Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Codestral Latest

A-TIER

LLM7.io

Intelligence Score 86/100

Model Popularity 0 votes

Context Window 256K Context

Pricing Model Free / Open

View Provider Analysis →

Cloudflare Workers AI

Intelligence Score 71/100

Context Window 32K

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 86/100 vs 71/100, Codestral Latest outperforms Qwen 1.5 7B Chat by 15 points.

Clear Winner: Significant performance advantage for Codestral Latest.

HEAD-TO-HEAD

Feature	Codestral Latest	Qwen 1.5 7B Chat
Context Window	256K Context	32K
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~65-69%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	30 RPM (no signup) / 120 RPM (free email token)	Varies by model
Daily Limit	Up to 5M tokens/day (rolling 24h, with free token)	10,000 neurons/day
Capabilities	No specific data	Chinese
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	💻 Code Generation	General Purpose
Model Size	Undisclosed	7B
Limitations	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use	10,000 neurons/day cap (varies per model) Larger models consume more neurons per request No fine-tuning support
Key Strengths	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use	Edge inference: runs closest to user 50+ models: LLM, image gen, classification, speech Workers integration for serverless apps