Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Llama 3.1 (Deployable)
Cerebrium
Intelligence Score
65/100
Model Popularity
0 votes
Context Window
128K
Pricing Model
Commercial / Paid
DeepSeek Coder V2
A-TIEROllama
Intelligence Score
85/100
Context Window
64K tokens
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
DeepSeek Coder V2 Wins
With an intelligence score of 85/100 vs 65/100, DeepSeek Coder V2 outperforms Llama 3.1 (Deployable) by 20 points.
Clear Winner: Significant performance advantage for DeepSeek Coder V2.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Llama 3.1 (Deployable)
|
DeepSeek Coder V2
|
|---|---|---|
|
Context Window
|
128K | 64K tokens |
|
Architecture
|
Transformer (Open Weight) | Dense Transformer |
|
Est. MMLU Score
|
~60-64% | ~80-84% |
|
Release Date
|
Jul 2024 | 2024 |
|
Pricing Model
|
Paid / Commercial | Free Tier |
|
Rate Limit (RPM)
|
Pay-per-second compute | Hardware limited |
|
Daily Limit
|
Credit-based | Unlimited |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
C-Tier (Good) | A-Tier (Excellent) |
|
Speed Estimate
|
Medium | Medium |
|
Primary Use Case
|
General Purpose | 💻 Code Generation |
|
Model Size
|
Undisclosed | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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