Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen 3.8 27B

Cerebras

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 128K Context

Pricing Model Free / Open

View Provider Analysis →

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 65/100, Codestral Latest outperforms Qwen 3.8 27B by 21 points.

Clear Winner: Significant performance advantage for Codestral Latest.

HEAD-TO-HEAD

Feature	Qwen 3.8 27B	Codestral Latest
Context Window	128K Context	256K Context
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~60-64%	~80-84%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial)	30 RPM (no signup) / 120 RPM (free email token)
Daily Limit	1M tokens/day	Up to 5M tokens/day (rolling 24h, with free token)
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	General Purpose	💻 Code Generation
Model Size	27B	Undisclosed
Limitations	Rate limited on free tier (30 RPM) Daily token cap of 1M tokens	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use
Key Strengths	Instant Token Generation Wafer-Scale Engine Speed OpenAI API Compatibility	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use