Battle of the Models
Compare specific LLM models, context windows, and capabilities.
DeepSeek Coder 6.7B
A-TIERCloudflare Workers AI
Intelligence Score
83/100
Model Popularity
0 votes
Context Window
16K
Pricing Model
Free / Open
Llama 3.1 70B Instruct
A-TIERChutes.ai
Intelligence Score
88/100
Context Window
128K
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Llama 3.1 70B Instruct Wins
With an intelligence score of 88/100 vs 83/100, Llama 3.1 70B Instruct outperforms DeepSeek Coder 6.7B by 5 points.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
DeepSeek Coder 6.7B
|
Llama 3.1 70B Instruct
|
|---|---|---|
|
Context Window
|
16K | 128K |
|
Architecture
|
Dense Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~75-79% | ~80-84% |
|
Release Date
|
2024 | Jul 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
Varies by model | Varies (community capacity) |
|
Daily Limit
|
10,000 neurons/day | Subject to availability |
|
Capabilities
|
Code
|
No specific data
|
|
Performance Tier
|
B-Tier (Strong) | A-Tier (Excellent) |
|
Speed Estimate
|
âš¡ Very Fast | âš¡ Fast |
|
Primary Use Case
|
💻 Code Generation | General Purpose |
|
Model Size
|
6.7B | 70B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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