Noometry

Model comparison

Claude 3.5 Haiku vs GPT-5-Codex

GPT-5-Codex is the stronger model overall, scoring 37.9 to 29.2 on the Noometry Index.

Last verified . 1 shared benchmarks.

Claude 3.5 Haiku Anthropic

29.2

Rank #315 Confirmed

GPT-5-Codex OpenAI

37.9

Rank #192 Reported

Summary

  • They share 1 benchmark with published results for both. Claude 3.5 Haiku scores higher in 0 categories and GPT-5-Codex in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 17.7.
  • The biggest single-benchmark swing is WeirdML: 30.7% for Claude 3.5 Haiku and 54.5% for GPT-5-Codex.

Side by side

Claude 3.5 HaikuGPT-5-Codex
ProviderAnthropicOpenAI
Noometry Index29.237.9
Released2024-10-222025-09-15
WeightsProprietaryProprietary
Context window—400K
Max output—128K
Input $ / M tokens—$1.25
Output $ / M tokens—$10
Results tracked493

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Category by category

Coding GPT-5-Codex leads

Claude 3.5 Haiku: 32.9 (#265), GPT-5-Codex: 42.4 (#103)

BenchmarkClaude 3.5 HaikuGPT-5-Codex
WeirdML30.7%54.5%
Aider Polyglot28%—
SciCode27.4%—
BigCodeBench Instruct46.1%—
LiveBench Coding51.4%—
LMArena Coding1286—
BigCodeBench Complete59%—
CadEval32%—

Agentic & Tool Use GPT-5-Codex leads

Claude 3.5 Haiku: 28.0 (#95), GPT-5-Codex: 31.0 (#72)

BenchmarkClaude 3.5 HaikuGPT-5-Codex
Terminal-Bench—44.3%
BALROG19.3%—

Reasoning GPT-5-Codex leads

Claude 3.5 Haiku: 17.7 (#290), GPT-5-Codex: 30.9 (#83)

BenchmarkClaude 3.5 HaikuGPT-5-Codex
Kagi LLM Benchmark—70.3%
CritPt0%—
LiveBench Reasoning28.1%—
LMArena Hard Prompts1251—
DTBench56.7%—
LiveBench Data Analysis48.5%—
Epoch Capabilities Index127.15—
LiveBench43.5%—

Math Not comparable

Claude 3.5 Haiku: 14.7 (#300), GPT-5-Codex: —

BenchmarkClaude 3.5 HaikuGPT-5-Codex
OTIS Mock AIME 2024-20254.3%—
Omni-MATH22.4%—
LiveBench Math35.5%—
LMArena Math1244—
MATH Level 546.4%—
FrontierMath (Feb 2025 set)0.3%—

Knowledge Not comparable

Claude 3.5 Haiku: 18.7 (#281), GPT-5-Codex: —

BenchmarkClaude 3.5 HaikuGPT-5-Codex
GPQA Diamond38.1%—
MMLU-Pro60.5%—
Confabulations36.7%—
GPQA (HELM)36.3%—
LMArena Expert1208—
MMLU74.3%—

Multimodal Not comparable

Claude 3.5 Haiku: 26.8 (#117), GPT-5-Codex: —

BenchmarkClaude 3.5 HaikuGPT-5-Codex
LMArena Vision1092—
GeoBench34%—

Multilingual Not comparable

Claude 3.5 Haiku: 40.0 (#218), GPT-5-Codex: —

BenchmarkClaude 3.5 HaikuGPT-5-Codex
LMArena Non-English1238—
LMArena Chinese1229—
LMArena French1264—
LMArena German1237—
LMArena Japanese1175—
LMArena Korean1173—
LMArena Russian1253—
LMArena Spanish1261—

Instruction Following Not comparable

Claude 3.5 Haiku: 62.9 (#234), GPT-5-Codex: —

BenchmarkClaude 3.5 HaikuGPT-5-Codex
LiveBench Instruction Following61.9%—
IFEval79.2%—
LMArena Instruction Following1241—

Long Context Not comparable

Claude 3.5 Haiku: 38.3 (#200), GPT-5-Codex: —

BenchmarkClaude 3.5 HaikuGPT-5-Codex
LMArena Longer Query1261—

Writing & Preference Not comparable

Claude 3.5 Haiku: 42.7 (#234), GPT-5-Codex: —

BenchmarkClaude 3.5 HaikuGPT-5-Codex
LMArena Text1255—
LMArena Creative Writing1233—
Short-Story Creative Writing73.5%—
EQ-Bench Creative Writing1146—
WildBench76%—
LMArena Multi-Turn1265—
LiveBench Language35.4%—

Frequently asked questions

Is Claude 3.5 Haiku better than GPT-5-Codex?

GPT-5-Codex is the stronger model overall, scoring 37.9 to 29.2 on the Noometry Index.

Is Claude 3.5 Haiku or GPT-5-Codex better for coding?

GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 32.9 in the Noometry coding category.

How many benchmarks do Claude 3.5 Haiku and GPT-5-Codex share?

1 benchmark has published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and GPT-5-Codex has 3.

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