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 Instruct
S-TIERFireworks AI
Intelligence Score
94/100
Context Window
128K
Pricing Model
Commercial / Paid
Model Popularity
0 votes
FINAL VERDICT
Llama 3.3 70B Instruct Wins
With an intelligence score of 94/100 vs 92/100, Llama 3.3 70B Instruct 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 Instruct
|
|---|---|---|
|
Context Window
|
128K | 128K |
|
Architecture
|
Transformer (Proprietary) | Transformer (Open Weight) |
|
Est. MMLU Score
|
~85-87% | ~88-91% |
|
Release Date
|
May-Nov 2024 | Dec 2024 |
|
Pricing Model
|
Free Tier | Paid / Commercial |
|
Rate Limit (RPM)
|
Varies by model | 600 RPM |
|
Daily Limit
|
Token-based daily limits | Credit-based |
|
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
|
|
|
Similar Comparisons
GPT-4o (via Coze)
vs
Meta: Llama 3.3 70B Instruct (free)
Llama 3.3 70B Instruct
vs
Meta: Llama 3.3 70B Instruct (free)
GPT-4o (via Coze)
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama 3.3 70B Instruct
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
GPT-4o (via Coze)
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.3 70B Instruct
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.3 70B Instruct
vs
Llama 3.2 3B
Llama 3.3 70B Instruct
vs
Llama 3.1 (Any Size)
Llama 3.3 70B Instruct
vs
Llama 3.2 11B Vision
Llama 3.3 70B Instruct
vs
Llama 3.1 8B Instruct
Llama 3.3 70B Instruct
vs
meta/llama-3-70b-instruct
Llama 3.3 70B Instruct
vs
Qwen 2.5 72B Instruct