Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 1.5 Pro

S-TIER

Google AI Studio

Intelligence Score 90/100

Model Popularity 0 votes

Context Window 2M Context, 2 RPM

Pricing Model Free / Open

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A-TIER

Cloudflare Workers AI

Intelligence Score 83/100

Context Window 16K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 90/100 vs 83/100, Gemini 1.5 Pro outperforms DeepSeek Coder 6.7B by 7 points.

HEAD-TO-HEAD

Feature	Gemini 1.5 Pro	DeepSeek Coder 6.7B
Context Window	2M Context, 2 RPM	16K
Architecture	Transformer (Proprietary)	Dense Transformer
Est. MMLU Score	~85-87%	~75-79%
Release Date	Feb-May 2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	2-15 RPM	Varies by model
Daily Limit	1,500 RPD (Flash) / 50 RPD (Pro)	10,000 neurons/day
Capabilities	Reasoning	Code
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	⚡ Fast Chat & Apps	💻 Code Generation
Model Size	~1.5T (estimated)	6.7B
Limitations	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier	10,000 neurons/day cap (varies per model) Larger models consume more neurons per request No fine-tuning support
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	Edge inference: runs closest to user 50+ models: LLM, image gen, classification, speech Workers integration for serverless apps