Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Codestral

A-TIER

Mistral (La Plateforme)

Intelligence Score 86/100
Model Popularity 0 votes
Context Window 256k
Pricing Model Free / Open
View Provider Analysis →

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 405B Wins

With an intelligence score of 91/100 vs 86/100, Llama 3.1 405B outperforms Codestral by 5 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Codestral
Llama 3.1 405B
Context Window
256k 128K tokens
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~80-84% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
1 request/second 10 RPM (free tier)
Daily Limit
- Limited daily usage
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
💻 Code Generation General Purpose
Model Size
Undisclosed 405B
Limitations
  • Phone verification required
  • Data training opt-in required
  • 1 request/second rate limit
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Access to Mistral's open-weight models
  • OpenAI-compatible API endpoints
  • Function calling support
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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