Auto-generated comparison

Mistral: Voxtral Small 24B 2507 vs Qwen: Qwen2.5 7B Instruct

Qwen: Qwen2.5 7B Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMistral: Voxtral Small 24B 2507Qwen: Qwen2.5 7B InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
32K33K🏆 Qwen: Qwen2.5 7B Instruct
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.10$0.04🏆 Qwen: Qwen2.5 7B Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.30$0.10🏆 Qwen: Qwen2.5 7B Instruct
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Mistral: Voxtral Small 24B 2507 better than Qwen: Qwen2.5 7B Instruct?

Qwen: Qwen2.5 7B Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Mistral: Voxtral Small 24B 2507 and Qwen: Qwen2.5 7B Instruct?

Input: $0.10 vs $0.04 per 1M tokens. Output: $0.30 vs $0.10 per 1M tokens.

What context windows do Mistral: Voxtral Small 24B 2507 and Qwen: Qwen2.5 7B Instruct support?

Mistral: Voxtral Small 24B 2507 supports up to 32K tokens. Qwen: Qwen2.5 7B Instruct supports up to 33K tokens.

Do both Mistral: Voxtral Small 24B 2507 and Qwen: Qwen2.5 7B Instruct support tool calling?

Mistral: Voxtral Small 24B 2507: yes. Qwen: Qwen2.5 7B Instruct: yes.

Compare Mistral: Voxtral Small 24B 2507 with other models

Compare Qwen: Qwen2.5 7B Instruct with other models