Noometry

Model comparison

Llama 2-70B vs Qwen3.7 Plus

Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 24.4 on the Noometry Index.

Last verified . 21 shared benchmarks.

Llama 2-70B Meta

24.4

Rank #349 Confirmed

Qwen3.7 Plus Alibaba (Qwen)

45.3

Rank #72 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Llama 2-70B scores higher in 0 categories and Qwen3.7 Plus in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.7 Plus leads 54.9 to 7.4.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0% for Llama 2-70B and 93.3% for Qwen3.7 Plus.
  • Llama 2-70B has downloadable open weights; the other is API-only.

Side by side

Llama 2-70BQwen3.7 Plus
ProviderMetaAlibaba (Qwen)
Noometry Index24.445.3
Released2023-07-182026-06-02
WeightsOpenProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$0.40
Output $ / M tokens—$1.60
Results tracked3532

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Category by category

Coding Qwen3.7 Plus leads

Llama 2-70B: 31.4 (#286), Qwen3.7 Plus: 36.6 (#206)

BenchmarkLlama 2-70BQwen3.7 Plus
LMArena Coding10791473
FrontierCode—10.2%
SciCode—45.5%

Agentic & Tool Use Not comparable

Llama 2-70B: —, Qwen3.7 Plus: 21.4 (#138)

BenchmarkLlama 2-70BQwen3.7 Plus
OSWorld 2.0—2.8%

Reasoning Qwen3.7 Plus leads

Llama 2-70B: 14.4 (#325), Qwen3.7 Plus: 39.3 (#59)

BenchmarkLlama 2-70BQwen3.7 Plus
LMArena Hard Prompts10731460
DTBench41.6%84%
Epoch Capabilities Index113.79147.37
NYT Connections (extended)—74.8%
CritPt—9.1%
Chess Puzzles—24%
Mystery Game Puzzles—17%
LMCA—37.6%
BIG-Bench Hard64.9%—
CommonsenseQA 2.050%—
ForecastBench51.4—
HellaSwag85.3%—
LAMBADA78.9%—
PIQA82.8%—
WinoGrande80.2%—

Math Qwen3.7 Plus leads

Llama 2-70B: 8.1 (#326), Qwen3.7 Plus: 50.5 (#56)

BenchmarkLlama 2-70BQwen3.7 Plus
OTIS Mock AIME 2024-20250%93.3%
LMArena Math10911466
FrontierMath (Tiers 1-3)—34.4%
MATH Level 53.3%—
GSM8K69.6%—

Knowledge Qwen3.7 Plus leads

Llama 2-70B: 7.4 (#310), Qwen3.7 Plus: 54.9 (#51)

BenchmarkLlama 2-70BQwen3.7 Plus
GPQA Diamond26.3%87.9%
LMArena Expert10391467
ARC (AI2) Challenge78.3%—
BoolQ88.6%—
MMLU69.9%—
OpenBookQA60.2%—
TriviaQA87.6%—

Multimodal Not comparable

Llama 2-70B: —, Qwen3.7 Plus: 41.8 (#33)

BenchmarkLlama 2-70BQwen3.7 Plus
LMArena Vision—1279
LMArena Document—1444

Multilingual Qwen3.7 Plus leads

Llama 2-70B: 27.7 (#274), Qwen3.7 Plus: 54.8 (#38)

BenchmarkLlama 2-70BQwen3.7 Plus
LMArena Non-English10451445
LMArena Chinese9951510
LMArena French10901473
LMArena German10411471
LMArena Japanese9271413
LMArena Korean9641415
LMArena Russian10831457
LMArena Spanish11431457

Instruction Following Qwen3.7 Plus leads

Llama 2-70B: 54.9 (#278), Qwen3.7 Plus: 75.8 (#52)

BenchmarkLlama 2-70BQwen3.7 Plus
LMArena Instruction Following10711440

Long Context Qwen3.7 Plus leads

Llama 2-70B: 32.3 (#270), Qwen3.7 Plus: 44.5 (#65)

BenchmarkLlama 2-70BQwen3.7 Plus
LMArena Longer Query10621455

Writing & Preference Qwen3.7 Plus leads

Llama 2-70B: 32.3 (#279), Qwen3.7 Plus: 64.3 (#56)

BenchmarkLlama 2-70BQwen3.7 Plus
LMArena Text11151455
LMArena Creative Writing10751439
LMArena Multi-Turn10881460

Frequently asked questions

Is Llama 2-70B better than Qwen3.7 Plus?

Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 24.4 on the Noometry Index.

Is Llama 2-70B or Qwen3.7 Plus better for coding?

Qwen3.7 Plus scores higher on coding benchmarks: 36.6 versus 31.4 in the Noometry coding category.

How many benchmarks do Llama 2-70B and Qwen3.7 Plus share?

21 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Qwen3.7 Plus has 32.

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