Noometry

Model comparison

Claude 3 Haiku vs Llama 3.2 1B

Claude 3 Haiku is the stronger model overall, scoring 25.9 to 20.1 on the Noometry Index.

Last verified . 19 shared benchmarks.

Claude 3 Haiku Anthropic

25.9

Rank #340 Confirmed

Llama 3.2 1B Meta

20.1

Rank #354 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Claude 3 Haiku scores higher in 7 categories and Llama 3.2 1B in 1 category; 6 gaps are clear of the uncertainty.
  • The widest gap is in multilingual, where Claude 3 Haiku leads 36.0 to 23.8.
  • The biggest single-benchmark swing is BigCodeBench Complete: 50.1% for Claude 3 Haiku and 11.3% for Llama 3.2 1B.
  • Llama 3.2 1B has downloadable open weights; the other is API-only.

Side by side

Claude 3 HaikuLlama 3.2 1B
ProviderAnthropicMeta
Noometry Index25.920.1
Released2024-03-072024-09-24
WeightsProprietaryOpen
Context window—60K
Max output—54K
Input $ / M tokens—$0.027
Output $ / M tokens—$0.20
Results tracked3722

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Category by category

Coding Claude 3 Haiku leads

Claude 3 Haiku: 26.4 (#325), Llama 3.2 1B: 21.1 (#338)

BenchmarkClaude 3 HaikuLlama 3.2 1B
BigCodeBench Instruct39.4%8.2%
LMArena Coding11991070
BigCodeBench Complete50.1%11.3%
WeirdML9.8%—
CadEval12%—
HumanEval+68.9%—
MBPP+68.8%—

Agentic & Tool Use Not comparable

Claude 3 Haiku: —, Llama 3.2 1B: 14.6 (#150)

BenchmarkClaude 3 HaikuLlama 3.2 1B
Berkeley Function Calling Leaderboard—10.8%
BALROG—6.6%

Reasoning Too close to call

Claude 3 Haiku: 16.3 (#307), Llama 3.2 1B: 16.2 (#308)

BenchmarkClaude 3 HaikuLlama 3.2 1B
LMArena Hard Prompts11741044
Epoch Capabilities Index118.35101.99
Kagi LLM Benchmark34.2%—
Chess Puzzles—0%
DTBench50.1%—
LMCA8.8%—
ForecastBench53.2—
WinoGrande74.2%—

Math Too close to call

Claude 3 Haiku: 9.8 (#319), Llama 3.2 1B: 10.4 (#313)

BenchmarkClaude 3 HaikuLlama 3.2 1B
OTIS Mock AIME 2024-20251.8%0.6%
LMArena Math11881086
MATH Level 514.9%—

Knowledge Claude 3 Haiku leads

Claude 3 Haiku: 17.3 (#285), Llama 3.2 1B: 7.2 (#312)

BenchmarkClaude 3 HaikuLlama 3.2 1B
GPQA Diamond36.3%23.9%
LMArena Expert11481007
Confabulations34.2%—
MMLU73.8%—

Multimodal Not comparable

Claude 3 Haiku: 23.6 (#128), Llama 3.2 1B: —

BenchmarkClaude 3 HaikuLlama 3.2 1B
LMArena Vision950—
ScienceQA72%—

Multilingual Claude 3 Haiku leads

Claude 3 Haiku: 36.0 (#243), Llama 3.2 1B: 23.8 (#292)

BenchmarkClaude 3 HaikuLlama 3.2 1B
LMArena Non-English1178973
LMArena Chinese1155959
LMArena German11741014
LMArena Russian1204941
LMArena French1195—
LMArena Japanese1102—
LMArena Korean1109—
LMArena Spanish1166—

Instruction Following Claude 3 Haiku leads

Claude 3 Haiku: 61.3 (#247), Llama 3.2 1B: 52.4 (#290)

BenchmarkClaude 3 HaikuLlama 3.2 1B
LMArena Instruction Following11731031

Long Context Claude 3 Haiku leads

Claude 3 Haiku: 36.1 (#237), Llama 3.2 1B: 31.9 (#274)

BenchmarkClaude 3 HaikuLlama 3.2 1B
LMArena Longer Query11901050

Writing & Preference Claude 3 Haiku leads

Claude 3 Haiku: 29.7 (#291), Llama 3.2 1B: 21.3 (#310)

BenchmarkClaude 3 HaikuLlama 3.2 1B
LMArena Text11951055
LMArena Creative Writing11571033
EQ-Bench Creative Writing717200
LMArena Multi-Turn11901030

Frequently asked questions

Is Claude 3 Haiku better than Llama 3.2 1B?

Claude 3 Haiku is the stronger model overall, scoring 25.9 to 20.1 on the Noometry Index.

Is Claude 3 Haiku or Llama 3.2 1B better for coding?

Claude 3 Haiku scores higher on coding benchmarks: 26.4 versus 21.1 in the Noometry coding category.

How many benchmarks do Claude 3 Haiku and Llama 3.2 1B share?

19 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and Llama 3.2 1B has 22.

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