Battle of the Models
Compare specific LLM models, context windows, and capabilities.
DeepSeek Coder 6.7B
A-TIERCloudflare Workers AI
Google: Gemini 2.0 Pro (free)
S-TIEROpenRouter
Google: Gemini 2.0 Pro (free) Wins
With an intelligence score of 96/100 vs 83/100, Google: Gemini 2.0 Pro (free) outperforms DeepSeek Coder 6.7B by 13 points.
Detailed Comparison
| Feature |
DeepSeek Coder 6.7B
|
Google: Gemini 2.0 Pro (free)
|
|---|---|---|
|
Context Window
|
16K | 1M |
|
Architecture
|
Dense Transformer | Transformer (Proprietary) |
|
Est. MMLU Score
|
~75-79% | ~92-95% |
|
Release Date
|
2024 | Dec 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
Varies by model | 20 requests/minute |
|
Daily Limit
|
10,000 neurons/day | 50 requests/day (up to 1000 with $10 topup) |
|
Capabilities
|
Code
|
No specific data
|
|
Performance Tier
|
B-Tier (Strong) | S-Tier (Elite) |
|
Speed Estimate
|
âš¡ Very Fast | âš¡ Very Fast |
|
Primary Use Case
|
💻 Code Generation | ⚡ Fast Chat & Apps |
|
Model Size
|
6.7B | ~1.5T (estimated) |
|
Limitations
|
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|
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Key Strengths
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