Devstral Small 1.1 is a 24B parameter open-weight language model for software engineering agents, developed by Mistral AI in collaboration with All Hands AI. Finetuned from Mistral Small 3.1 and released under the Apache 2.0 license, it fea…
Model details →Mistral: Devstral Small 1.1 vs Qwen: Qwen-Turbo
Qwen: Qwen-Turbo wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen-Turbo, based on Qwen2.5, is a 1M context model that provides fast speed and low cost, suitable for simple tasks.
Model details →Side-by-side comparison
| Capability | Mistral: Devstral Small 1.1 | Qwen: Qwen-Turbo | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 131K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.10 | $0.03 | 🏆 Qwen: Qwen-Turbo |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.30 | $0.13 | 🏆 Qwen: Qwen-Turbo |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Mistral: Devstral Small 1.1 better than Qwen: Qwen-Turbo?
Qwen: Qwen-Turbo wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Mistral: Devstral Small 1.1 and Qwen: Qwen-Turbo?
Input: $0.10 vs $0.03 per 1M tokens. Output: $0.30 vs $0.13 per 1M tokens.
What context windows do Mistral: Devstral Small 1.1 and Qwen: Qwen-Turbo support?
Mistral: Devstral Small 1.1 supports up to 131K tokens. Qwen: Qwen-Turbo supports up to 131K tokens.
Do both Mistral: Devstral Small 1.1 and Qwen: Qwen-Turbo support tool calling?
Mistral: Devstral Small 1.1: yes. Qwen: Qwen-Turbo: yes.