Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/ne…
Model details →Mistral: Codestral 2508 vs OpenAI: GPT-5 Nano
OpenAI: GPT-5 Nano wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger counterparts, it retains key …
Model details →Side-by-side comparison
| Capability | Mistral: Codestral 2508 | OpenAI: GPT-5 Nano | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 400K | 🏆 OpenAI: GPT-5 Nano |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.30 | $0.05 | 🏆 OpenAI: GPT-5 Nano |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.90 | $0.40 | 🏆 OpenAI: GPT-5 Nano |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 OpenAI: GPT-5 Nano |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 OpenAI: GPT-5 Nano |
Frequently asked questions
Is Mistral: Codestral 2508 better than OpenAI: GPT-5 Nano?
OpenAI: GPT-5 Nano wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Mistral: Codestral 2508 and OpenAI: GPT-5 Nano?
Input: $0.30 vs $0.05 per 1M tokens. Output: $0.90 vs $0.40 per 1M tokens.
What context windows do Mistral: Codestral 2508 and OpenAI: GPT-5 Nano support?
Mistral: Codestral 2508 supports up to 256K tokens. OpenAI: GPT-5 Nano supports up to 400K tokens.
Do both Mistral: Codestral 2508 and OpenAI: GPT-5 Nano support tool calling?
Mistral: Codestral 2508: yes. OpenAI: GPT-5 Nano: yes.