Llama 3.3 70B Instruct vs DeepSeek V3.1
Detailed technical comparison between Llama 3.3 70B Instruct (Meta) and DeepSeek V3.1 (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.
Comparison Snapshot
DeepSeek V3.1
163,840 tokensTie
Equal CapabilityTie
Equal SpeedLlama 3.3 70B Instruct
$0.13 / MTokLlama 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...
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...
Technical Specifications
🏆 = Superior Spec| Specification | Llama 3.3 70B Instruct | DeepSeek V3.1 |
|---|---|---|
| Provider | Meta | DeepSeek |
| Context Window | 131,072 tokens | 163,840 tokens🏆 |
| Agent Suitability | Not yet benchmarked | Not yet benchmarked |
| Time to First Token (TTFT) | No public TTFT data | No public TTFT data |
| Deployment Model | self hostable | self hostable |
| Production Stability | Stable GA (est.) | Stable GA (est.) |
| API Available | Yes | Yes |
| Released Date | 2024-12-06 | 2025-08-21 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.3 70B Instruct
$0.13
DeepSeek V3.1
$0.25
Output Price per Million Tokens
Llama 3.3 70B Instruct
$0.40
DeepSeek V3.1
$0.95
💡 Cost Ratio: Llama 3.3 70B Instruct is 1.9x cheaper per input token than DeepSeek V3.1.
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Benchmark Performance Metrics
Standardized Scores (0–100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
Llama 3.3 70B Instruct Quirks & Gotchas
No developer gotchas reported.
DeepSeek V3.1 Quirks & Gotchas
No developer gotchas reported.
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