Llama 3.1 405B vs R1 Distill Llama 70B
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 Llama 3.1 405B and R1 Distill Llama 70B.
Llama 3.1 405B
Llama 3.1 405B is Meta's largest open-weight language model and one of the most capable openly available models in the world. With 405 billion parameters, it achieves performance competitive with GPT-4 and Claude Opus across benchmarks spanning general knowledge, mathematics, coding, and multilingual tasks. Llama 3.1 405B is released under Meta's custom commercial license, supporting broad use cases including deployment via major cloud providers (AWS, GCP, Azure) and self-hosted inference with multi-GPU configurations.
R1 Distill Llama 70B
DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...
Technical Specifications
| Specification | Llama 3.1 405B | R1 Distill Llama 70B |
|---|---|---|
| Provider | Meta | DeepSeek |
| Context Window | 131,072 tokens | 128,000 tokens |
| Agent Suitability | 90/100 | N/A |
| Time to First Token (TTFT) | 550 ms | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-07-23 | 2025-01-23 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.1 405B
$0.80
R1 Distill Llama 70B
$0.80
Output Price per Million Tokens
Llama 3.1 405B
$0.80
R1 Distill Llama 70B
$0.80
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Llama 3.1 405B Quirks & Gotchas
- โธMassive model โ requires 8ร A100 80GB for FP16 inference
- โธAvailable via Together AI, Fireworks, and Bedrock as managed API
R1 Distill Llama 70B Quirks & Gotchas
No developer gotchas reported.