Auto-generated comparison

Mistral: Mistral Large 3 2512 vs Qwen: Qwen2.5 VL 72B Instruct

Mistral: Mistral Large 3 2512 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMistral: Mistral Large 3 2512Qwen: Qwen2.5 VL 72B InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
262K33K🏆 Mistral: Mistral Large 3 2512
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.50$0.80🏆 Mistral: Mistral Large 3 2512
Output price (per 1M)
Cost per million output tokens billed by the provider.
$1.50$0.80🏆 Qwen: Qwen2.5 VL 72B Instruct
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Mistral: Mistral Large 3 2512
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Mistral: Mistral Large 3 2512 better than Qwen: Qwen2.5 VL 72B Instruct?

Mistral: Mistral Large 3 2512 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Mistral: Mistral Large 3 2512 and Qwen: Qwen2.5 VL 72B Instruct?

Input: $0.50 vs $0.80 per 1M tokens. Output: $1.50 vs $0.80 per 1M tokens.

What context windows do Mistral: Mistral Large 3 2512 and Qwen: Qwen2.5 VL 72B Instruct support?

Mistral: Mistral Large 3 2512 supports up to 262K tokens. Qwen: Qwen2.5 VL 72B Instruct supports up to 33K tokens.

Do both Mistral: Mistral Large 3 2512 and Qwen: Qwen2.5 VL 72B Instruct support tool calling?

Mistral: Mistral Large 3 2512: yes. Qwen: Qwen2.5 VL 72B Instruct: not advertised.

Compare Mistral: Mistral Large 3 2512 with other models

Compare Qwen: Qwen2.5 VL 72B Instruct with other models