Battle of the Models

Compare specific LLM models, context windows, and capabilities.

MiniMax M2.7

A-TIER

Groq

Intelligence Score 81/100

Model Popularity 0 votes

Context Window 196K tokens

Pricing Model Free / Open

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A-TIER

LLM7.io

Intelligence Score 86/100

Context Window 256K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 86/100 vs 81/100, Codestral Latest outperforms MiniMax M2.7 by 5 points.

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

HEAD-TO-HEAD

Feature	MiniMax M2.7	Codestral Latest
Context Window	196K tokens	256K Context
Architecture	Transformer	Transformer
Est. MMLU Score	~75-79%	~80-84%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	30 RPM, 14.4k RPD	30 RPM (no signup) / 120 RPM (free email token)
Daily Limit	14,400 Requests/Day	Up to 5M tokens/day (rolling 24h, with free token)
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	⚡ Fast Chat & Apps	💻 Code Generation
Model Size	Undisclosed	Undisclosed
Limitations	Test	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use
Key Strengths	LPU Accelerated Extremely Fast Inference Open Source Models	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use