Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 8B Instruct

A-TIER

Cloudflare Workers AI

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

Gemini 1.5 Pro (via Coze)

S-TIER

Coze

Intelligence Score 90/100
Context Window 1M
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
Llama 3.1 8B Instruct
Gemini 1.5 Pro (via Coze)
Context Window
128K 1M
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~75-79% ~85-87%
Release Date
Jul 2024 Feb-May 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model Varies by model
Daily Limit
10,000 neurons/day Token-based daily limits
Capabilities
Reasoning
No specific data
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
âš¡ Very Fast âš¡ Very Fast
Primary Use Case
General Purpose âš¡ Fast Chat & Apps
Model Size
8B ~1.5T (estimated)
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • Daily token limits on free tier
  • Platform-specific API format
  • Bot-centric usage model
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • Visual bot/agent builder
  • Multi-model access (GPT-4o, Gemini)
  • Plugin marketplace

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