Noometry

Model comparison

Llama 3-8B vs Qwen3.8 Max

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 25.5 on the Noometry Index.

Last verified . 22 shared benchmarks.

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Qwen3.8 Max Alibaba (Qwen)

56.8

Rank #22 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Qwen3.8 Max in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.8 Max leads 73.2 to 8.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.9% for Llama 3-8B and 100% for Qwen3.8 Max.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

Llama 3-8BQwen3.8 Max
ProviderMetaAlibaba (Qwen)
Noometry Index25.556.8
Released2024-04-182026-08-02
WeightsOpenProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked3439

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Category by category

Coding Qwen3.8 Max leads

Llama 3-8B: 31.0 (#289), Qwen3.8 Max: 53.5 (#29)

BenchmarkLlama 3-8BQwen3.8 Max
LMArena Coding11521502
DeepSWE—57.5%
LMArena WebDev—1674
FrontierSWE—17.8%
SciCode—53.2%
BigCodeBench Instruct31.9%—
BigCodeBench Complete36.9%—
HumanEval+56.7%—
MBPP+54.8%—

Agentic & Tool Use Not comparable

Llama 3-8B: —, Qwen3.8 Max: 45.4 (#14)

BenchmarkLlama 3-8BQwen3.8 Max
APEX-Agents—63.3%
τ²-bench Banking—55.1%
GDP.pdf—23.2%

Reasoning Qwen3.8 Max leads

Llama 3-8B: 14.3 (#326), Qwen3.8 Max: 54.4 (#26)

BenchmarkLlama 3-8BQwen3.8 Max
Chess Puzzles0%40%
LMArena Hard Prompts11331496
DTBench43.9%92%
Epoch Capabilities Index116.45156.41
NYT Connections (extended)—88.3%
CritPt—20%
Mystery Game Puzzles—38%
LMCA—46.2%
Adversarial NLI57.3%—
ForecastBench58.6—
WinoGrande75.7%—

Math Qwen3.8 Max leads

Llama 3-8B: 8.8 (#323), Qwen3.8 Max: 73.2 (#20)

BenchmarkLlama 3-8BQwen3.8 Max
OTIS Mock AIME 2024-20251.9%100%
LMArena Math11511499
FrontierMath (Tiers 1-3)—74.7%
FrontierMath Tier 4—46.3%
ProofBench—58%
MATH Level 56.1%—

Knowledge Qwen3.8 Max leads

Llama 3-8B: 7.8 (#308), Qwen3.8 Max: 61.7 (#27)

BenchmarkLlama 3-8BQwen3.8 Max
GPQA Diamond26.1%92.7%
LMArena Expert11131507
SimpleQA Verified—47.3%
ARC (AI2) Challenge82.8%—
MMLU68.8%—
OpenBookQA82.6%—
TriviaQA67.7%—

Multimodal Not comparable

Llama 3-8B: —, Qwen3.8 Max: 37.2 (#75)

BenchmarkLlama 3-8BQwen3.8 Max
LMArena Vision—1314
Furniture Assembly—20%

Multilingual Qwen3.8 Max leads

Llama 3-8B: 30.8 (#261), Qwen3.8 Max: 56.7 (#18)

BenchmarkLlama 3-8BQwen3.8 Max
LMArena Non-English10981472
LMArena Chinese10761538
LMArena French11591503
LMArena German11041483
LMArena Japanese9671467
LMArena Korean10041461
LMArena Russian11091481
LMArena Spanish11731492

Instruction Following Qwen3.8 Max leads

Llama 3-8B: 58.4 (#260), Qwen3.8 Max: 77.6 (#17)

BenchmarkLlama 3-8BQwen3.8 Max
LMArena Instruction Following11271479

Long Context Qwen3.8 Max leads

Llama 3-8B: 34.2 (#251), Qwen3.8 Max: 45.6 (#31)

BenchmarkLlama 3-8BQwen3.8 Max
LMArena Longer Query11281489

Writing & Preference Qwen3.8 Max leads

Llama 3-8B: 37.5 (#256), Qwen3.8 Max: 67.1 (#30)

BenchmarkLlama 3-8BQwen3.8 Max
LMArena Text11661483
LMArena Creative Writing11501479
LMArena Multi-Turn11521489

Frequently asked questions

Is Llama 3-8B better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 25.5 on the Noometry Index.

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

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 31.0 in the Noometry coding category.

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

22 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Qwen3.8 Max has 39.

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