Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Llama 3.1 (Deployable)
Cerebrium
Intelligence Score
65/100
Model Popularity
0 votes
Context Window
128K
Pricing Model
Commercial / Paid
Gemma 2 9B Instruct
A-TIERHugging Face Inference
Intelligence Score
80/100
Context Window
8k
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Gemma 2 9B Instruct Wins
With an intelligence score of 80/100 vs 65/100, Gemma 2 9B Instruct outperforms Llama 3.1 (Deployable) by 15 points.
Clear Winner: Significant performance advantage for Gemma 2 9B Instruct.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Llama 3.1 (Deployable)
|
Gemma 2 9B Instruct
|
|---|---|---|
|
Context Window
|
128K | 8k |
|
Architecture
|
Transformer (Open Weight) | Transformer |
|
Est. MMLU Score
|
~60-64% | ~75-79% |
|
Release Date
|
Jul 2024 | 2024 |
|
Pricing Model
|
Paid / Commercial | Free Tier |
|
Rate Limit (RPM)
|
Pay-per-second compute | 300 Requests / hour |
|
Daily Limit
|
Credit-based | Dependent on global load |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
C-Tier (Good) | B-Tier (Strong) |
|
Speed Estimate
|
Medium | Medium |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
Undisclosed | 9B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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