Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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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
View Provider Analysis →

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
View Provider Analysis →
FINAL VERDICT

Gemini 1.5 Pro Wins

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

HEAD-TO-HEAD

Detailed Comparison

Feature
Gemini 1.5 Pro
Llama 3.1 8B Instruct
Context Window
2M Context, 2 RPM 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)
2-15 RPM Varies by model
Daily Limit
1,500 RPD (Flash) / 50 RPD (Pro) 10,000 neurons/day
Capabilities
Reasoning
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
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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