Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Mistral Large (24.11)
S-TIERGitHub Models
Intelligence Score
90/100
Model Popularity
0 votes
Context Window
128K
Pricing Model
Free / Open
DeepSeek Coder V2
A-TIEROllama
Intelligence Score
85/100
Context Window
64K tokens
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Mistral Large (24.11) Wins
With an intelligence score of 90/100 vs 85/100, Mistral Large (24.11) outperforms DeepSeek Coder V2 by 5 points.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Mistral Large (24.11)
|
DeepSeek Coder V2
|
|---|---|---|
|
Context Window
|
128K | 64K tokens |
|
Architecture
|
Transformer (Open Weight) | Dense Transformer |
|
Est. MMLU Score
|
~85-87% | ~80-84% |
|
Release Date
|
2024 | 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
Varies by Copilot Tier | Hardware limited |
|
Daily Limit
|
Low | Unlimited |
|
Capabilities
|
Reasoning
Multilingual
|
No specific data
|
|
Performance Tier
|
A-Tier (Excellent) | A-Tier (Excellent) |
|
Speed Estimate
|
Medium | Medium |
|
Primary Use Case
|
General Purpose | 💻 Code Generation |
|
Model Size
|
Undisclosed | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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