Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Phi-2

Cloudflare Workers AI

Intelligence Score 70/100

Model Popularity 0 votes

Context Window 2K

Pricing Model Free / Open

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Cerebras

Intelligence Score 65/100

Context Window 128K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 70/100 vs 65/100, Phi-2 outperforms Qwen 3.8 27B by 5 points.

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

HEAD-TO-HEAD

Feature	Phi-2	Qwen 3.8 27B
Context Window	2K	128K Context
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~65-69%	~60-64%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Varies by model	5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial)
Daily Limit	10,000 neurons/day	1M tokens/day
Capabilities	Reasoning	No specific data
Performance Tier	C-Tier (Good)	C-Tier (Good)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	27B
Limitations	10,000 neurons/day cap (varies per model) Larger models consume more neurons per request No fine-tuning support	Rate limited on free tier (30 RPM) Daily token cap of 1M tokens
Key Strengths	Edge inference: runs closest to user 50+ models: LLM, image gen, classification, speech Workers integration for serverless apps	Instant Token Generation Wafer-Scale Engine Speed OpenAI API Compatibility