Noometry

Model comparison

Claude 3 Haiku vs Llama 3.2 3B

Llama 3.2 3B is the stronger model overall, scoring 28.9 to 25.9 on the Noometry Index.

Last verified . 16 shared benchmarks.

Claude 3 Haiku Anthropic

25.9

Rank #340 Confirmed

Llama 3.2 3B Meta

28.9

Rank #321 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Claude 3 Haiku scores higher in 4 categories and Llama 3.2 3B in 4 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Llama 3.2 3B leads 32.4 to 9.8.
  • The biggest single-benchmark swing is BigCodeBench Complete: 50.1% for Claude 3 Haiku and 28.3% for Llama 3.2 3B.
  • Llama 3.2 3B has downloadable open weights; the other is API-only.

Side by side

Claude 3 HaikuLlama 3.2 3B
ProviderAnthropicMeta
Noometry Index25.928.9
Released2024-03-072024-09-24
WeightsProprietaryOpen
Context window—131K
Max output—118K
Input $ / M tokens—$0.05
Output $ / M tokens—$0.33
Results tracked3718

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Category by category

Coding Llama 3.2 3B leads

Claude 3 Haiku: 26.4 (#325), Llama 3.2 3B: 27.6 (#319)

BenchmarkClaude 3 HaikuLlama 3.2 3B
BigCodeBench Instruct39.4%23.4%
LMArena Coding11991098
BigCodeBench Complete50.1%28.3%
WeirdML9.8%—
CadEval12%—
HumanEval+68.9%—
MBPP+68.8%—

Agentic & Tool Use Not comparable

Claude 3 Haiku: —, Llama 3.2 3B: 20.1 (#143)

BenchmarkClaude 3 HaikuLlama 3.2 3B
Berkeley Function Calling Leaderboard—21.9%
BALROG—10.1%

Reasoning Llama 3.2 3B leads

Claude 3 Haiku: 16.3 (#307), Llama 3.2 3B: 21.0 (#228)

BenchmarkClaude 3 HaikuLlama 3.2 3B
LMArena Hard Prompts11741095
Kagi LLM Benchmark34.2%—
DTBench50.1%—
LMCA8.8%—
Epoch Capabilities Index118.35—
ForecastBench53.2—
WinoGrande74.2%—

Math Llama 3.2 3B leads

Claude 3 Haiku: 9.8 (#319), Llama 3.2 3B: 32.4 (#214)

BenchmarkClaude 3 HaikuLlama 3.2 3B
LMArena Math11881126
OTIS Mock AIME 2024-20251.8%—
MATH Level 514.9%—

Knowledge Llama 3.2 3B leads

Claude 3 Haiku: 17.3 (#285), Llama 3.2 3B: 29.7 (#235)

BenchmarkClaude 3 HaikuLlama 3.2 3B
LMArena Expert11481090
GPQA Diamond36.3%—
Confabulations34.2%—
MMLU73.8%—

Multimodal Not comparable

Claude 3 Haiku: 23.6 (#128), Llama 3.2 3B: —

BenchmarkClaude 3 HaikuLlama 3.2 3B
LMArena Vision950—
ScienceQA72%—

Multilingual Claude 3 Haiku leads

Claude 3 Haiku: 36.0 (#243), Llama 3.2 3B: 26.2 (#281)

BenchmarkClaude 3 HaikuLlama 3.2 3B
LMArena Non-English11781019
LMArena Chinese11551017
LMArena German11741056
LMArena Russian1204949
LMArena French1195—
LMArena Japanese1102—
LMArena Korean1109—
LMArena Spanish1166—

Instruction Following Claude 3 Haiku leads

Claude 3 Haiku: 61.3 (#247), Llama 3.2 3B: 56.0 (#275)

BenchmarkClaude 3 HaikuLlama 3.2 3B
LMArena Instruction Following11731089

Long Context Claude 3 Haiku leads

Claude 3 Haiku: 36.1 (#237), Llama 3.2 3B: 33.4 (#261)

BenchmarkClaude 3 HaikuLlama 3.2 3B
LMArena Longer Query11901100

Writing & Preference Claude 3 Haiku leads

Claude 3 Haiku: 29.7 (#291), Llama 3.2 3B: 24.7 (#307)

BenchmarkClaude 3 HaikuLlama 3.2 3B
LMArena Text11951110
LMArena Creative Writing11571094
EQ-Bench Creative Writing717595
LMArena Multi-Turn11901105

Frequently asked questions

Is Claude 3 Haiku better than Llama 3.2 3B?

Llama 3.2 3B is the stronger model overall, scoring 28.9 to 25.9 on the Noometry Index.

Is Claude 3 Haiku or Llama 3.2 3B better for coding?

Llama 3.2 3B scores higher on coding benchmarks: 27.6 versus 26.4 in the Noometry coding category.

How many benchmarks do Claude 3 Haiku and Llama 3.2 3B share?

16 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and Llama 3.2 3B has 18.

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