Noometry

Model comparison

Llama 3-8B vs Qwen3 Max

Qwen3 Max is the stronger model overall, scoring 43.7 to 25.5 on the Noometry Index.

Last verified . 23 shared benchmarks.

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Qwen3 Max Alibaba (Qwen)

43.7

Rank #87 Confirmed

Summary

  • They share 23 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Qwen3 Max in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3 Max leads 48.1 to 7.8.
  • The biggest single-benchmark swing is MATH Level 5: 6.1% for Llama 3-8B and 97.1% for Qwen3 Max.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

Llama 3-8BQwen3 Max
ProviderMetaAlibaba (Qwen)
Noometry Index25.543.7
Released2024-04-182025-09-23
WeightsOpenProprietary
Context window—262K
Max output—66K
Input $ / M tokens—$1.20
Output $ / M tokens—$6
Results tracked3433

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Category by category

Coding Qwen3 Max leads

Llama 3-8B: 31.0 (#289), Qwen3 Max: 43.0 (#93)

BenchmarkLlama 3-8BQwen3 Max
LMArena Coding11521456
BigCodeBench Instruct31.9%—
BigCodeBench Complete36.9%—
ALE-Bench—370.45
HumanEval+56.7%—
MBPP+54.8%—

Agentic & Tool Use Not comparable

Llama 3-8B: —, Qwen3 Max: —

BenchmarkLlama 3-8BQwen3 Max
Vending-Bench 2—71.56

Reasoning Qwen3 Max leads

Llama 3-8B: 14.3 (#326), Qwen3 Max: 22.6 (#190)

BenchmarkLlama 3-8BQwen3 Max
Chess Puzzles0%4%
LMArena Hard Prompts11331448
DTBench43.9%82.1%
Epoch Capabilities Index116.45142.38
Kagi LLM Benchmark—72.5%
NYT Connections (extended)—30.1%
Mystery Game Puzzles—5%
LMCA—28.3%
Adversarial NLI57.3%—
ForecastBench58.6—
WinoGrande75.7%—

Math Qwen3 Max leads

Llama 3-8B: 8.8 (#323), Qwen3 Max: 38.7 (#131)

BenchmarkLlama 3-8BQwen3 Max
OTIS Mock AIME 2024-20251.9%73.3%
LMArena Math11511446
MATH Level 56.1%97.1%
FrontierMath (Tiers 1-3)—18.9%

Knowledge Qwen3 Max leads

Llama 3-8B: 7.8 (#308), Qwen3 Max: 48.1 (#78)

BenchmarkLlama 3-8BQwen3 Max
GPQA Diamond26.1%72.6%
LMArena Expert11131455
SimpleQA Verified—48.7%
ARC (AI2) Challenge82.8%—
MMLU68.8%—
OpenBookQA82.6%—
TriviaQA67.7%—

Multilingual Qwen3 Max leads

Llama 3-8B: 30.8 (#261), Qwen3 Max: 53.7 (#62)

BenchmarkLlama 3-8BQwen3 Max
LMArena Non-English10981429
LMArena Chinese10761478
LMArena French11591449
LMArena German11041463
LMArena Japanese9671397
LMArena Korean10041399
LMArena Russian11091428
LMArena Spanish11731462

Instruction Following Qwen3 Max leads

Llama 3-8B: 58.4 (#260), Qwen3 Max: 74.8 (#87)

BenchmarkLlama 3-8BQwen3 Max
LMArena Instruction Following11271419

Long Context Qwen3 Max leads

Llama 3-8B: 34.2 (#251), Qwen3 Max: 41.6 (#134)

BenchmarkLlama 3-8BQwen3 Max
LMArena Longer Query11281438
Fiction.LiveBench—66.7%
CL-bench—14.5%

Writing & Preference Qwen3 Max leads

Llama 3-8B: 37.5 (#256), Qwen3 Max: 62.4 (#76)

BenchmarkLlama 3-8BQwen3 Max
LMArena Text11661439
LMArena Creative Writing11501402
LMArena Multi-Turn11521446

Frequently asked questions

Is Llama 3-8B better than Qwen3 Max?

Qwen3 Max is the stronger model overall, scoring 43.7 to 25.5 on the Noometry Index.

Is Llama 3-8B or Qwen3 Max better for coding?

Qwen3 Max scores higher on coding benchmarks: 43.0 versus 31.0 in the Noometry coding category.

How many benchmarks do Llama 3-8B and Qwen3 Max share?

23 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Qwen3 Max has 33.

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