Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 2.0 Flash Thinking

S-TIER

Google AI Studio

Intelligence Score 94/100

Model Popularity 0 votes

Context Window 1M Context, 10 RPM

Pricing Model Free / Open

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S-TIER

Coze

Intelligence Score 90/100

Context Window 1M

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 94/100 vs 90/100, Gemini 2.0 Flash Thinking outperforms Gemini 1.5 Pro (via Coze) by 4 points.

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

HEAD-TO-HEAD

Feature	Gemini 2.0 Flash Thinking	Gemini 1.5 Pro (via Coze)
Context Window	1M Context, 10 RPM	1M
Architecture	Transformer (Proprietary)	Transformer (Proprietary)
Est. MMLU Score	~88-91%	~85-87%
Release Date	Dec 2024	Feb-May 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	5-30 RPM (varies by model)	Varies by model
Daily Limit	9000 RPD (Flash) / 25 RPD (3.1 Pro)	Token-based daily limits
Capabilities	Thinking Reasoning	No specific data
Performance Tier	S-Tier (Elite)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	⚡ Fast Chat & Apps	⚡ Fast Chat & Apps
Model Size	~1.5T (estimated)	~1.5T (estimated)
Limitations	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier	Daily token limits on free tier Platform-specific API format Bot-centric usage model
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	Visual bot/agent builder Multi-model access (GPT-4o, Gemini) Plugin marketplace