Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 1.5 Pro

S-TIER

Google AI Studio

Intelligence Score 90/100

Model Popularity 0 votes

Context Window 2M Context, 2 RPM

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

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FINAL VERDICT

With an intelligence score of 92/100 vs 90/100, Llama 3.1 405B Instruct outperforms Gemini 1.5 Pro by 2 points.

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

HEAD-TO-HEAD

Feature	Gemini 1.5 Pro	Llama 3.1 405B Instruct
Context Window	2M Context, 2 RPM	128K
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~85-87%	~85-87%
Release Date	Feb-May 2024	Jul 2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	2-15 RPM	60 RPM (varies by model)
Daily Limit	1,500 RPD (Flash) / 50 RPD (Pro)	Credit-based (no daily cap)
Capabilities	Reasoning	Reasoning
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	🐢 Slower (Reasoning)
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	~1.5T (estimated)	405B
Limitations	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving