Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen 2.5

LLM7.io

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Free / Open

Codestral (2508)

A-TIER

Mistral AI

Intelligence Score 86/100
Context Window 256K
Pricing Model Commercial / Paid
Model Popularity 0 votes
Commercial/Paid Model
FINAL VERDICT

Codestral (2508) Wins

With an intelligence score of 86/100 vs 65/100, Codestral (2508) outperforms Qwen 2.5 by 21 points.

Clear Winner: Significant performance advantage for Codestral (2508).
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5
Codestral (2508)
Context Window
32K 256K
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~60-64% ~80-84%
Release Date
Sep-Nov 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
30 RPM (no signup) / 120 RPM (free email token) 5,000 RPM
Daily Limit
Up to 5M tokens/day (rolling 24h, with free token) Based on tier
Capabilities
No specific data
Streaming JSON Mode
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose 💻 Code Generation
Model Size
Undisclosed Undisclosed
Limitations
  • No signup tier is heavily rate-limited (30 RPM)
  • Smaller, less well-known provider — verify uptime before production use
  • API key required
  • Limited availability
Key Strengths
  • Works with zero signup
  • OpenAI-compatible endpoint — swap base_url + key
  • No signup required for basic use
  • Code completion
  • July 2025 release

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