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Model Comparison

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

OpenAI

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.

Mistral AI

Mistral Small 3.1 24B Base

Mistral AI

Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Mistral Small 3.1 24B Base

Mistral AI

2025-03-17

OpenAI

GPT-5 Codex

OpenAI

2025-09-15

6 months newer

Performance Metrics

Context window and performance specifications

OpenAI

GPT-5 Codex

Max Context:-
Mistral AI

Mistral Small 3.1 24B Base

Larger context
Max Context:256.0K
Parameters:24.0B

Performance comparison across key benchmark categories

OpenAI

GPT-5 Codex

general
+10.7%
74.5%
Mistral AI

Mistral Small 3.1 24B Base

general
63.8%
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

OpenAI

GPT-5 Codex

0 providers
Mistral AI

Mistral Small 3.1 24B Base

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
OpenAI

GPT-5 Codex

Avg Score:0.0%
Providers:0
Mistral AI

Mistral Small 3.1 24B Base

Avg Score:0.0%
Providers:1