Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 4 Scout

A-TIER

Groq

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 1k RPD, 30k TPM
Pricing Model Free / Open
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mistralai/mistral-7b-instruct-v0.2

Replicate

Intelligence Score 76/100
Context Window 32K tokens
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 4 Scout Wins

With an intelligence score of 87/100 vs 76/100, Llama 4 Scout outperforms mistralai/mistral-7b-instruct-v0.2 by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 4 Scout
mistralai/mistral-7b-instruct-v0.2
Context Window
1k RPD, 30k TPM 32K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~70-74%
Release Date
2026 (Latest) 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
30 RPM, 14.4k RPD Varies by model
Daily Limit
14,400 Requests/Day Credit-based
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 7b
Limitations
  • Test
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

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