Battle of the Models
Compare specific LLM models, context windows, and capabilities.
OpenLLM Generic
BentoML
Intelligence Score
65/100
Model Popularity
0 votes
Context Window
Varies
Pricing Model
Commercial / Paid
DeepSeek Coder 6.7B
A-TIERCloudflare Workers AI
Intelligence Score
83/100
Context Window
16K
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
DeepSeek Coder 6.7B Wins
With an intelligence score of 83/100 vs 65/100, DeepSeek Coder 6.7B outperforms OpenLLM Generic by 18 points.
Clear Winner: Significant performance advantage for DeepSeek Coder 6.7B.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
OpenLLM Generic
|
DeepSeek Coder 6.7B
|
|---|---|---|
|
Context Window
|
Varies | 16K |
|
Architecture
|
Transformer | Dense Transformer |
|
Est. MMLU Score
|
~60-64% | ~75-79% |
|
Release Date
|
2024 | 2024 |
|
Pricing Model
|
Paid / Commercial | Free Tier |
|
Rate Limit (RPM)
|
Hardware dependent | Varies by model |
|
Daily Limit
|
Unlimited | 10,000 neurons/day |
|
Capabilities
|
No specific data
|
Code
|
|
Performance Tier
|
C-Tier (Good) | B-Tier (Strong) |
|
Speed Estimate
|
Medium | âš¡ Very Fast |
|
Primary Use Case
|
General Purpose | 💻 Code Generation |
|
Model Size
|
Undisclosed | 6.7B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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