Model comparison

Llama 3.1-8B vs Qwen2.5 Plus 1127

Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.8 to 23.0 on the Noometry Index.

Last verified . 14 shared benchmarks.

Llama 3.1-8B Meta

23.0

Rank #352 Confirmed

Qwen2.5 Plus 1127 Alibaba (Qwen)

38.8

Rank #181 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Llama 3.1-8B scores higher in 0 categories and Qwen2.5 Plus 1127 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen2.5 Plus 1127 leads 35.5 to 8.0.
  • Llama 3.1-8B has downloadable open weights; the other is API-only.

Side by side

Llama 3.1-8B and Qwen2.5 Plus 1127 specifications
Llama 3.1-8BQwen2.5 Plus 1127
ProviderMetaAlibaba (Qwen)
Noometry Index23.038.8
Released2024-07-23—
WeightsOpenProprietary
Context window128K—
Max output4K—
Input $ / M tokens$0.05—
Output $ / M tokens$0.08—
Results tracked4314

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Category by category

Coding Qwen2.5 Plus 1127 leads

Llama 3.1-8B: 20.2 (#340), Qwen2.5 Plus 1127: 38.5 (#175)

Coding benchmarks
BenchmarkLlama 3.1-8BQwen2.5 Plus 1127
LMArena Coding11951314
SciCode13.2%—
WeirdML1.7%—
BigCodeBench Instruct32.8%—
BigCodeBench Complete40.5%—
HumanEval+62.8%—
MBPP+55.6%—

Agentic & Tool Use Not comparable

Llama 3.1-8B: 22.5 (#131), Qwen2.5 Plus 1127: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-8BQwen2.5 Plus 1127
Berkeley Function Calling Leaderboard25.8%—
BALROG15.1%—

Reasoning Qwen2.5 Plus 1127 leads

Llama 3.1-8B: 14.9 (#321), Qwen2.5 Plus 1127: 25.9 (#141)

Reasoning benchmarks
BenchmarkLlama 3.1-8BQwen2.5 Plus 1127
LMArena Hard Prompts11751299
CritPt0%—
Chess Puzzles0%—
DTBench50.9%—
LMCA5.4%—
Epoch Capabilities Index116.57—
PIQA81.2%—

Math Qwen2.5 Plus 1127 leads

Llama 3.1-8B: 10.2 (#317), Qwen2.5 Plus 1127: 36.1 (#174)

Math benchmarks
BenchmarkLlama 3.1-8BQwen2.5 Plus 1127
LMArena Math11791298
OTIS Mock AIME 2024-20251.7%—
Omni-MATH13.7%—
MATH Level 522.9%—
GSM8K82.4%—

Knowledge Qwen2.5 Plus 1127 leads

Llama 3.1-8B: 8.0 (#307), Qwen2.5 Plus 1127: 35.5 (#183)

Knowledge benchmarks
BenchmarkLlama 3.1-8BQwen2.5 Plus 1127
LMArena Expert11441289
GPQA Diamond27%—
MMLU-Pro40.6%—
GPQA (HELM)24.7%—
BoolQ82.8%—
MMLU56.1%—

Multilingual Qwen2.5 Plus 1127 leads

Llama 3.1-8B: 34.0 (#249), Qwen2.5 Plus 1127: 41.9 (#201)

Multilingual benchmarks
BenchmarkLlama 3.1-8BQwen2.5 Plus 1127
LMArena Non-English11481265
LMArena Chinese11511314
LMArena German11441231
LMArena Japanese10611207
LMArena Russian11581271
LMArena French1177—
LMArena Korean1053—
LMArena Spanish1169—

Instruction Following Qwen2.5 Plus 1127 leads

Llama 3.1-8B: 58.9 (#258), Qwen2.5 Plus 1127: 67.2 (#199)

Instruction Following benchmarks
BenchmarkLlama 3.1-8BQwen2.5 Plus 1127
LMArena Instruction Following11591275
IFEval74.3%—

Long Context Qwen2.5 Plus 1127 leads

Llama 3.1-8B: 35.8 (#238), Qwen2.5 Plus 1127: 39.2 (#184)

Long Context benchmarks
BenchmarkLlama 3.1-8BQwen2.5 Plus 1127
LMArena Longer Query11821292

Writing & Preference Qwen2.5 Plus 1127 leads

Llama 3.1-8B: 29.7 (#290), Qwen2.5 Plus 1127: 49.4 (#192)

Writing & Preference benchmarks
BenchmarkLlama 3.1-8BQwen2.5 Plus 1127
LMArena Text11871299
LMArena Creative Writing11541262
LMArena Multi-Turn11721299
EQ-Bench Creative Writing713—
WildBench68.7%—

Frequently asked questions

Is Llama 3.1-8B better than Qwen2.5 Plus 1127?

Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.8 to 23.0 on the Noometry Index.

Is Llama 3.1-8B or Qwen2.5 Plus 1127 better for coding?

Qwen2.5 Plus 1127 scores higher on coding benchmarks: 38.5 versus 20.2 in the Noometry coding category.

How many benchmarks do Llama 3.1-8B and Qwen2.5 Plus 1127 share?

14 benchmarks have published results for both models. Llama 3.1-8B has 43 scored results on Noometry and Qwen2.5 Plus 1127 has 14.

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