Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Llama 3.1 405B
S-TIERVenice.ai
Intelligence Score
91/100
Model Popularity
0 votes
Context Window
128K tokens
Pricing Model
Free / Open
Flux.1 Dev
S-TIERHugging Face Inference
Intelligence Score
91/100
Context Window
Image
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Llama 3.1 405B Wins
Equal intelligence scores (91/100), but Llama 3.1 405B offers a significantly larger context window.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Llama 3.1 405B
|
Flux.1 Dev
|
|---|---|---|
|
Context Window
|
128K tokens | Image |
|
Architecture
|
Transformer (Open Weight) | Diffusion |
|
Est. MMLU Score
|
~85-87% | ~85-87% |
|
Release Date
|
Jul 2024 | 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
10 RPM (free tier) | 300 Requests / hour |
|
Daily Limit
|
Limited daily usage | Dependent on global load |
|
Capabilities
|
Reasoning
|
No specific data
|
|
Performance Tier
|
A-Tier (Excellent) | A-Tier (Excellent) |
|
Speed Estimate
|
🐢 Slower (Reasoning) | Medium |
|
Primary Use Case
|
General Purpose | 🎨 Image Generation |
|
Model Size
|
405B | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
Llama 3.1 405B
vs
Meta: Llama 3.3 70B Instruct (free)
Flux.1 Dev
vs
Meta: Llama 3.3 70B Instruct (free)
Llama 3.1 405B
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Flux.1 Dev
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama 3.1 405B
vs
DeepSeek: R1 Distill Llama 70B (free)
Flux.1 Dev
vs
DeepSeek: R1 Distill Llama 70B (free)
Flux.1 Dev
vs
Llama 3.2 3B
Flux.1 Dev
vs
Llama 3.1 (Any Size)
Flux.1 Dev
vs
Llama 3.2 11B Vision
Flux.1 Dev
vs
Llama 3.1 8B Instruct
Flux.1 Dev
vs
Qwen 2.5 72B Instruct
Flux.1 Dev
vs
Gemma 2 9B Instruct