Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemma 4 26B A4B

Cloudflare Workers AI

Intelligence Score 65/100

Model Popularity 0 votes

Context Window Long context

Pricing Model Free / Open

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Ollama

Intelligence Score 65/100

Context Window 128K tokens

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

Equal intelligence scores (65/100), but Phi-3.5 Mini offers a significantly larger context window.

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

HEAD-TO-HEAD

Feature	Gemma 4 26B A4B	Phi-3.5 Mini
Context Window	Long context	128K tokens
Architecture	Transformer	Transformer
Est. MMLU Score	~60-64%	~60-64%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Varies by model	Hardware limited
Daily Limit	10,000 neurons/day	Unlimited
Capabilities	No specific data	Reasoning
Performance Tier	C-Tier (Good)	C-Tier (Good)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	26B	Undisclosed
Limitations	10,000 neurons/day cap (varies per model) Larger models consume more neurons per request No fine-tuning support	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware
Key Strengths	Edge inference: runs closest to user 50+ models: LLM, image gen, classification, speech Workers integration for serverless apps	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration