Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Gemma 2 9B Instruct
A-TIERHugging Face Inference
Intelligence Score
80/100
Model Popularity
0 votes
Context Window
8k
Pricing Model
Free / Open
DeepSeek Coder V2
A-TIEROllama
Intelligence Score
85/100
Context Window
64K tokens
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
DeepSeek Coder V2 Wins
With an intelligence score of 85/100 vs 80/100, DeepSeek Coder V2 outperforms Gemma 2 9B Instruct by 5 points.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Gemma 2 9B Instruct
|
DeepSeek Coder V2
|
|---|---|---|
|
Context Window
|
8k | 64K tokens |
|
Architecture
|
Transformer | Dense Transformer |
|
Est. MMLU Score
|
~75-79% | ~80-84% |
|
Release Date
|
2024 | 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
300 Requests / hour | Hardware limited |
|
Daily Limit
|
Dependent on global load | Unlimited |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
B-Tier (Strong) | A-Tier (Excellent) |
|
Speed Estimate
|
Medium | Medium |
|
Primary Use Case
|
General Purpose | 💻 Code Generation |
|
Model Size
|
9B | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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