Auto-generated comparison

Mistral: Devstral 2 2512 vs Qwen: Qwen3 VL 235B A22B Instruct

Qwen: Qwen3 VL 235B A22B Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMistral: Devstral 2 2512Qwen: Qwen3 VL 235B A22B InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
262K262KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.40$0.20🏆 Qwen: Qwen3 VL 235B A22B Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$2.00$0.88🏆 Qwen: Qwen3 VL 235B A22B Instruct
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 Qwen: Qwen3 VL 235B A22B Instruct
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Mistral: Devstral 2 2512 better than Qwen: Qwen3 VL 235B A22B Instruct?

Qwen: Qwen3 VL 235B A22B Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Mistral: Devstral 2 2512 and Qwen: Qwen3 VL 235B A22B Instruct?

Input: $0.40 vs $0.20 per 1M tokens. Output: $2.00 vs $0.88 per 1M tokens.

What context windows do Mistral: Devstral 2 2512 and Qwen: Qwen3 VL 235B A22B Instruct support?

Mistral: Devstral 2 2512 supports up to 262K tokens. Qwen: Qwen3 VL 235B A22B Instruct supports up to 262K tokens.

Do both Mistral: Devstral 2 2512 and Qwen: Qwen3 VL 235B A22B Instruct support tool calling?

Mistral: Devstral 2 2512: yes. Qwen: Qwen3 VL 235B A22B Instruct: yes.

Compare Mistral: Devstral 2 2512 with other models

Compare Qwen: Qwen3 VL 235B A22B Instruct with other models