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: Mistral Nemo
DeepSeek: DeepSeek V3.2 Exp and Mistral: Mistral Nemo are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, and Hindi…
Model details →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V3.2 Exp | Mistral: Mistral Nemo | 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 | $0.02 | 🏆 Mistral: Mistral Nemo |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.41 | $0.04 | 🏆 Mistral: Mistral Nemo |
| 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: Mistral Nemo?
DeepSeek: DeepSeek V3.2 Exp and Mistral: Mistral Nemo 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: Mistral Nemo?
Input: $0.27 vs $0.02 per 1M tokens. Output: $0.41 vs $0.04 per 1M tokens.
What context windows do DeepSeek: DeepSeek V3.2 Exp and Mistral: Mistral Nemo support?
DeepSeek: DeepSeek V3.2 Exp supports up to 164K tokens. Mistral: Mistral Nemo supports up to 131K tokens.
Do both DeepSeek: DeepSeek V3.2 Exp and Mistral: Mistral Nemo support tool calling?
DeepSeek: DeepSeek V3.2 Exp: yes. Mistral: Mistral Nemo: yes.