Battle of the Models
Compare specific LLM models, context windows, and capabilities.
DeepSeek V4 Pro (0813)
A-TIERNVIDIA NIM
Intelligence Score
80/100
Model Popularity
0 votes
Context Window
Long context
Pricing Model
Free / Open
Llama 3.2 3B
Ollama
Intelligence Score
75/100
Context Window
128K tokens
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
DeepSeek V4 Pro (0813) Wins
With an intelligence score of 80/100 vs 75/100, DeepSeek V4 Pro (0813) outperforms Llama 3.2 3B by 5 points.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
DeepSeek V4 Pro (0813)
|
Llama 3.2 3B
|
|---|---|---|
|
Context Window
|
Long context | 128K tokens |
|
Architecture
|
Dense Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~75-79% | ~70-74% |
|
Release Date
|
2024 | Sep 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
40 requests/minute | Hardware limited |
|
Daily Limit
|
- | Unlimited |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
B-Tier (Strong) | B-Tier (Strong) |
|
Speed Estimate
|
Medium | Medium |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
Undisclosed | 3B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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