Noometry

Model comparison

Llama 3-70B vs Qwen3.5-Flash

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 28.8 on the Noometry Index.

Last verified . 21 shared benchmarks.

Llama 3-70B Meta

28.8

Rank #323 Confirmed

Qwen3.5-Flash Alibaba (Qwen)

42.5

Rank #112 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Llama 3-70B scores higher in 1 category and Qwen3.5-Flash in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.5-Flash leads 37.4 to 12.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Llama 3-70B and 84.4% for Qwen3.5-Flash.
  • Llama 3-70B has downloadable open weights; the other is API-only.

Side by side

Llama 3-70BQwen3.5-Flash
ProviderMetaAlibaba (Qwen)
Noometry Index28.842.5
Released2024-04-182026-02-23
WeightsOpenProprietary
Context window—1M
Max output—66K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.40
Results tracked3132

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Category by category

Coding Llama 3-70B leads

Llama 3-70B: 35.8 (#218), Qwen3.5-Flash: 34.2 (#242)

BenchmarkLlama 3-70BQwen3.5-Flash
LMArena Coding12061412
LMArena WebDev—1244
BigCodeBench Instruct43.6%—
BigCodeBench Complete54.5%—
ALE-Bench—221.8
HumanEval+72%—
MBPP+69%—

Agentic & Tool Use Not comparable

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

BenchmarkLlama 3-70BQwen3.5-Flash
Cybench5%—
Vending-Bench 2—462.69

Reasoning Qwen3.5-Flash leads

Llama 3-70B: 18.0 (#288), Qwen3.5-Flash: 33.7 (#72)

BenchmarkLlama 3-70BQwen3.5-Flash
LMArena Hard Prompts11951403
DTBench54.2%82.9%
Epoch Capabilities Index122.93143.98
Kagi LLM Benchmark35.1%—
Chess Puzzles—21%
Mystery Game Puzzles—20%
LMCA—29.1%
ForecastBench57.1—
WinoGrande83.5%—

Math Qwen3.5-Flash leads

Llama 3-70B: 12.8 (#305), Qwen3.5-Flash: 37.4 (#158)

BenchmarkLlama 3-70BQwen3.5-Flash
OTIS Mock AIME 2024-20254.3%84.4%
LMArena Math12181407
FrontierMath (Tiers 1-3)—18.2%
MATH Level 522.6%—
FrontierMath (Feb 2025 set)—6.2%
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3.5-Flash leads

Llama 3-70B: 20.8 (#277), Qwen3.5-Flash: 43.2 (#93)

BenchmarkLlama 3-70BQwen3.5-Flash
GPQA Diamond40.6%82.3%
LMArena Expert11491407
SimpleQA Verified—20.3%
Vectara Hallucination Rate—10.5%
MMLU79.3%—

Multilingual Qwen3.5-Flash leads

Llama 3-70B: 33.6 (#251), Qwen3.5-Flash: 50.5 (#121)

BenchmarkLlama 3-70BQwen3.5-Flash
LMArena Non-English11421385
LMArena Chinese11141446
LMArena French12321412
LMArena German11691390
LMArena Japanese10171368
LMArena Korean10171344
LMArena Russian11591379
LMArena Spanish12411400

Instruction Following Qwen3.5-Flash leads

Llama 3-70B: 62.5 (#238), Qwen3.5-Flash: 72.6 (#139)

BenchmarkLlama 3-70BQwen3.5-Flash
LMArena Instruction Following11941374

Long Context Qwen3.5-Flash leads

Llama 3-70B: 35.6 (#240), Qwen3.5-Flash: 42.4 (#124)

BenchmarkLlama 3-70BQwen3.5-Flash
LMArena Longer Query11741392

Writing & Preference Qwen3.5-Flash leads

Llama 3-70B: 42.8 (#231), Qwen3.5-Flash: 57.9 (#122)

BenchmarkLlama 3-70BQwen3.5-Flash
LMArena Text12211397
LMArena Creative Writing12101343
LMArena Multi-Turn12231393

Frequently asked questions

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

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 28.8 on the Noometry Index.

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

Llama 3-70B scores higher on coding benchmarks: 35.8 versus 34.2 in the Noometry coding category.

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

21 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Qwen3.5-Flash has 32.

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