Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Gemini 1.5 Pro (via Coze)

S-TIER

Coze

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

Llama 3.1 8B Instruct

A-TIER

Cloudflare Workers AI

Intelligence Score 80/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemini 1.5 Pro (via Coze) Wins

With an intelligence score of 90/100 vs 80/100, Gemini 1.5 Pro (via Coze) outperforms Llama 3.1 8B Instruct by 10 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Gemini 1.5 Pro (via Coze)
Llama 3.1 8B Instruct
Context Window
1M 128K
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~75-79%
Release Date
Feb-May 2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model Varies by model
Daily Limit
Token-based daily limits 10,000 neurons/day
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
âš¡ Very Fast âš¡ Very Fast
Primary Use Case
âš¡ Fast Chat & Apps General Purpose
Model Size
~1.5T (estimated) 8B
Limitations
  • Daily token limits on free tier
  • Platform-specific API format
  • Bot-centric usage model
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • Visual bot/agent builder
  • Multi-model access (GPT-4o, Gemini)
  • Plugin marketplace
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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