Model comparison

Claude Haiku 5.5 vs Llama 3.1-405B

Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 30.7 on the Noometry Index.

Last verified . 2 shared benchmarks.

Claude Haiku 5.5 Anthropic

49.5

Rank #52 Confirmed

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Claude Haiku 5.5 scores higher in 4 categories and Llama 3.1-405B in 0 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in math, where Claude Haiku 5.5 leads 73.6 to 18.4.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Claude Haiku 5.5 and 9.7% for Llama 3.1-405B.
  • Llama 3.1-405B has downloadable open weights; the other is API-only.

Side by side

Claude Haiku 5.5 and Llama 3.1-405B specifications
Claude Haiku 5.5Llama 3.1-405B
ProviderAnthropicMeta
Noometry Index49.530.7
Released2026-10-072024-07-23
WeightsProprietaryOpen
Context window1M—
Max output128K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.50—
Results tracked942

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Category by category

Coding Claude Haiku 5.5 leads

Claude Haiku 5.5: 49.2 (#50), Llama 3.1-405B: 33.1 (#262)

Coding benchmarks
BenchmarkClaude Haiku 5.5Llama 3.1-405B
LMArena WebDev1587—
WeirdML—21.4%
LMArena Coding—1291

Agentic & Tool Use Not comparable

Claude Haiku 5.5: —, Llama 3.1-405B: 21.0 (#140)

Agentic & Tool Use benchmarks
BenchmarkClaude Haiku 5.5Llama 3.1-405B
TheAgentCompany—7.4%
Cybench—7.5%

Reasoning Claude Haiku 5.5 leads

Claude Haiku 5.5: 35.2 (#69), Llama 3.1-405B: 16.8 (#300)

Reasoning benchmarks
BenchmarkClaude Haiku 5.5Llama 3.1-405B
SimpleBench—23%
Kagi LLM Benchmark—45%
NYT Connections (extended)65.7%—
LMArena Hard Prompts—1269
Mystery Game Puzzles30%—
DTBench—61.4%
BIG-Bench Hard—82.9%
Epoch Capabilities Index—128.75
ForecastBench—59.9
HellaSwag—89.2%
PIQA—85.9%
WinoGrande—89.2%

Math Claude Haiku 5.5 leads

Claude Haiku 5.5: 73.6 (#18), Llama 3.1-405B: 18.4 (#290)

Math benchmarks
BenchmarkClaude Haiku 5.5Llama 3.1-405B
OTIS Mock AIME 2024-202598.9%9.7%
FrontierMath (Tiers 1-3)75.1%—
FrontierMath Tier 446.3%—
Omni-MATH—24.9%
LMArena Math—1281
MATH Level 5—49.8%

Knowledge Claude Haiku 5.5 leads

Claude Haiku 5.5: 50.8 (#70), Llama 3.1-405B: 30.4 (#227)

Knowledge benchmarks
BenchmarkClaude Haiku 5.5Llama 3.1-405B
GPQA Diamond89.6%50.9%
SimpleQA Verified23.8%—
MMLU-Pro—72.3%
Confabulations—17.6%
GPQA (HELM)—52.2%
LMArena Expert—1243
ARC (AI2) Challenge—95.3%
MMLU—84.5%
TriviaQA—82.7%

Multimodal Not comparable

Claude Haiku 5.5: 43.7 (#21), Llama 3.1-405B: —

Multimodal benchmarks
BenchmarkClaude Haiku 5.5Llama 3.1-405B
Furniture Assembly47.5%—

Multilingual Not comparable

Claude Haiku 5.5: —, Llama 3.1-405B: 40.7 (#214)

Multilingual benchmarks
BenchmarkClaude Haiku 5.5Llama 3.1-405B
LMArena Non-English—1248
LMArena Chinese—1242
LMArena French—1279
LMArena German—1252
LMArena Japanese—1208
LMArena Korean—1184
LMArena Russian—1265
LMArena Spanish—1260

Instruction Following Not comparable

Claude Haiku 5.5: —, Llama 3.1-405B: 65.9 (#214)

Instruction Following benchmarks
BenchmarkClaude Haiku 5.5Llama 3.1-405B
IFEval—81.1%
LMArena Instruction Following—1259

Long Context Not comparable

Claude Haiku 5.5: —, Llama 3.1-405B: 38.4 (#197)

Long Context benchmarks
BenchmarkClaude Haiku 5.5Llama 3.1-405B
LMArena Longer Query—1266

Writing & Preference Not comparable

Claude Haiku 5.5: —, Llama 3.1-405B: 38.9 (#251)

Writing & Preference benchmarks
BenchmarkClaude Haiku 5.5Llama 3.1-405B
LMArena Text—1284
LMArena Creative Writing—1262
EQ-Bench Creative Writing—870
WildBench—78.3%
LMArena Multi-Turn—1297

Frequently asked questions

Is Claude Haiku 5.5 better than Llama 3.1-405B?

Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 30.7 on the Noometry Index.

Is Claude Haiku 5.5 or Llama 3.1-405B better for coding?

Claude Haiku 5.5 scores higher on coding benchmarks: 49.2 versus 33.1 in the Noometry coding category.

How many benchmarks do Claude Haiku 5.5 and Llama 3.1-405B share?

2 benchmarks have published results for both models. Claude Haiku 5.5 has 9 scored results on Noometry and Llama 3.1-405B has 42.

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