Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Llama 3.1 405B
S-TIERVenice.ai
Intelligence Score
91/100
Model Popularity
0 votes
Context Window
128K tokens
Pricing Model
Free / Open
DeepSeek Coder V2
A-TIEROllama
Intelligence Score
85/100
Context Window
64K tokens
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Llama 3.1 405B Wins
With an intelligence score of 91/100 vs 85/100, Llama 3.1 405B outperforms DeepSeek Coder V2 by 6 points.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Llama 3.1 405B
|
DeepSeek Coder V2
|
|---|---|---|
|
Context Window
|
128K tokens | 64K tokens |
|
Architecture
|
Transformer (Open Weight) | Dense Transformer |
|
Est. MMLU Score
|
~85-87% | ~80-84% |
|
Release Date
|
Jul 2024 | 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
10 RPM (free tier) | Hardware limited |
|
Daily Limit
|
Limited daily usage | Unlimited |
|
Capabilities
|
Reasoning
|
No specific data
|
|
Performance Tier
|
A-Tier (Excellent) | A-Tier (Excellent) |
|
Speed Estimate
|
🐢 Slower (Reasoning) | Medium |
|
Primary Use Case
|
General Purpose | 💻 Code Generation |
|
Model Size
|
405B | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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