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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A-TIER

Replicate

Intelligence Score 83/100

Context Window 8K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 96/100 vs 83/100, Google: Gemini 2.0 Pro (free) outperforms meta/llama-3-70b-instruct by 13 points.

HEAD-TO-HEAD

Feature	Google: Gemini 2.0 Pro (free)	meta/llama-3-70b-instruct
Context Window	1M	8K tokens
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~92-95%	~75-79%
Release Date	Dec 2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	20 requests/minute	Varies by model
Daily Limit	50 requests/day (up to 1000 with $10 topup)	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	S-Tier (Elite)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	⚡ Fast
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	~1.5T (estimated)	70b
Limitations	Limits depend on account history/topup Community key models Free models have lower priority during peak demand	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models