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 Meta: Llama 3.1 70B Instruct
DeepSeek: DeepSeek V3.2 Exp wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong performance compared to leading closed-source …
Model details →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V3.2 Exp | Meta: Llama 3.1 70B Instruct | 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 | $0.40 | 🏆 DeepSeek: DeepSeek V3.2 Exp |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.41 | $0.40 | 🏆 Meta: Llama 3.1 70B Instruct |
| 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 Meta: Llama 3.1 70B Instruct?
DeepSeek: DeepSeek V3.2 Exp wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: DeepSeek V3.2 Exp and Meta: Llama 3.1 70B Instruct?
Input: $0.27 vs $0.40 per 1M tokens. Output: $0.41 vs $0.40 per 1M tokens.
What context windows do DeepSeek: DeepSeek V3.2 Exp and Meta: Llama 3.1 70B Instruct support?
DeepSeek: DeepSeek V3.2 Exp supports up to 164K tokens. Meta: Llama 3.1 70B Instruct supports up to 131K tokens.
Do both DeepSeek: DeepSeek V3.2 Exp and Meta: Llama 3.1 70B Instruct support tool calling?
DeepSeek: DeepSeek V3.2 Exp: yes. Meta: Llama 3.1 70B Instruct: yes.