench	22.8%	32.7%	Qwen3 Coder 30B A3B Instruct
Long context reasoning (AA-LCR)	6.7%	32.7%	Qwen3 Coder 30B A3B Instruct
LMArena Text	1055	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: instruction following	1031	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: creative writing	1033	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: English	1117	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: non-English	973	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: Chinese	959	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: German	1014	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: Russian	941	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: multi-turn	1030	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: longer queries	1050	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: writing and language	1030	Not measured	Only Llama 3.2 1B Instruct measured
LMArena Text: entertainment and media	1025	Not measured	Only Llama 3.2 1B Instruct measured
Neither model has a result on the other 32 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 30B A3B Instruct
Benchmark	Llama 3.2 1B Instruct	Qwen3 Coder 30B A3B Instruct	Leader
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 30B A3B Instruct$0.0003Fits 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 30B A3B Instruct$0.0068Fits 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 30B A3B Instruct$0.026Fits 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 30B A3B Instruct
Specification	Meta Llama 3.2 1B Instruct	Qwen3 Coder 30B A3B Instruct
Maker	Meta Llama	Qwen
Weights	Open weights	Open weights
Released	September 25, 2024	July 31, 2025
Context window	60K	262K
Input $/Mtok	$0.027	$0.11
Output $/Mtok	$0.201	$0.44
Coding index	Not benchmarked	Not benchmarked
Independent measurements behind it	0	0
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Llama 3.2 1B Instruct better than Qwen3 Coder 30B A3B Instruct 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 2.2x cheaper ($0.201 vs $0.44 per million) and work measured by 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 30B A3B Instruct?

Llama 3.2 1B Instruct costs $0.027 per million input tokens and $0.201 per million output tokens; Qwen3 Coder 30B A3B Instruct costs $0.11 and $0.44. Cost per solved task is known for neither of them.

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

Qwen3 Coder 30B A3B Instruct, with 262K tokens against 60K.

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

11 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 30B A3B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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

Which one for your work

Coding

Intelligence

Web design

Long documents

Everyday cost

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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