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 80/100

Context Window 128K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 80/100 vs 65/100, Mistral Nemo Instruct 2407 outperforms Qwen 3.8 27B by 15 points.

Clear Winner: Significant performance advantage for Mistral Nemo Instruct 2407.

HEAD-TO-HEAD

Feature	Qwen 3.8 27B	Mistral Nemo Instruct 2407
Context Window	128K Context	128K Context
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~75-79%
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)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	General Purpose	General Purpose
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