Noometry

Model comparison

Llama 3-8B vs Qwen3.7 Max

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 25.5 on the Noometry Index.

Last verified . 17 shared benchmarks.

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Qwen3.7 Max Alibaba (Qwen)

51.5

Rank #42 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Qwen3.7 Max in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.7 Max leads 61.6 to 7.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.9% for Llama 3-8B and 95.6% for Qwen3.7 Max.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

Llama 3-8BQwen3.7 Max
ProviderMetaAlibaba (Qwen)
Noometry Index25.551.5
Released2024-04-182026-05-19
WeightsOpenProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$2.50
Output $ / M tokens—$7.50
Results tracked3433

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Category by category

Coding Qwen3.7 Max leads

Llama 3-8B: 31.0 (#289), Qwen3.7 Max: 50.4 (#45)

BenchmarkLlama 3-8BQwen3.7 Max
LMArena Coding11521498
SWE-bench Verified—77.3%
LMArena WebDev—1515
SciCode—48.8%
BigCodeBench Instruct31.9%—
BigCodeBench Complete36.9%—
ALE-Bench—1,189
HumanEval+56.7%—
MBPP+54.8%—

Agentic & Tool Use Not comparable

Llama 3-8B: —, Qwen3.7 Max: 22.1 (#135)

BenchmarkLlama 3-8BQwen3.7 Max
GBAEval—0.4%

Reasoning Qwen3.7 Max leads

Llama 3-8B: 14.3 (#326), Qwen3.7 Max: 49.2 (#38)

BenchmarkLlama 3-8BQwen3.7 Max
Chess Puzzles0%19%
LMArena Hard Prompts11331483
DTBench43.9%92.3%
Epoch Capabilities Index116.45153.68
SimpleBench—70.4%
NYT Connections (extended)—85.1%
CritPt—13.4%
EBR-Bench—9.5%
Mystery Game Puzzles—32%
LMCA—44%
Adversarial NLI57.3%—
ForecastBench58.6—
WinoGrande75.7%—

Math Qwen3.7 Max leads

Llama 3-8B: 8.8 (#323), Qwen3.7 Max: 62.4 (#32)

BenchmarkLlama 3-8BQwen3.7 Max
OTIS Mock AIME 2024-20251.9%95.6%
LMArena Math11511490
FrontierMath (Tiers 1-3)—64.6%
FrontierMath Tier 4—34.1%
ProofBench—26%
MATH Level 56.1%—

Knowledge Qwen3.7 Max leads

Llama 3-8B: 7.8 (#308), Qwen3.7 Max: 61.6 (#28)

BenchmarkLlama 3-8BQwen3.7 Max
GPQA Diamond26.1%90.9%
LMArena Expert11131488
SimpleQA Verified—55.8%
ARC (AI2) Challenge82.8%—
MMLU68.8%—
OpenBookQA82.6%—
TriviaQA67.7%—

Multilingual Qwen3.7 Max leads

Llama 3-8B: 30.8 (#261), Qwen3.7 Max: 56.9 (#15)

BenchmarkLlama 3-8BQwen3.7 Max
LMArena Non-English10981474
LMArena Chinese10761530
LMArena Russian11091484
LMArena French1159—
LMArena German1104—
LMArena Japanese967—
LMArena Korean1004—
LMArena Spanish1173—

Instruction Following Qwen3.7 Max leads

Llama 3-8B: 58.4 (#260), Qwen3.7 Max: 76.7 (#38)

BenchmarkLlama 3-8BQwen3.7 Max
LMArena Instruction Following11271460

Long Context Qwen3.7 Max leads

Llama 3-8B: 34.2 (#251), Qwen3.7 Max: 45.4 (#40)

BenchmarkLlama 3-8BQwen3.7 Max
LMArena Longer Query11281482

Writing & Preference Qwen3.7 Max leads

Llama 3-8B: 37.5 (#256), Qwen3.7 Max: 65.0 (#54)

BenchmarkLlama 3-8BQwen3.7 Max
LMArena Text11661476
LMArena Creative Writing11501449
LMArena Multi-Turn11521481
EQ-Bench 4—1110

Frequently asked questions

Is Llama 3-8B better than Qwen3.7 Max?

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 25.5 on the Noometry Index.

Is Llama 3-8B or Qwen3.7 Max better for coding?

Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 31.0 in the Noometry coding category.

How many benchmarks do Llama 3-8B and Qwen3.7 Max share?

17 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Qwen3.7 Max has 33.

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