Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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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
View Provider Analysis →

Gemini 2.0 Flash-Lite

S-TIER

Google AI Studio

Intelligence Score 93/100
Context Window 1M Context, 10 RPM
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Gemini 2.0 Flash-Lite Wins

With an intelligence score of 93/100 vs 80/100, Gemini 2.0 Flash-Lite outperforms Llama 3.1 8B Instruct by 13 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 8B Instruct
Gemini 2.0 Flash-Lite
Context Window
128K 1M Context, 10 RPM
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~75-79% ~88-91%
Release Date
Jul 2024 Dec 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model 2-15 RPM
Daily Limit
10,000 neurons/day 1,500 RPD (Flash) / 50 RPD (Pro)
Capabilities
Reasoning
No specific data
Performance Tier
B-Tier (Strong) S-Tier (Elite)
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
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed

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