Battle of the Models
Compare specific LLM models, context windows, and capabilities.
DeepSeek-R1
S-TIERChutes.ai
Qwen 2.5 7B Instruct (free)
OpenRouter
DeepSeek-R1 Wins
With an intelligence score of 97/100 vs 79/100, DeepSeek-R1 outperforms Qwen 2.5 7B Instruct (free) by 18 points.
Detailed Comparison
| Feature |
DeepSeek-R1
|
Qwen 2.5 7B Instruct (free)
|
|---|---|---|
|
Context Window
|
64K | 32k |
|
Architecture
|
Dense Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~92-95% | ~70-74% |
|
Release Date
|
Jan 2025 | Sep-Nov 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
Varies (community capacity) | 20 requests/minute |
|
Daily Limit
|
Subject to availability | 50 requests/day (up to 1000 with $10 topup) |
|
Capabilities
|
Reasoning
|
No specific data
|
|
Performance Tier
|
S-Tier (Elite) | B-Tier (Strong) |
|
Speed Estimate
|
🐢 Slower (Reasoning) | ⚡ Very Fast |
|
Primary Use Case
|
🧠 Complex Reasoning | General Purpose |
|
Model Size
|
Undisclosed | 7B |
|
Limitations
|
|
|
|
Key Strengths
|
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