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

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Replicate

Intelligence Score 76/100

Context Window 32K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 76/100 vs 65/100, mistralai/mistral-7b-instruct-v0.2 outperforms Qwen 3.8 27B by 11 points.

HEAD-TO-HEAD

Feature	Qwen 3.8 27B	mistralai/mistral-7b-instruct-v0.2
Context Window	128K Context	32K tokens
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~70-74%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial)	Varies by model
Daily Limit	1M tokens/day	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	27B	7b
Limitations	Rate limited on free tier (30 RPM) Daily token cap of 1M tokens	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	Instant Token Generation Wafer-Scale Engine Speed OpenAI API Compatibility	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models