Model comparison

Llama 3-70B vs Qwen3.5 27B

Qwen3.5 27B is the stronger model overall, scoring 41.9 to 28.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

Llama 3-70B Meta

28.8

Rank #323 Confirmed

Qwen3.5 27B Alibaba (Qwen)

41.9

Rank #127 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Llama 3-70B scores higher in 0 categories and Qwen3.5 27B in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.5 27B leads 38.8 to 12.8.
  • The biggest single-benchmark swing is DTBench: 54.2% for Llama 3-70B and 82.4% for Qwen3.5 27B.

Side by side

Llama 3-70B and Qwen3.5 27B specifications
Llama 3-70BQwen3.5 27B
ProviderMetaAlibaba (Qwen)
Noometry Index28.841.9
Released2024-04-182026-02-23
WeightsOpenOpen
Context window—262K
Max output—66K
Input $ / M tokens—$0.30
Output $ / M tokens—$2.40
Results tracked3128

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Category by category

Coding Qwen3.5 27B leads

Llama 3-70B: 35.8 (#218), Qwen3.5 27B: 38.9 (#168)

Coding benchmarks
BenchmarkLlama 3-70BQwen3.5 27B
LMArena Coding12061427
LMArena WebDev—1358
WeirdML—39.5%
BigCodeBench Instruct43.6%—
BigCodeBench Complete54.5%—
ALE-Bench—349.45
HumanEval+72%—
MBPP+69%—

Agentic & Tool Use Not comparable

Llama 3-70B: 21.1 (#139), Qwen3.5 27B: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3-70BQwen3.5 27B
Cybench5%—
Vending-Bench 2—201.98

Reasoning Qwen3.5 27B leads

Llama 3-70B: 18.0 (#288), Qwen3.5 27B: 27.5 (#117)

Reasoning benchmarks
BenchmarkLlama 3-70BQwen3.5 27B
LMArena Hard Prompts11951414
DTBench54.2%82.4%
Kagi LLM Benchmark35.1%—
NYT Connections (extended)—47.9%
Thematic Generalization—45.5%
LMCA—34%
Epoch Capabilities Index122.93—
ForecastBench57.1—
WinoGrande83.5%—

Math Qwen3.5 27B leads

Llama 3-70B: 12.8 (#305), Qwen3.5 27B: 38.8 (#127)

Math benchmarks
BenchmarkLlama 3-70BQwen3.5 27B
LMArena Math12181429
MathArena Final-Answer Competitions—56.7%
OTIS Mock AIME 2024-20254.3%—
MATH Level 522.6%—

Knowledge Qwen3.5 27B leads

Llama 3-70B: 20.8 (#277), Qwen3.5 27B: 38.0 (#150)

Knowledge benchmarks
BenchmarkLlama 3-70BQwen3.5 27B
LMArena Expert11491428
GPQA Diamond40.6%—
Vectara Hallucination Rate—12.1%
MMLU79.3%—

Multimodal Not comparable

Llama 3-70B: —, Qwen3.5 27B: 39.4 (#59)

Multimodal benchmarks
BenchmarkLlama 3-70BQwen3.5 27B
LMArena Vision—1241

Multilingual Qwen3.5 27B leads

Llama 3-70B: 33.6 (#251), Qwen3.5 27B: 50.8 (#115)

Multilingual benchmarks
BenchmarkLlama 3-70BQwen3.5 27B
LMArena Non-English11421390
LMArena Chinese11141478
LMArena French12321410
LMArena German11691393
LMArena Japanese10171345
LMArena Korean10171358
LMArena Russian11591390
LMArena Spanish12411407

Instruction Following Qwen3.5 27B leads

Llama 3-70B: 62.5 (#238), Qwen3.5 27B: 73.5 (#119)

Instruction Following benchmarks
BenchmarkLlama 3-70BQwen3.5 27B
LMArena Instruction Following11941393

Long Context Qwen3.5 27B leads

Llama 3-70B: 35.6 (#240), Qwen3.5 27B: 43.1 (#106)

Long Context benchmarks
BenchmarkLlama 3-70BQwen3.5 27B
LMArena Longer Query11741413

Writing & Preference Qwen3.5 27B leads

Llama 3-70B: 42.8 (#231), Qwen3.5 27B: 59.3 (#111)

Writing & Preference benchmarks
BenchmarkLlama 3-70BQwen3.5 27B
LMArena Text12211409
LMArena Creative Writing12101362
LMArena Multi-Turn12231410

Frequently asked questions

Is Llama 3-70B better than Qwen3.5 27B?

Qwen3.5 27B is the stronger model overall, scoring 41.9 to 28.8 on the Noometry Index.

Is Llama 3-70B or Qwen3.5 27B better for coding?

Qwen3.5 27B scores higher on coding benchmarks: 38.9 versus 35.8 in the Noometry coding category.

How many benchmarks do Llama 3-70B and Qwen3.5 27B share?

18 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Qwen3.5 27B has 28.

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