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

DeepInfra

Intelligence Score 92/100

Context Window 128K

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 96/100 vs 92/100, Google: Gemini 2.0 Pro (free) outperforms Llama 3.1 405B Instruct by 4 points.

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

HEAD-TO-HEAD

Feature	Google: Gemini 2.0 Pro (free)	Llama 3.1 405B Instruct
Context Window	1M	128K
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~92-95%	~85-87%
Release Date	Dec 2024	Jul 2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	20 requests/minute	60 RPM (varies by model)
Daily Limit	50 requests/day (up to 1000 with $10 topup)	Credit-based (no daily cap)
Capabilities	No specific data	Reasoning
Performance Tier	S-Tier (Elite)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	🐢 Slower (Reasoning)
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	~1.5T (estimated)	405B
Limitations	Limits depend on account history/topup Community key models Free models have lower priority during peak demand	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model
Key Strengths	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving