Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Gemini 1.5 Pro (via Coze)

S-TIER

Coze

Intelligence Score 90/100
Model Popularity 0 votes
Context Window 1M
Pricing Model Free / Open
View Provider Analysis →

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 405B Wins

With an intelligence score of 91/100 vs 90/100, Llama 3.1 405B outperforms Gemini 1.5 Pro (via Coze) by 1 point.

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

Detailed Comparison

Feature
Gemini 1.5 Pro (via Coze)
Llama 3.1 405B
Context Window
1M 128K tokens
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~85-87%
Release Date
Feb-May 2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model 10 RPM (free tier)
Daily Limit
Token-based daily limits Limited daily usage
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
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Visual bot/agent builder
  • Multi-model access (GPT-4o, Gemini)
  • Plugin marketplace
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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