Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Groq Compound
Groq
Intelligence Score
65/100
Model Popularity
0 votes
Context Window
250 RPD, 70k TPM
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 65/100, Llama 3.3 70B outperforms Groq Compound by 29 points.
Clear Winner: Significant performance advantage for Llama 3.3 70B.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Groq Compound
|
Llama 3.3 70B
|
|---|---|---|
|
Context Window
|
250 RPD, 70k TPM | 1k RPD, 12k TPM |
|
Architecture
|
Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~60-64% | ~88-91% |
|
Release Date
|
2024 | Dec 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
30 RPM, 14.4k RPD | 30 RPM, 14.4k RPD |
|
Daily Limit
|
14,400 Requests/Day | 14,400 Requests/Day |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
C-Tier (Good) | S-Tier (Elite) |
|
Speed Estimate
|
Medium | ⚡ Fast |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
Undisclosed | 70B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
Groq Compound
vs
Meta: Llama 3.3 70B Instruct (free)
Llama 3.3 70B
vs
Meta: Llama 3.3 70B Instruct (free)
Groq Compound
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama 3.3 70B
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Groq Compound
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.3 70B
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.3 70B
vs
Llama 3.2 3B
Llama 3.3 70B
vs
Llama 3.1 (Any Size)
Llama 3.3 70B
vs
Llama 3.2 11B Vision
Llama 3.3 70B
vs
Llama 3.1 8B Instruct
Llama 3.3 70B
vs
meta/llama-3-70b-instruct
Llama 3.3 70B
vs
Llama 3.3 70B Instruct