Battle of the Models
Compare specific LLM models, context windows, and capabilities.
DeepSeek-R1
S-TIERChutes.ai
DeepSeek-R1
S-TIERChutes.ai
Evenly Matched!
Both models score 97/100 and have comparable capabilities.
🎯 Selection Guide:
Your choice depends on provider preference, latency requirements, and specific features.
Detailed Comparison
| Feature |
DeepSeek-R1
|
DeepSeek-R1
|
|---|---|---|
|
Context Window
|
64K | 64K |
|
Architecture
|
Dense Transformer | Dense Transformer |
|
Est. MMLU Score
|
~92-95% | ~92-95% |
|
Release Date
|
Jan 2025 | Jan 2025 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
Varies (community capacity) | Varies (community capacity) |
|
Daily Limit
|
Subject to availability | Subject to availability |
|
Capabilities
|
Reasoning
|
Reasoning
|
|
Performance Tier
|
S-Tier (Elite) | S-Tier (Elite) |
|
Speed Estimate
|
🐢 Slower (Reasoning) | 🐢 Slower (Reasoning) |
|
Primary Use Case
|
🧠 Complex Reasoning | 🧠 Complex Reasoning |
|
Model Size
|
Undisclosed | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|