DeepSeek V3.1 vs Llama 3.3 70B Instruct
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V3.1 and Llama 3.3 70B Instruct.
DeepSeek V3.1
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...
Llama 3.3 70B Instruct
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...
Technical Specifications
| Specification | DeepSeek V3.1 | Llama 3.3 70B Instruct |
|---|---|---|
| Provider | DeepSeek | Meta |
| Context Window | 163,840 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-21 | 2024-12-06 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V3.1
$0.21
Llama 3.3 70B Instruct
$0.10
Output Price per Million Tokens
DeepSeek V3.1
$0.79
Llama 3.3 70B Instruct
$0.32
Want to test both models live?
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
DeepSeek V3.1 Quirks & Gotchas
No developer gotchas reported.
Llama 3.3 70B Instruct Quirks & Gotchas
No developer gotchas reported.