Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Codestral Latest

A-TIER

LLM7.io

Intelligence Score 86/100
Model Popularity 0 votes
Context Window 256K Context
Pricing Model Free / Open

Phi-3.5 Mini

Ollama

Intelligence Score 65/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Codestral Latest Wins

With an intelligence score of 86/100 vs 65/100, Codestral Latest outperforms Phi-3.5 Mini by 21 points.

Clear Winner: Significant performance advantage for Codestral Latest.
HEAD-TO-HEAD

Detailed Comparison

Feature
Codestral Latest
Phi-3.5 Mini
Context Window
256K Context 128K tokens
Architecture
Transformer Transformer
Est. MMLU Score
~80-84% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM (no signup) / 120 RPM (free email token) Hardware limited
Daily Limit
Up to 5M tokens/day (rolling 24h, with free token) Unlimited
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
💻 Code Generation ⚡ Fast Chat & Apps
Model Size
Undisclosed Undisclosed
Limitations
  • No signup tier is heavily rate-limited (30 RPM)
  • Smaller, less well-known provider — verify uptime before production use
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Works with zero signup
  • OpenAI-compatible endpoint — swap base_url + key
  • No signup required for basic use
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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