Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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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

Groq

Intelligence Score 78/100
Context Window 14.4k RPD, 6k TPM
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 78/100, Gemini 1.5 Pro outperforms Llama 3.1 8B by 12 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Gemini 1.5 Pro
Llama 3.1 8B
Context Window
2M Context, 2 RPM 14.4k RPD, 6k TPM
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~70-74%
Release Date
Feb-May 2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
2-15 RPM 30 RPM, 14.4k RPD
Daily Limit
1,500 RPD (Flash) / 50 RPD (Pro) 14,400 Requests/Day
Capabilities
Reasoning
No specific data
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
  • Test
Key Strengths
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

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