Auto-generated comparison

Mistral: Mistral Medium 3 vs Qwen: Qwen2.5 VL 32B Instruct

Mistral: Mistral Medium 3 and Qwen: Qwen2.5 VL 32B Instruct are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityMistral: Mistral Medium 3Qwen: 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
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.40$0.20🏆 Qwen: Qwen2.5 VL 32B Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$2.00$0.60🏆 Qwen: Qwen2.5 VL 32B Instruct
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Mistral: Mistral Medium 3
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 better than Qwen: Qwen2.5 VL 32B Instruct?

Mistral: Mistral Medium 3 and Qwen: Qwen2.5 VL 32B Instruct are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between Mistral: Mistral Medium 3 and Qwen: Qwen2.5 VL 32B Instruct?

Input: $0.40 vs $0.20 per 1M tokens. Output: $2.00 vs $0.60 per 1M tokens.

What context windows do Mistral: Mistral Medium 3 and Qwen: Qwen2.5 VL 32B Instruct support?

Mistral: Mistral Medium 3 supports up to 131K tokens. Qwen: Qwen2.5 VL 32B Instruct supports up to 128K tokens.

Do both Mistral: Mistral Medium 3 and Qwen: Qwen2.5 VL 32B Instruct support tool calling?

Mistral: Mistral Medium 3: yes. Qwen: Qwen2.5 VL 32B Instruct: not advertised.

Compare Mistral: Mistral Medium 3 with other models

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