Battle of the Models
Compare specific LLM models, context windows, and capabilities.
DeepSeek-R1
S-TIERChutes.ai
Intelligence Score
97/100
Model Popularity
0 votes
Context Window
64K
Pricing Model
Free / Open
Gemini 2.5 Pro
S-TIER
Intelligence Score
94/100
Context Window
2M
Pricing Model
Commercial / Paid
Model Popularity
0 votes
Commercial/Paid Model
FINAL VERDICT
DeepSeek-R1 Wins
With an intelligence score of 97/100 vs 94/100, DeepSeek-R1 outperforms Gemini 2.5 Pro by 3 points.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
DeepSeek-R1
|
Gemini 2.5 Pro
|
|---|---|---|
|
Context Window
|
64K | 2M |
|
Architecture
|
Dense Transformer | Transformer (Proprietary) |
|
Est. MMLU Score
|
~92-95% | ~88-91% |
|
Release Date
|
Jan 2025 | 2024 |
|
Pricing Model
|
Free Tier | Paid / Commercial |
|
Rate Limit (RPM)
|
Varies (community capacity) | 2,000 RPM |
|
Daily Limit
|
Subject to availability | 1,500 requests/day (free tier) |
|
Capabilities
|
Reasoning
|
Vision
Function Calling
Streaming
JSON Mode
|
|
Performance Tier
|
S-Tier (Elite) | S-Tier (Elite) |
|
Speed Estimate
|
🐢 Slower (Reasoning) | ⚡ Very Fast |
|
Primary Use Case
|
🧠 Complex Reasoning | ⚡ Fast Chat & Apps |
|
Model Size
|
Undisclosed | ~1.5T (estimated) |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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