Battle of the Models
Compare specific LLM models, context windows, and capabilities.
GPT-4o (via Coze)
S-TIERCoze
Intelligence Score
92/100
Model Popularity
0 votes
Context Window
128K
Pricing Model
Free / Open
Llama 3.3 70B
S-TIERGroq
Intelligence Score
94/100
Context Window
1k RPD, 12k TPM
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Llama 3.3 70B Wins
With an intelligence score of 94/100 vs 92/100, Llama 3.3 70B outperforms GPT-4o (via Coze) by 2 points.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
GPT-4o (via Coze)
|
Llama 3.3 70B
|
|---|---|---|
|
Context Window
|
128K | 1k RPD, 12k TPM |
|
Architecture
|
Transformer (Proprietary) | Transformer (Open Weight) |
|
Est. MMLU Score
|
~85-87% | ~88-91% |
|
Release Date
|
May-Nov 2024 | Dec 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
Varies by model | 30 RPM, 14.4k RPD |
|
Daily Limit
|
Token-based daily limits | 14,400 Requests/Day |
|
Capabilities
|
Vision
|
No specific data
|
|
Performance Tier
|
A-Tier (Excellent) | S-Tier (Elite) |
|
Speed Estimate
|
Medium | ⚡ Fast |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
~1.8T (estimated) | 70B |
|
Limitations
|
|
|
|
Key Strengths
|
|
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