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 4 Scout (Fast)

A-TIER

Cerebras

Intelligence Score 87/100
Context Window 8K
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 (Fast) 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 (Fast)
Context Window
2M Context, 2 RPM 8K
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)
15 RPM (Flash) / 30 RPM (Flash-Lite) / 2 RPM (Pro) 30 RPM
Daily Limit
1,500 RPD (Flash) / 50 RPD (Pro) 1,000,000 Tokens / Day
Capabilities
Reasoning
No specific data
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
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
Key Strengths
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility

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