Auto-generated comparison

Mistral: Mistral Small 3.2 24B vs OpenAI: GPT-5 Nano (batch)

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

Side-by-side comparison

CapabilityMistral: Mistral Small 3.2 24BOpenAI: GPT-5 Nano (batch)Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
256K400K🏆 OpenAI: GPT-5 Nano (batch)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.09$0.03🏆 OpenAI: GPT-5 Nano (batch)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.25$0.20🏆 OpenAI: GPT-5 Nano (batch)
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 OpenAI: GPT-5 Nano (batch)

Frequently asked questions

Is Mistral: Mistral Small 3.2 24B better than OpenAI: GPT-5 Nano (batch)?

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

What's the price difference between Mistral: Mistral Small 3.2 24B and OpenAI: GPT-5 Nano (batch)?

Input: $0.09 vs $0.03 per 1M tokens. Output: $0.25 vs $0.20 per 1M tokens.

What context windows do Mistral: Mistral Small 3.2 24B and OpenAI: GPT-5 Nano (batch) support?

Mistral: Mistral Small 3.2 24B supports up to 256K tokens. OpenAI: GPT-5 Nano (batch) supports up to 400K tokens.

Do both Mistral: Mistral Small 3.2 24B and OpenAI: GPT-5 Nano (batch) support tool calling?

Mistral: Mistral Small 3.2 24B: yes. OpenAI: GPT-5 Nano (batch): yes.

Compare Mistral: Mistral Small 3.2 24B with other models

Compare OpenAI: GPT-5 Nano (batch) with other models