Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Gemini 2.0 Flash-Lite

S-TIER

Google AI Studio

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

Llama 3.1 70B

A-TIER

Lepton AI

Intelligence Score 87/100
Context Window 8K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Gemini 2.0 Flash-Lite Wins

With an intelligence score of 93/100 vs 87/100, Gemini 2.0 Flash-Lite outperforms Llama 3.1 70B by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Gemini 2.0 Flash-Lite
Llama 3.1 70B
Context Window
1M Context, 10 RPM 8K
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~88-91% ~80-84%
Release Date
Dec 2024 Jul 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
2-15 RPM 60 RPM
Daily Limit
1,500 RPD (Flash) / 50 RPD (Pro) Credit-based
Capabilities
No specific data
Reasoning
Performance Tier
S-Tier (Elite) A-Tier (Excellent)
Speed Estimate
âš¡ Very Fast âš¡ Fast
Primary Use Case
âš¡ Fast Chat & Apps General Purpose
Model Size
~1.5T (estimated) 70B
Limitations
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
  • Credits needed for production volume
  • Smaller model selection than aggregators
  • Focus on deployment over just API
Key Strengths
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed
  • Standard OpenAI-compatible APIs
  • Deploy custom models with one command
  • High throughput optimization

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