Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Llama 4 Scout Instruct (Free)
A-TIERTogether.AI
Intelligence Score
87/100
Model Popularity
0 votes
Context Window
512K tokens
Pricing Model
Free / Open
DeepSeek-R1
S-TIERChutes.ai
Intelligence Score
97/100
Context Window
64K
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
DeepSeek-R1 Wins
With an intelligence score of 97/100 vs 87/100, DeepSeek-R1 outperforms Llama 4 Scout Instruct (Free) by 10 points.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Llama 4 Scout Instruct (Free)
|
DeepSeek-R1
|
|---|---|---|
|
Context Window
|
512K tokens | 64K |
|
Architecture
|
Transformer (Open Weight) | Dense Transformer |
|
Est. MMLU Score
|
~80-84% | ~92-95% |
|
Release Date
|
2026 (Latest) | Jan 2025 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
Subject to availability | Varies (community capacity) |
|
Daily Limit
|
Unlimited (Research Preview) | Subject to availability |
|
Capabilities
|
Multimodal
|
Reasoning
|
|
Performance Tier
|
A-Tier (Excellent) | S-Tier (Elite) |
|
Speed Estimate
|
⚡ Very Fast | 🐢 Slower (Reasoning) |
|
Primary Use Case
|
General Purpose | 🧠 Complex Reasoning |
|
Model Size
|
Undisclosed | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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