Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Claude 3.5 Haiku

Anthropic

Claude 3.5 Haiku is a language model developed by Anthropic. It achieves strong performance with an average score of 60.8% across 9 benchmarks. It excels particularly in HumanEval (88.1%), MGSM (85.6%), DROP (83.1%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. Released in 2024, it represents Anthropic's latest advancement in AI technology.

GPT-5 Codex

OpenAI

GPT-5 Codex is a language model developed by OpenAI. It achieves strong performance with an average score of 74.5% across 1 benchmarks. Notable strengths include SWE-Bench Verified (74.5%). Released in 2025, it represents OpenAI's latest advancement in AI technology.

Claude 3.5 Haiku

Anthropic

2024-10-22

GPT-5 Codex

OpenAI

2025-09-15

10 months newer

Performance Metrics

Context window and performance specifications

Claude 3.5 Haiku

Larger context

Max Context:400.0K

GPT-5 Codex

Max Context:-

Average performance across 1 common benchmarks

Claude 3.5 Haiku

Average Score:40.6%

GPT-5 Codex

+33.9%

Average Score:74.5%

Performance comparison across key benchmark categories

Claude 3.5 Haiku

general

57.6%

GPT-5 Codex

general

+16.9%

74.5%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

GPT-5 Codex

2024-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Claude 3.5 Haiku

3 providers

Google

Throughput: 42 tok/s

Latency: 0.4ms

Anthropic

Throughput: 100 tok/s

Latency: 0.3ms

Bedrock

Throughput: 104 tok/s

Latency: 0.5ms

GPT-5 Codex

0 providers

Claude 3.5 Haiku

Avg Score:40.6%

Providers:3

GPT-5 Codex

+33.9%

Avg Score:74.5%

Providers:0