Model comparison

Llama 3.2 1B vs Qwen3 8B

Qwen3 8B is the stronger model overall, scoring 33.7 to 20.1 on the Noometry Index. Llama 3.2 1B costs 4.4× less per token, which makes it the better buy when Qwen3 8B's lead doesn't matter for your workload.

Last verified . 5 shared benchmarks.

Llama 3.2 1B Meta

20.1

Rank #354 Confirmed

Qwen3 8B Alibaba (Qwen)

33.7

Rank #238 Confirmed

Summary

  • They share 5 benchmarks with published results for both. Llama 3.2 1B scores higher in 0 categories and Qwen3 8B in 6 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3 8B leads 36.1 to 7.2.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.6% for Llama 3.2 1B and 56.1% for Qwen3 8B.
  • Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $0.18 / $0.70 for Qwen3 8B.
  • Qwen3 8B accepts more context: 131K tokens versus 60K.

Side by side

Llama 3.2 1B and Qwen3 8B specifications
Llama 3.2 1BQwen3 8B
ProviderMetaAlibaba (Qwen)
Noometry Index20.133.7
Released2024-09-242025-04
WeightsOpenOpen
Context window60K131K
Max output54K8K
Input $ / M tokens$0.027$0.18
Output $ / M tokens$0.20$0.70
Results tracked2211

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Category by category

Coding Qwen3 8B leads

Llama 3.2 1B: 21.1 (#338), Qwen3 8B: 34.0 (#248)

Coding benchmarks
BenchmarkLlama 3.2 1BQwen3 8B
SciCode—22.6%
BigCodeBench Instruct8.2%—
LMArena Coding1070—
BigCodeBench Complete11.3%—

Agentic & Tool Use Qwen3 8B leads

Llama 3.2 1B: 14.6 (#150), Qwen3 8B: 30.2 (#78)

Agentic & Tool Use benchmarks
BenchmarkLlama 3.2 1BQwen3 8B
Berkeley Function Calling Leaderboard10.8%42.6%
BALROG6.6%—

Reasoning Too close to call

Llama 3.2 1B: 16.2 (#308), Qwen3 8B: 16.6 (#303)

Reasoning benchmarks
BenchmarkLlama 3.2 1BQwen3 8B
Chess Puzzles0%5%
Epoch Capabilities Index101.99136.17
CritPt—0%
LMArena Hard Prompts1044—
DTBench—59.7%
LMCA—8.8%

Math Qwen3 8B leads

Llama 3.2 1B: 10.4 (#313), Qwen3 8B: 34.9 (#191)

Math benchmarks
BenchmarkLlama 3.2 1BQwen3 8B
OTIS Mock AIME 2024-20250.6%56.1%
LMArena Math1086—

Knowledge Qwen3 8B leads

Llama 3.2 1B: 7.2 (#312), Qwen3 8B: 36.1 (#173)

Knowledge benchmarks
BenchmarkLlama 3.2 1BQwen3 8B
GPQA Diamond23.9%56.8%
Vectara Hallucination Rate—4.8%
LMArena Expert1007—

Multilingual Not comparable

Llama 3.2 1B: 23.8 (#292), Qwen3 8B: —

Multilingual benchmarks
BenchmarkLlama 3.2 1BQwen3 8B
LMArena Non-English973—
LMArena Chinese959—
LMArena German1014—
LMArena Russian941—

Instruction Following Not comparable

Llama 3.2 1B: 52.4 (#290), Qwen3 8B: —

Instruction Following benchmarks
BenchmarkLlama 3.2 1BQwen3 8B
LMArena Instruction Following1031—

Long Context Qwen3 8B leads

Llama 3.2 1B: 31.9 (#274), Qwen3 8B: 37.9 (#210)

Long Context benchmarks
BenchmarkLlama 3.2 1BQwen3 8B
Fiction.LiveBench—62.1%
LMArena Longer Query1050—

Writing & Preference Not comparable

Llama 3.2 1B: 21.3 (#310), Qwen3 8B: —

Writing & Preference benchmarks
BenchmarkLlama 3.2 1BQwen3 8B
LMArena Text1055—
LMArena Creative Writing1033—
EQ-Bench Creative Writing200—
LMArena Multi-Turn1030—

Frequently asked questions

Is Llama 3.2 1B better than Qwen3 8B?

Qwen3 8B is the stronger model overall, scoring 33.7 to 20.1 on the Noometry Index. Llama 3.2 1B costs 4.4× less per token, which makes it the better buy when Qwen3 8B's lead doesn't matter for your workload.

Which is cheaper, Llama 3.2 1B or Qwen3 8B?

Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; Qwen3 8B lists at $0.18 and $0.70.

Is Llama 3.2 1B or Qwen3 8B better for coding?

Qwen3 8B scores higher on coding benchmarks: 34.0 versus 21.1 in the Noometry coding category.

Which has the bigger context window?

Qwen3 8B does, with 131K tokens against 60K.

How many benchmarks do Llama 3.2 1B and Qwen3 8B share?

5 benchmarks have published results for both models. Llama 3.2 1B has 22 scored results on Noometry and Qwen3 8B has 11.

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