Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Llama 4 Scout

A-TIER

Groq

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 1k RPD, 30k TPM
Pricing Model Free / Open

Mistral Nemo

A-TIER

Mistral (La Plateforme)

Intelligence Score 80/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 4 Scout Wins

With an intelligence score of 87/100 vs 80/100, Llama 4 Scout outperforms Mistral Nemo by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 4 Scout
Mistral Nemo
Context Window
1k RPD, 30k TPM 128k
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~75-79%
Release Date
2026 (Latest) 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM, 14.4k RPD 1 request/second
Daily Limit
14,400 Requests/Day -
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Test
  • Phone verification required
  • Data training opt-in required
  • 1 request/second rate limit
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • Access to Mistral's open-weight models
  • OpenAI-compatible API endpoints
  • Function calling support

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