Model comparison

Llama 2-70B vs Qwen2.5-Coder-32B

Qwen2.5-Coder-32B is the stronger model overall, scoring 33.4 to 24.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

Llama 2-70B Meta

24.4

Rank #349 Confirmed

Qwen2.5-Coder-32B Alibaba (Qwen)

33.4

Rank #245 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Llama 2-70B scores higher in 1 category and Qwen2.5-Coder-32B in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen2.5-Coder-32B leads 33.4 to 7.4.

Side by side

Llama 2-70B and Qwen2.5-Coder-32B specifications
Llama 2-70BQwen2.5-Coder-32B
ProviderMetaAlibaba (Qwen)
Noometry Index24.433.4
Released2023-07-182024-09-18
WeightsOpenOpen
Context window—33K
Max output—29K
Input $ / M tokens—$0.66
Output $ / M tokens—$1
Results tracked3531

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Category by category

Coding Llama 2-70B leads

Llama 2-70B: 31.4 (#286), Qwen2.5-Coder-32B: 22.6 (#333)

Coding benchmarks
BenchmarkLlama 2-70BQwen2.5-Coder-32B
LMArena Coding10791276
SWE-bench Verified (bash only)—9%
Aider Polyglot—16.4%
BigCodeBench Instruct—49%
LiveBench Coding—56.9%
BigCodeBench Complete—58%
HumanEval+—87.2%
MBPP+—77%

Reasoning Qwen2.5-Coder-32B leads

Llama 2-70B: 14.4 (#325), Qwen2.5-Coder-32B: 21.2 (#225)

Reasoning benchmarks
BenchmarkLlama 2-70BQwen2.5-Coder-32B
LMArena Hard Prompts10731251
Epoch Capabilities Index113.79119.49
HellaSwag85.3%83%
WinoGrande80.2%80.8%
LiveBench Reasoning—42.1%
DTBench41.6%—
LiveBench Data Analysis—49.9%
BIG-Bench Hard64.9%—
CommonsenseQA 2.050%—
ForecastBench51.4—
LAMBADA78.9%—
LiveBench—46.2%
PIQA82.8%—

Math Qwen2.5-Coder-32B leads

Llama 2-70B: 8.1 (#326), Qwen2.5-Coder-32B: 33.3 (#204)

Math benchmarks
BenchmarkLlama 2-70BQwen2.5-Coder-32B
LMArena Math10911251
GSM8K69.6%93%
OTIS Mock AIME 2024-20250%—
LiveBench Math—46.6%
MATH Level 53.3%—

Knowledge Qwen2.5-Coder-32B leads

Llama 2-70B: 7.4 (#310), Qwen2.5-Coder-32B: 33.4 (#203)

Knowledge benchmarks
BenchmarkLlama 2-70BQwen2.5-Coder-32B
LMArena Expert10391221
ARC (AI2) Challenge78.3%70.5%
MMLU69.9%79.1%
GPQA Diamond26.3%—
BoolQ88.6%—
OpenBookQA60.2%—
TriviaQA87.6%—

Multilingual Qwen2.5-Coder-32B leads

Llama 2-70B: 27.7 (#274), Qwen2.5-Coder-32B: 37.8 (#235)

Multilingual benchmarks
BenchmarkLlama 2-70BQwen2.5-Coder-32B
LMArena Non-English10451205
LMArena Chinese9951222
LMArena Russian10831228
LMArena French1090—
LMArena German1041—
LMArena Japanese927—
LMArena Korean964—
LMArena Spanish1143—

Instruction Following Qwen2.5-Coder-32B leads

Llama 2-70B: 54.9 (#278), Qwen2.5-Coder-32B: 61.4 (#245)

Instruction Following benchmarks
BenchmarkLlama 2-70BQwen2.5-Coder-32B
LMArena Instruction Following10711223
LiveBench Instruction Following—58.7%

Long Context Qwen2.5-Coder-32B leads

Llama 2-70B: 32.3 (#270), Qwen2.5-Coder-32B: 38.0 (#208)

Long Context benchmarks
BenchmarkLlama 2-70BQwen2.5-Coder-32B
LMArena Longer Query10621251

Writing & Preference Qwen2.5-Coder-32B leads

Llama 2-70B: 32.3 (#279), Qwen2.5-Coder-32B: 41.6 (#240)

Writing & Preference benchmarks
BenchmarkLlama 2-70BQwen2.5-Coder-32B
LMArena Text11151230
LMArena Creative Writing10751174
LMArena Multi-Turn10881222
LiveBench Language—23.3%

Frequently asked questions

Is Llama 2-70B better than Qwen2.5-Coder-32B?

Qwen2.5-Coder-32B is the stronger model overall, scoring 33.4 to 24.4 on the Noometry Index.

Is Llama 2-70B or Qwen2.5-Coder-32B better for coding?

Llama 2-70B scores higher on coding benchmarks: 31.4 versus 22.6 in the Noometry coding category.

How many benchmarks do Llama 2-70B and Qwen2.5-Coder-32B share?

18 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Qwen2.5-Coder-32B has 31.

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