Auto-generated comparison

Mistral: Mistral Medium 3.1 (batch) vs Qwen: Qwen2.5 VL 32B Instruct

Mistral: Mistral Medium 3.1 (batch) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMistral: Mistral Medium 3.1 (batch)Qwen: Qwen2.5 VL 32B InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K128K🏆 Mistral: Mistral Medium 3.1 (batch)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.20$0.20Tie
Output price (per 1M)
Cost per million output tokens billed by the provider.
$1.00$0.60🏆 Qwen: Qwen2.5 VL 32B Instruct
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Mistral: Mistral Medium 3.1 (batch)
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Mistral: Mistral Medium 3.1 (batch) better than Qwen: Qwen2.5 VL 32B Instruct?

Mistral: Mistral Medium 3.1 (batch) 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 3.1 (batch) and Qwen: Qwen2.5 VL 32B Instruct?

Input: $0.20 vs $0.20 per 1M tokens. Output: $1.00 vs $0.60 per 1M tokens.

What context windows do Mistral: Mistral Medium 3.1 (batch) and Qwen: Qwen2.5 VL 32B Instruct support?

Mistral: Mistral Medium 3.1 (batch) supports up to 131K tokens. Qwen: Qwen2.5 VL 32B Instruct supports up to 128K tokens.

Do both Mistral: Mistral Medium 3.1 (batch) and Qwen: Qwen2.5 VL 32B Instruct support tool calling?

Mistral: Mistral Medium 3.1 (batch): yes. Qwen: Qwen2.5 VL 32B Instruct: not advertised.

Compare Mistral: Mistral Medium 3.1 (batch) with other models

Compare Qwen: Qwen2.5 VL 32B Instruct with other models