Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Mistral Medium 3.5 128B
A-TIERScaleway Generative APIs
Intelligence Score
84/100
Model Popularity
0 votes
Context Window
128K Context
Pricing Model
Free / Open
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 84/100, Llama 3.1 405B outperforms Mistral Medium 3.5 128B by 7 points.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Mistral Medium 3.5 128B
|
Llama 3.1 405B
|
|---|---|---|
|
Context Window
|
128K Context | 128K tokens |
|
Architecture
|
Transformer (Open Weight) | Transformer (Open Weight) |
|
Est. MMLU Score
|
~75-79% | ~85-87% |
|
Release Date
|
2024 | Jul 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
60 RPM | 10 RPM (free tier) |
|
Daily Limit
|
Credit-based | Limited daily usage |
|
Capabilities
|
No specific data
|
Reasoning
|
|
Performance Tier
|
B-Tier (Strong) | A-Tier (Excellent) |
|
Speed Estimate
|
⚡ Very Fast | 🐢 Slower (Reasoning) |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
128B | 405B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
Mistral Medium 3.5 128B
vs
Meta: Llama 3.3 70B Instruct (free)
Llama 3.1 405B
vs
Meta: Llama 3.3 70B Instruct (free)
Mistral Medium 3.5 128B
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama 3.1 405B
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Mistral Medium 3.5 128B
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.1 405B
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.1 405B
vs
Mistral: Small 3 (free)
Llama 3.1 405B
vs
Meta: Llama 4 Maverick (free)
Llama 3.1 405B
vs
Meta: Llama 4 Scout (free)
Llama 3.1 405B
vs
Llama 4 Scout Instruct (Free)
Llama 3.1 405B
vs
Mistral 7B
Llama 3.1 405B
vs
Mistral Small