Codestral-22B vs GPT-4.5
GPT-4.5 leads the LLM Stats Score 20.2 to 0.0.
Mistral AI · OpenAI · Updated for 2026
Which is better?
GPT-4.5 leads the overall LLM Stats Score 20.2 to 0.0, ranking #202 overall.
In the 1 individual benchmarks reported for both models, GPT-4.5 wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Codestral-22B
- you need open weights you can self-host or fine-tune
Choose GPT-4.5
- overall performance matters — it scores 20.2 and ranks #202 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Feb 2025
At a glance
The differences that matter most.
Individual benchmarks
7 reported for Codestral-22B · 26 for GPT-4.5
Codestral-22B outperforms in 0 benchmarks, while GPT-4.5 is better at 1 benchmark (HumanEval).
GPT-4.5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only GPT-4.5 specifies input context (128,000 tokens). Only GPT-4.5 specifies output context (4,096 tokens).
Input capabilities
Documented input modalities across available providers
GPT-4.5 supports multimodal inputs, whereas Codestral-22B does not.
GPT-4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Codestral-22B
GPT-4.5
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while GPT-4.5 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while GPT-4.5 was released on 2025-02-27.
GPT-4.5 is 9 months newer than Codestral-22B.
May 29, 2024
2.3 years ago
Feb 27, 2025
1.6 years ago
9mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Codestral-22B and GPT-4.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Codestral-22B vs GPT-4.5.