Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek V3

S-TIER

DeepInfra

Intelligence Score 94/100

Model Popularity 0 votes

Context Window 64K

Pricing Model Commercial / Paid

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S-TIER

OpenRouter

Intelligence Score 96/100

Context Window 1M

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 96/100 vs 94/100, Google: Gemini 2.0 Pro (free) outperforms DeepSeek V3 by 2 points.

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

HEAD-TO-HEAD

Feature	DeepSeek V3	Google: Gemini 2.0 Pro (free)
Context Window	64K	1M
Architecture	Dense Transformer	Transformer (Proprietary)
Est. MMLU Score	~88-91%	~92-95%
Release Date	2024	Dec 2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM (varies by model)	20 requests/minute
Daily Limit	Credit-based (no daily cap)	50 requests/day (up to 1000 with $10 topup)
Capabilities	Reasoning	No specific data
Performance Tier	S-Tier (Elite)	S-Tier (Elite)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	Undisclosed	~1.5T (estimated)
Limitations	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing