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 4 Scout
A-TIERGroq
Intelligence Score
87/100
Context Window
1k RPD, 30k TPM
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Llama 4 Scout Wins
With an intelligence score of 87/100 vs 83/100, Llama 4 Scout 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 |
DeepSeek Coder 6.7B
|
Llama 4 Scout
|
|---|---|---|
|
Context Window
|
16K | 1k RPD, 30k TPM |
|
Architecture
|
Dense Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~75-79% | ~80-84% |
|
Release Date
|
2024 | 2026 (Latest) |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
Varies by model | 30 RPM, 14.4k RPD |
|
Daily Limit
|
10,000 neurons/day | 14,400 Requests/Day |
|
Capabilities
|
Code
|
No specific data
|
|
Performance Tier
|
B-Tier (Strong) | A-Tier (Excellent) |
|
Speed Estimate
|
âš¡ Very Fast | âš¡ Very Fast |
|
Primary Use Case
|
💻 Code Generation | General Purpose |
|
Model Size
|
6.7B | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
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