Battle of the Models
Compare specific LLM models, context windows, and capabilities.
DeepSeek: R1 Distill Llama 70B (free)
A-TIEROpenRouter
Microsoft: Phi-3 Mini (free)
OpenRouter
DeepSeek: R1 Distill Llama 70B (free) Wins
With an intelligence score of 83/100 vs 65/100, DeepSeek: R1 Distill Llama 70B (free) outperforms Microsoft: Phi-3 Mini (free) by 18 points.
Detailed Comparison
| Feature |
DeepSeek: R1 Distill Llama 70B (free)
|
Microsoft: Phi-3 Mini (free)
|
|---|---|---|
|
Context Window
|
128k | 128k |
|
Architecture
|
Transformer (Open Weight) | Transformer |
|
Est. MMLU Score
|
~75-79% | ~60-64% |
|
Release Date
|
2024 | 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
20 requests/minute | 20 requests/minute |
|
Daily Limit
|
50 requests/day (up to 1000 with $10 topup) | 50 requests/day (up to 1000 with $10 topup) |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
B-Tier (Strong) | C-Tier (Good) |
|
Speed Estimate
|
🐢 Slower (Reasoning) | ⚡ Very Fast |
|
Primary Use Case
|
🧠 Complex Reasoning | ⚡ Fast Chat & Apps |
|
Model Size
|
70B | Undisclosed |
|
Limitations
|
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Key Strengths
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