Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and vision tasks, inclu…
Model details →Mistral: Mistral Small 3.1 24B (free) vs Qwen: Qwen3 VL 235B A22B Thinking
Mistral: Mistral Small 3.1 24B (free) and Qwen: Qwen3 VL 235B A22B Thinking are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math. The series emphasizes robust…
Model details →Side-by-side comparison
| Capability | Mistral: Mistral Small 3.1 24B (free) | Qwen: Qwen3 VL 235B A22B Thinking | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 131K | 🏆 Qwen: Qwen3 VL 235B A22B Thinking |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.00 | $0.26 | 🏆 Mistral: Mistral Small 3.1 24B (free) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.00 | $2.60 | 🏆 Mistral: Mistral Small 3.1 24B (free) |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 Qwen: Qwen3 VL 235B A22B Thinking |
Frequently asked questions
Is Mistral: Mistral Small 3.1 24B (free) better than Qwen: Qwen3 VL 235B A22B Thinking?
Mistral: Mistral Small 3.1 24B (free) and Qwen: Qwen3 VL 235B A22B Thinking 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 Small 3.1 24B (free) and Qwen: Qwen3 VL 235B A22B Thinking?
Input: $0.00 vs $0.26 per 1M tokens. Output: $0.00 vs $2.60 per 1M tokens.
What context windows do Mistral: Mistral Small 3.1 24B (free) and Qwen: Qwen3 VL 235B A22B Thinking support?
Mistral: Mistral Small 3.1 24B (free) supports up to 128K tokens. Qwen: Qwen3 VL 235B A22B Thinking supports up to 131K tokens.
Do both Mistral: Mistral Small 3.1 24B (free) and Qwen: Qwen3 VL 235B A22B Thinking support tool calling?
Mistral: Mistral Small 3.1 24B (free): yes. Qwen: Qwen3 VL 235B A22B Thinking: yes.