o1 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 o1 and R1 Distill Llama 70B.
o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
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 | o1 | R1 Distill Llama 70B |
|---|---|---|
| Provider | OpenAI | DeepSeek |
| Context Window | 200,000 tokens | 128,000 tokens |
| Agent Suitability | 88/100 | N/A |
| Time to First Token (TTFT) | 2500 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-12-17 | 2025-01-23 |
API Pricing Comparison
Input Price per Million Tokens
o1
$15.00
R1 Distill Llama 70B
$0.80
Output Price per Million Tokens
o1
$60.00
R1 Distill Llama 70B
$0.80
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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.
o1 Quirks & Gotchas
- ▸Reasoning model — high latency by design, not for real-time use
- ▸Best for complex math/code reasoning where accuracy > speed
- ▸Use o3-mini when you need reasoning with lower latency
R1 Distill Llama 70B Quirks & Gotchas
No developer gotchas reported.