Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 1.5 Pro (via Coze)

S-TIER

Coze

Intelligence Score 90/100

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

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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 (via Coze) by 2 points.

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

HEAD-TO-HEAD

Feature	Gemini 1.5 Pro (via Coze)	Llama 3.1 405B Instruct
Context Window	1M	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)	Varies by model	60 RPM (varies by model)
Daily Limit	Token-based daily limits	Credit-based (no daily cap)
Capabilities	No specific data	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	Daily token limits on free tier Platform-specific API format Bot-centric usage model	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model
Key Strengths	Visual bot/agent builder Multi-model access (GPT-4o, Gemini) Plugin marketplace	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving