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 →

Qwen 2.5 VL 72B Instruct (free)

A-TIER

OpenRouter

Intelligence Score 83/100
Context Window 32k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Codestral Wins

With an intelligence score of 86/100 vs 83/100, Codestral outperforms Qwen 2.5 VL 72B Instruct (free) by 3 points.

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

Detailed Comparison

Feature
Codestral
Qwen 2.5 VL 72B Instruct (free)
Context Window
256k 32k
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~80-84% ~75-79%
Release Date
2024 Sep-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
1 request/second 20 requests/minute
Daily Limit
- 50 requests/day (up to 1000 with $10 topup)
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
💻 Code Generation 👁️ Vision & Multimodal
Model Size
Undisclosed 72B
Limitations
  • Phone verification required
  • Data training opt-in required
  • 1 request/second rate limit
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Access to Mistral's open-weight models
  • OpenAI-compatible API endpoints
  • Function calling support
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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