Battle of the Models
Compare specific LLM models, context windows, and capabilities.
DeepSeek V3.2
S-TIERFriendli AI
Intelligence Score
94/100
Model Popularity
0 votes
Context Window
164K Context
Pricing Model
Free / Open
Llama 4 Scout (Fast)
DEPRECATEDCerebras
This model is no longer active/free — kept for reference.
Intelligence Score
87/100
Context Window
8K
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
DeepSeek V3.2 Wins
With an intelligence score of 94/100 vs 87/100, DeepSeek V3.2 outperforms Llama 4 Scout (Fast) by 7 points.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
DeepSeek V3.2
|
Llama 4 Scout (Fast)
|
|---|---|---|
|
Context Window
|
164K Context | 8K |
|
Architecture
|
Dense Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~88-91% | ~80-84% |
|
Release Date
|
2024 | 2026 (Latest) |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
60 RPM | 5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial) |
|
Daily Limit
|
Credit-based | 1M tokens/day |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
S-Tier (Elite) | A-Tier (Excellent) |
|
Speed Estimate
|
Medium | ⚡ Very Fast |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
Undisclosed | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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