Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Llama 3.1 70B (Fast)
A-TIERCerebras
Intelligence Score
87/100
Model Popularity
0 votes
Context Window
8K
Pricing Model
Free / Open
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
Llama 3.1 70B (Fast) Wins
With an intelligence score of 87/100 vs 83/100, Llama 3.1 70B (Fast) outperforms DeepSeek Coder 6.7B by 4 points.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Llama 3.1 70B (Fast)
|
DeepSeek Coder 6.7B
|
|---|---|---|
|
Context Window
|
8K | 16K |
|
Architecture
|
Transformer (Open Weight) | Dense Transformer |
|
Est. MMLU Score
|
~80-84% | ~75-79% |
|
Release Date
|
Jul 2024 | 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
30 RPM | Varies by model |
|
Daily Limit
|
1,000,000 Tokens / Day | 10,000 neurons/day |
|
Capabilities
|
No specific data
|
Code
|
|
Performance Tier
|
A-Tier (Excellent) | B-Tier (Strong) |
|
Speed Estimate
|
âš¡ Fast | âš¡ Very Fast |
|
Primary Use Case
|
General Purpose | 💻 Code Generation |
|
Model Size
|
70B | 6.7B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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