Model comparison

Llama 3-8B vs Qwen2.5 Plus 1127

Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.8 to 25.5 on the Noometry Index.

Last verified . 14 shared benchmarks.

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Qwen2.5 Plus 1127 Alibaba (Qwen)

38.8

Rank #181 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Llama 3-8B 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 7.8.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

Llama 3-8B and Qwen2.5 Plus 1127 specifications
Llama 3-8BQwen2.5 Plus 1127
ProviderMetaAlibaba (Qwen)
Noometry Index25.538.8
Released2024-04-18—
WeightsOpenProprietary
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3414

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Category by category

Coding Qwen2.5 Plus 1127 leads

Llama 3-8B: 31.0 (#289), Qwen2.5 Plus 1127: 38.5 (#175)

Coding benchmarks
BenchmarkLlama 3-8BQwen2.5 Plus 1127
LMArena Coding11521314
BigCodeBench Instruct31.9%—
BigCodeBench Complete36.9%—
HumanEval+56.7%—
MBPP+54.8%—

Reasoning Qwen2.5 Plus 1127 leads

Llama 3-8B: 14.3 (#326), Qwen2.5 Plus 1127: 25.9 (#141)

Reasoning benchmarks
BenchmarkLlama 3-8BQwen2.5 Plus 1127
LMArena Hard Prompts11331299
Chess Puzzles0%—
DTBench43.9%—
Adversarial NLI57.3%—
Epoch Capabilities Index116.45—
ForecastBench58.6—
WinoGrande75.7%—

Math Qwen2.5 Plus 1127 leads

Llama 3-8B: 8.8 (#323), Qwen2.5 Plus 1127: 36.1 (#174)

Math benchmarks
BenchmarkLlama 3-8BQwen2.5 Plus 1127
LMArena Math11511298
OTIS Mock AIME 2024-20251.9%—
MATH Level 56.1%—

Knowledge Qwen2.5 Plus 1127 leads

Llama 3-8B: 7.8 (#308), Qwen2.5 Plus 1127: 35.5 (#183)

Knowledge benchmarks
BenchmarkLlama 3-8BQwen2.5 Plus 1127
LMArena Expert11131289
GPQA Diamond26.1%—
ARC (AI2) Challenge82.8%—
MMLU68.8%—
OpenBookQA82.6%—
TriviaQA67.7%—

Multilingual Qwen2.5 Plus 1127 leads

Llama 3-8B: 30.8 (#261), Qwen2.5 Plus 1127: 41.9 (#201)

Multilingual benchmarks
BenchmarkLlama 3-8BQwen2.5 Plus 1127
LMArena Non-English10981265
LMArena Chinese10761314
LMArena German11041231
LMArena Japanese9671207
LMArena Russian11091271
LMArena French1159—
LMArena Korean1004—
LMArena Spanish1173—

Instruction Following Qwen2.5 Plus 1127 leads

Llama 3-8B: 58.4 (#260), Qwen2.5 Plus 1127: 67.2 (#199)

Instruction Following benchmarks
BenchmarkLlama 3-8BQwen2.5 Plus 1127
LMArena Instruction Following11271275

Long Context Qwen2.5 Plus 1127 leads

Llama 3-8B: 34.2 (#251), Qwen2.5 Plus 1127: 39.2 (#184)

Long Context benchmarks
BenchmarkLlama 3-8BQwen2.5 Plus 1127
LMArena Longer Query11281292

Writing & Preference Qwen2.5 Plus 1127 leads

Llama 3-8B: 37.5 (#256), Qwen2.5 Plus 1127: 49.4 (#192)

Writing & Preference benchmarks
BenchmarkLlama 3-8BQwen2.5 Plus 1127
LMArena Text11661299
LMArena Creative Writing11501262
LMArena Multi-Turn11521299

Frequently asked questions

Is Llama 3-8B better than Qwen2.5 Plus 1127?

Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.8 to 25.5 on the Noometry Index.

Is Llama 3-8B or Qwen2.5 Plus 1127 better for coding?

Qwen2.5 Plus 1127 scores higher on coding benchmarks: 38.5 versus 31.0 in the Noometry coding category.

How many benchmarks do Llama 3-8B and Qwen2.5 Plus 1127 share?

14 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Qwen2.5 Plus 1127 has 14.

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