Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

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 70B Instruct

A-TIER

Chutes.ai

Intelligence Score 88/100
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 88/100, Gemini 1.5 Pro outperforms Llama 3.1 70B Instruct by 2 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Gemini 1.5 Pro
Llama 3.1 70B Instruct
Context Window
2M Context, 2 RPM 128K
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~80-84%
Release Date
Feb-May 2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
2-15 RPM Varies (community capacity)
Daily Limit
1,500 RPD (Flash) / 50 RPD (Pro) Subject to availability
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) 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
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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