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

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Requesty

Intelligence Score 65/100

Context Window Long context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 86/100 vs 65/100, Codestral Latest outperforms Poolside Laguna M.1 by 21 points.

Clear Winner: Significant performance advantage for Codestral Latest.

HEAD-TO-HEAD

Feature	Codestral Latest	Poolside Laguna M.1
Context Window	256K Context	Long context
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)	60 RPM
Daily Limit	Up to 5M tokens/day (rolling 24h, with free token)	50 requests/day (new orgs) / 200 requests/day (paying orgs), shared across all free models
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
Speed Estimate	Medium	Medium
Primary Use Case	💻 Code Generation	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency
Key Strengths	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing