o4 Mini Deep Research 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 o4 Mini Deep Research and R1 Distill Llama 70B.
o4 Mini Deep Research
o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
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 | o4 Mini Deep Research | R1 Distill Llama 70B |
|---|---|---|
| Provider | OpenAI | DeepSeek |
| Context Window | 200,000 tokens | 128,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-10-10 | 2025-01-23 |
API Pricing Comparison
Input Price per Million Tokens
o4 Mini Deep Research
$2.00
R1 Distill Llama 70B
$0.80
Output Price per Million Tokens
o4 Mini Deep Research
$8.00
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.
o4 Mini Deep Research Quirks & Gotchas
No developer gotchas reported.
R1 Distill Llama 70B Quirks & Gotchas
No developer gotchas reported.