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
Qwen 2.5
LLM7.io
Intelligence Score
65/100
Context Window
32K
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 Qwen 2.5 by 18 points.
Clear Winner: Significant performance advantage for DeepSeek Coder 6.7B.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
DeepSeek Coder 6.7B
|
Qwen 2.5
|
|---|---|---|
|
Context Window
|
16K | 32K |
|
Architecture
|
Dense Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~75-79% | ~60-64% |
|
Release Date
|
2024 | Sep-Nov 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
Varies by model | 30 RPM (no signup) / 120 RPM (free email token) |
|
Daily Limit
|
10,000 neurons/day | Up to 5M tokens/day (rolling 24h, with free token) |
|
Capabilities
|
Code
|
No specific data
|
|
Performance Tier
|
B-Tier (Strong) | C-Tier (Good) |
|
Speed Estimate
|
⚡ Very Fast | Medium |
|
Primary Use Case
|
💻 Code Generation | General Purpose |
|
Model Size
|
6.7B | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
DeepSeek Coder 6.7B
vs
DeepSeek: R1 (free)
Qwen 2.5
vs
DeepSeek: R1 (free)
DeepSeek Coder 6.7B
vs
DeepSeek: R1 Distill Llama 70B (free)
Qwen 2.5
vs
DeepSeek: R1 Distill Llama 70B (free)
DeepSeek Coder 6.7B
vs
Qwen 2.5 7B Instruct (free)
Qwen 2.5
vs
Qwen 2.5 7B Instruct (free)
Qwen 2.5
vs
Qwen 2.5 VL 72B Instruct (free)
Qwen 2.5
vs
DeepSeek: V4 Flash (free)
Qwen 2.5
vs
DeepSeek-R1 (Free)
Qwen 2.5
vs
DeepSeek Coder V2
Qwen 2.5
vs
Qwen 2.5 72B Instruct
Qwen 2.5
vs
Qwen3.5 72B Instruct