Auto-generated comparison

Google: Gemini 2.5 Flash vs Mistral: Voxtral Small 24B 2507

Google: Gemini 2.5 Flash wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemini 2.5 FlashMistral: Voxtral Small 24B 2507Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
1.0M32K🏆 Google: Gemini 2.5 Flash
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.30$0.10🏆 Mistral: Voxtral Small 24B 2507
Output price (per 1M)
Cost per million output tokens billed by the provider.
$2.50$0.30🏆 Mistral: Voxtral Small 24B 2507
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 Google: Gemini 2.5 Flash
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 Google: Gemini 2.5 Flash

Frequently asked questions

Is Google: Gemini 2.5 Flash better than Mistral: Voxtral Small 24B 2507?

Google: Gemini 2.5 Flash wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Google: Gemini 2.5 Flash and Mistral: Voxtral Small 24B 2507?

Input: $0.30 vs $0.10 per 1M tokens. Output: $2.50 vs $0.30 per 1M tokens.

What context windows do Google: Gemini 2.5 Flash and Mistral: Voxtral Small 24B 2507 support?

Google: Gemini 2.5 Flash supports up to 1.0M tokens. Mistral: Voxtral Small 24B 2507 supports up to 32K tokens.

Do both Google: Gemini 2.5 Flash and Mistral: Voxtral Small 24B 2507 support tool calling?

Google: Gemini 2.5 Flash: yes. Mistral: Voxtral Small 24B 2507: yes.

Compare Google: Gemini 2.5 Flash with other models

Compare Mistral: Voxtral Small 24B 2507 with other models