Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Google: Gemini 2.0 Pro (free)

S-TIER

OpenRouter

Intelligence Score 96/100

Model Popularity 0 votes

Context Window 1M

Pricing Model Free / Open

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S-TIER

Chutes.ai

Intelligence Score 91/100

Context Window 32K

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 96/100 vs 91/100, Google: Gemini 2.0 Pro (free) outperforms Qwen 2.5 72B Instruct by 5 points.

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

HEAD-TO-HEAD

Feature	Google: Gemini 2.0 Pro (free)	Qwen 2.5 72B Instruct
Context Window	1M	32K
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~92-95%	~85-87%
Release Date	Dec 2024	Sep-Nov 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	20 requests/minute	Varies (community capacity)
Daily Limit	50 requests/day (up to 1000 with $10 topup)	Subject to availability
Capabilities	No specific data	No specific data
Performance Tier	S-Tier (Elite)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	⚡ Fast
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	~1.5T (estimated)	72B
Limitations	Limits depend on account history/topup Community key models Free models have lower priority during peak demand	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable
Key Strengths	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format