Battle of the Models
Compare specific LLM models, context windows, and capabilities.
GPT-4o (via routing)
S-TIERRequesty
Intelligence Score
92/100
Model Popularity
0 votes
Context Window
128K
Pricing Model
Commercial / Paid
Llama 3.1 (Deployable)
Cerebrium
Intelligence Score
65/100
Context Window
128K
Pricing Model
Commercial / Paid
Model Popularity
0 votes
FINAL VERDICT
GPT-4o (via routing) Wins
With an intelligence score of 92/100 vs 65/100, GPT-4o (via routing) outperforms Llama 3.1 (Deployable) by 27 points.
Clear Winner: Significant performance advantage for GPT-4o (via routing).
HEAD-TO-HEAD
Detailed Comparison
| Feature |
GPT-4o (via routing)
|
Llama 3.1 (Deployable)
|
|---|---|---|
|
Context Window
|
128K | 128K |
|
Architecture
|
Transformer (Proprietary) | Transformer (Open Weight) |
|
Est. MMLU Score
|
~85-87% | ~60-64% |
|
Release Date
|
May-Nov 2024 | Jul 2024 |
|
Pricing Model
|
Paid / Commercial | Paid / Commercial |
|
Rate Limit (RPM)
|
60 RPM | Pay-per-second compute |
|
Daily Limit
|
Credit-based | Credit-based |
|
Capabilities
|
Vision
|
No specific data
|
|
Performance Tier
|
A-Tier (Excellent) | C-Tier (Good) |
|
Speed Estimate
|
Medium | Medium |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
~1.8T (estimated) | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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