Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Meta: Llama 4 Scout (free)

A-TIER

OpenRouter

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 128k
Pricing Model Free / Open
View Provider Analysis →

DeepSeek-R1

S-TIER

NVIDIA NIM

Intelligence Score 97/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek-R1 Wins

With an intelligence score of 97/100 vs 87/100, DeepSeek-R1 outperforms Meta: Llama 4 Scout (free) by 10 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Meta: Llama 4 Scout (free)
DeepSeek-R1
Context Window
128k 128K
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~80-84% ~92-95%
Release Date
2026 (Latest) Jan 2025
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
20 requests/minute 40 requests/minute
Daily Limit
50 requests/day (up to 1000 with $10 topup) -
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
⚡ Very Fast 🐢 Slower (Reasoning)
Primary Use Case
General Purpose 🧠 Complex Reasoning
Model Size
Undisclosed Undisclosed
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Phone number verification required
  • Free credits are limited
  • Rate limits on free tier
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • High performance models

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