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 4 Scout Instruct (Free)

A-TIER

Together.AI

Intelligence Score 87/100
Context Window 512K tokens
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 87/100, Gemini 1.5 Pro outperforms Llama 4 Scout Instruct (Free) by 3 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 4 Scout Instruct (Free)
Context Window
2M Context, 2 RPM 512K tokens
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~80-84%
Release Date
Feb-May 2024 2026 (Latest)
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
5-30 RPM (varies by model) Subject to availability
Daily Limit
9000 RPD (Flash) / 25 RPD (3.1 Pro) Unlimited (Research Preview)
Capabilities
Reasoning
Multimodal
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
~1.5T (estimated) Undisclosed
Limitations
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
  • Limited to specific free models
  • Research preview availability
Key Strengths
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed
  • Host of specific free research models
  • Open-weight model hosting
  • Access to ServiceNow Apriel models

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