DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism designed …
Model details →DeepSeek: DeepSeek V3.2 Exp vs Mistral: Devstral Small 1.1
DeepSeek: DeepSeek V3.2 Exp and Mistral: Devstral Small 1.1 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
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 →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V3.2 Exp | Mistral: Devstral Small 1.1 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 164K | 131K | 🏆 DeepSeek: DeepSeek V3.2 Exp |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.27 | $0.10 | 🏆 Mistral: Devstral Small 1.1 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.41 | $0.30 | 🏆 Mistral: Devstral Small 1.1 |
| 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. | Yes | — | 🏆 DeepSeek: DeepSeek V3.2 Exp |
Frequently asked questions
Is DeepSeek: DeepSeek V3.2 Exp better than Mistral: Devstral Small 1.1?
DeepSeek: DeepSeek V3.2 Exp and Mistral: Devstral Small 1.1 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between DeepSeek: DeepSeek V3.2 Exp and Mistral: Devstral Small 1.1?
Input: $0.27 vs $0.10 per 1M tokens. Output: $0.41 vs $0.30 per 1M tokens.
What context windows do DeepSeek: DeepSeek V3.2 Exp and Mistral: Devstral Small 1.1 support?
DeepSeek: DeepSeek V3.2 Exp supports up to 164K tokens. Mistral: Devstral Small 1.1 supports up to 131K tokens.
Do both DeepSeek: DeepSeek V3.2 Exp and Mistral: Devstral Small 1.1 support tool calling?
DeepSeek: DeepSeek V3.2 Exp: yes. Mistral: Devstral Small 1.1: yes.