Auto-generated comparison

Mistral: Devstral 2 2512 vs OpenAI: GPT-5 Mini

OpenAI: GPT-5 Mini wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMistral: Devstral 2 2512OpenAI: GPT-5 MiniWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
262K400K🏆 OpenAI: GPT-5 Mini
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.40$0.25🏆 OpenAI: GPT-5 Mini
Output price (per 1M)
Cost per million output tokens billed by the provider.
$2.00$2.00Tie
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 OpenAI: GPT-5 Mini
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 OpenAI: GPT-5 Mini

Frequently asked questions

Is Mistral: Devstral 2 2512 better than OpenAI: GPT-5 Mini?

OpenAI: GPT-5 Mini wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Mistral: Devstral 2 2512 and OpenAI: GPT-5 Mini?

Input: $0.40 vs $0.25 per 1M tokens. Output: $2.00 vs $2.00 per 1M tokens.

What context windows do Mistral: Devstral 2 2512 and OpenAI: GPT-5 Mini support?

Mistral: Devstral 2 2512 supports up to 262K tokens. OpenAI: GPT-5 Mini supports up to 400K tokens.

Do both Mistral: Devstral 2 2512 and OpenAI: GPT-5 Mini support tool calling?

Mistral: Devstral 2 2512: yes. OpenAI: GPT-5 Mini: yes.

Compare Mistral: Devstral 2 2512 with other models

Compare OpenAI: GPT-5 Mini with other models