Auto-generated comparison

Mistral: Pixtral Large 2411 vs Qwen: Qwen2.5 VL 72B Instruct

Mistral: Pixtral Large 2411 and Qwen: Qwen2.5 VL 72B Instruct are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityMistral: Pixtral Large 2411Qwen: Qwen2.5 VL 72B InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K33K🏆 Mistral: Pixtral Large 2411
Input price (per 1M)
Cost per million input tokens billed by the provider.
$2.00$0.80🏆 Qwen: Qwen2.5 VL 72B Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$6.00$0.80🏆 Qwen: Qwen2.5 VL 72B Instruct
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Mistral: Pixtral Large 2411
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Mistral: Pixtral Large 2411 better than Qwen: Qwen2.5 VL 72B Instruct?

Mistral: Pixtral Large 2411 and Qwen: Qwen2.5 VL 72B 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: Pixtral Large 2411 and Qwen: Qwen2.5 VL 72B Instruct?

Input: $2.00 vs $0.80 per 1M tokens. Output: $6.00 vs $0.80 per 1M tokens.

What context windows do Mistral: Pixtral Large 2411 and Qwen: Qwen2.5 VL 72B Instruct support?

Mistral: Pixtral Large 2411 supports up to 131K tokens. Qwen: Qwen2.5 VL 72B Instruct supports up to 33K tokens.

Do both Mistral: Pixtral Large 2411 and Qwen: Qwen2.5 VL 72B Instruct support tool calling?

Mistral: Pixtral Large 2411: yes. Qwen: Qwen2.5 VL 72B Instruct: not advertised.

Compare Mistral: Pixtral Large 2411 with other models

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