Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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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
View Provider Analysis →

DeepSeek-V4 Pro

A-TIER

DeepSeek

Intelligence Score 80/100
Context Window 128K
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 80/100, Llama 4 Scout outperforms DeepSeek-V4 Pro by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 4 Scout
DeepSeek-V4 Pro
Context Window
1k RPD, 30k TPM 128K
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~80-84% ~75-79%
Release Date
2026 (Latest) 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
30 RPM, 14.4k RPD 60 RPM
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 Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Test
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)

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