Model Comparison

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

Devstral Medium

Mistral AI

Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI'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.

Devstral Medium

Mistral AI

2025-07-10

GPT-5 Codex

OpenAI

2025-09-15

2 months newer

Performance Metrics

Context window and performance specifications

Devstral Medium

Larger context

Max Context:256.0K

GPT-5 Codex

Max Context:-

Average performance across 1 common benchmarks

Devstral Medium

Average Score:61.6%

GPT-5 Codex

+12.9%

Average Score:74.5%

Performance comparison across key benchmark categories

Devstral Medium

general

61.6%

GPT-5 Codex

general

+12.9%

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

Devstral Medium

1 providers

Mistral AI

Throughput: 137.1 tok/s

Latency: 0.23ms

GPT-5 Codex

0 providers

Devstral Medium

Avg Score:61.6%

Providers:1

GPT-5 Codex

+12.9%

Avg Score:74.5%

Providers:0