DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context training process, reaching …
Model details →DeepSeek: DeepSeek V3.1 vs Meta: Llama 3.3 70B Instruct (free)
Meta: Llama 3.3 70B Instruct (free) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases an…
Model details →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V3.1 | Meta: Llama 3.3 70B Instruct (free) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 33K | 66K | 🏆 Meta: Llama 3.3 70B Instruct (free) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.15 | $0.00 | 🏆 Meta: Llama 3.3 70B Instruct (free) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.75 | $0.00 | 🏆 Meta: Llama 3.3 70B Instruct (free) |
| 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 V3.1 |
Frequently asked questions
Is DeepSeek: DeepSeek V3.1 better than Meta: Llama 3.3 70B Instruct (free)?
Meta: Llama 3.3 70B Instruct (free) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: DeepSeek V3.1 and Meta: Llama 3.3 70B Instruct (free)?
Input: $0.15 vs $0.00 per 1M tokens. Output: $0.75 vs $0.00 per 1M tokens.
What context windows do DeepSeek: DeepSeek V3.1 and Meta: Llama 3.3 70B Instruct (free) support?
DeepSeek: DeepSeek V3.1 supports up to 33K tokens. Meta: Llama 3.3 70B Instruct (free) supports up to 66K tokens.
Do both DeepSeek: DeepSeek V3.1 and Meta: Llama 3.3 70B Instruct (free) support tool calling?
DeepSeek: DeepSeek V3.1: yes. Meta: Llama 3.3 70B Instruct (free): yes.