Battle of the Models
Compare specific LLM models, context windows, and capabilities.
OpenLLM Generic
BentoML
Intelligence Score
65/100
Model Popularity
0 votes
Context Window
Varies
Pricing Model
Commercial / Paid
Llama 3.1 405B
S-TIERVenice.ai
Intelligence Score
91/100
Context Window
128K tokens
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Llama 3.1 405B Wins
With an intelligence score of 91/100 vs 65/100, Llama 3.1 405B outperforms OpenLLM Generic by 26 points.
Clear Winner: Significant performance advantage for Llama 3.1 405B.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
OpenLLM Generic
|
Llama 3.1 405B
|
|---|---|---|
|
Context Window
|
Varies | 128K tokens |
|
Architecture
|
Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~60-64% | ~85-87% |
|
Release Date
|
2024 | Jul 2024 |
|
Pricing Model
|
Paid / Commercial | Free Tier |
|
Rate Limit (RPM)
|
Hardware dependent | 10 RPM (free tier) |
|
Daily Limit
|
Unlimited | Limited daily usage |
|
Capabilities
|
No specific data
|
Reasoning
|
|
Performance Tier
|
C-Tier (Good) | A-Tier (Excellent) |
|
Speed Estimate
|
Medium | 🐢 Slower (Reasoning) |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
Undisclosed | 405B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
OpenLLM Generic
vs
Meta: Llama 3.3 70B Instruct (free)
Llama 3.1 405B
vs
Meta: Llama 3.3 70B Instruct (free)
OpenLLM Generic
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama 3.1 405B
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
OpenLLM Generic
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.1 405B
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.1 405B
vs
Llama 3.2 3B
Llama 3.1 405B
vs
Llama 3.1 (Any Size)
Llama 3.1 405B
vs
Llama 3.1 8B Instruct
Llama 3.1 405B
vs
Llama 3.2 11B Vision
Llama 3.1 405B
vs
meta/llama-3-70b-instruct
Llama 3.1 405B
vs
Llama 3.3 70B Instruct