Model comparison

Claude Haiku 4.5 vs Llama 2-34B

Claude Haiku 4.5 has enough public results to be ranked (#155); Llama 2-34B does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

Claude Haiku 4.5 Anthropic

39.3

Rank #155 Confirmed

Llama 2-34B Meta

—

Unranked

Summary

  • They share 1 benchmark with published results for both.

Side by side

Claude Haiku 4.5 and Llama 2-34B specifications
Claude Haiku 4.5Llama 2-34B
ProviderAnthropicMeta
Noometry Index39.3—
Released2025-10-152023-07-18
WeightsProprietaryProprietary
Context window200K—
Max output64K—
Input $ / M tokens$1—
Output $ / M tokens$5—
Results tracked5310

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Category by category

Coding Not comparable

Claude Haiku 4.5: 43.9 (#71), Llama 2-34B: —

Coding benchmarks
BenchmarkClaude Haiku 4.5Llama 2-34B
SWE-bench Verified (bash only)66.6%—
LMArena WebDev1330—
SWE-bench Multilingual64.7%—
SciCode43.3%—
WeirdML45.4%—
LMArena Coding1454—
ALE-Bench653.48—

Agentic & Tool Use Not comparable

Claude Haiku 4.5: 33.5 (#50), Llama 2-34B: —

Agentic & Tool Use benchmarks
BenchmarkClaude Haiku 4.5Llama 2-34B
Terminal-Bench35.5%—
Berkeley Function Calling Leaderboard68.7%—
DeepResearch Bench45.5%—
BALROG31.2%—
ExploitBench13.7%—
Vending-Bench 2458.89—

Reasoning Not comparable

Claude Haiku 4.5: 15.1 (#310), Llama 2-34B: —

Reasoning benchmarks
BenchmarkClaude Haiku 4.5Llama 2-34B
Epoch Capabilities Index142.42104.81
ARC-AGI-24%—
NYT Connections (extended)14.3%—
ARC-AGI-147.7%—
CritPt0%—
Chess Puzzles8%—
LMArena Hard Prompts1420—
DTBench73.6%—
LMCA30.9%—
BIG-Bench Hard—44.1%
ForecastBench61.4—
PIQA—81.9%
WinoGrande—76.7%

Math Not comparable

Claude Haiku 4.5: 43.0 (#69), Llama 2-34B: —

Math benchmarks
BenchmarkClaude Haiku 4.5Llama 2-34B
OTIS Mock AIME 2024-202566.7%—
Omni-MATH56.1%—
LMArena Math1395—
MATH Level 596.4%—
FrontierMath (Feb 2025 set)5.9%—
FrontierMath Tier 4 (v1)2.1%—
GSM8K—42.2%

Knowledge Not comparable

Claude Haiku 4.5: 37.6 (#146), Llama 2-34B: —

Knowledge benchmarks
BenchmarkClaude Haiku 4.5Llama 2-34B
GPQA Diamond71.2%—
SimpleQA Verified13.2%—
MMLU-Pro77.7%—
Vectara Hallucination Rate9.8%—
GPQA (HELM)60.5%—
LMArena Expert1443—
ARC (AI2) Challenge—54.5%
BoolQ—83.7%
MMLU—62.6%
OpenBookQA—58.2%
TriviaQA—84.6%

Multimodal Not comparable

Claude Haiku 4.5: 27.0 (#111), Llama 2-34B: —

Multimodal benchmarks
BenchmarkClaude Haiku 4.5Llama 2-34B
Blueprint-Bench 20%—
LMArena Document1420—

Multilingual Not comparable

Claude Haiku 4.5: 50.1 (#124), Llama 2-34B: —

Multilingual benchmarks
BenchmarkClaude Haiku 4.5Llama 2-34B
LMArena Non-English1376—
LMArena Chinese1415—
LMArena French1408—
LMArena German1377—
LMArena Japanese1339—
LMArena Korean1346—
LMArena Russian1380—
LMArena Spanish1420—

Instruction Following Not comparable

Claude Haiku 4.5: 71.6 (#144), Llama 2-34B: —

Instruction Following benchmarks
BenchmarkClaude Haiku 4.5Llama 2-34B
IFEval80.1%—
LMArena Instruction Following1414—

Long Context Not comparable

Claude Haiku 4.5: 43.6 (#86), Llama 2-34B: —

Long Context benchmarks
BenchmarkClaude Haiku 4.5Llama 2-34B
LMArena Longer Query1427—

Writing & Preference Not comparable

Claude Haiku 4.5: 58.1 (#119), Llama 2-34B: —

Writing & Preference benchmarks
BenchmarkClaude Haiku 4.5Llama 2-34B
LMArena Text1396—
LMArena Creative Writing1371—
WildBench83.9%—
EQ-Bench 41064—
LMArena Multi-Turn1409—

Frequently asked questions

Is Claude Haiku 4.5 better than Llama 2-34B?

Claude Haiku 4.5 has enough public results to be ranked (#155); Llama 2-34B does not yet, so treat this comparison as directional.

How many benchmarks do Claude Haiku 4.5 and Llama 2-34B share?

1 benchmark has published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Llama 2-34B has 10.

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