Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
Model details →Mistral: Mistral Medium 3.5 vs OpenAI: GPT-5.2
Mistral: Mistral Medium 3.5 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...
Model details →Side-by-side comparison
| Capability | Mistral: Mistral Medium 3.5 | OpenAI: GPT-5.2 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 400K | 🏆 OpenAI: GPT-5.2 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $1.50 | $1.75 | 🏆 Mistral: Mistral Medium 3.5 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $7.50 | $14.00 | 🏆 Mistral: Mistral Medium 3.5 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Mistral: Mistral Medium 3.5 better than OpenAI: GPT-5.2?
Mistral: Mistral Medium 3.5 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Mistral: Mistral Medium 3.5 and OpenAI: GPT-5.2?
Input: $1.50 vs $1.75 per 1M tokens. Output: $7.50 vs $14.00 per 1M tokens.
What context windows do Mistral: Mistral Medium 3.5 and OpenAI: GPT-5.2 support?
Mistral: Mistral Medium 3.5 supports up to 262K tokens. OpenAI: GPT-5.2 supports up to 400K tokens.
Do both Mistral: Mistral Medium 3.5 and OpenAI: GPT-5.2 support tool calling?
Mistral: Mistral Medium 3.5: yes. OpenAI: GPT-5.2: yes.
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