Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek-R1

S-TIER

NVIDIA NIM

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

Meta: Llama 4 Scout (free)

A-TIER

OpenRouter

Intelligence Score 87/100
Context Window 128k
Pricing Model Free / Open
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
DeepSeek-R1
Meta: Llama 4 Scout (free)
Context Window
128K 128k
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~92-95% ~80-84%
Release Date
Jan 2025 2026 (Latest)
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
40 requests/minute 20 requests/minute
Daily Limit
- 50 requests/day (up to 1000 with $10 topup)
Capabilities
No specific data
No specific data
Performance Tier
S-Tier (Elite) A-Tier (Excellent)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Very Fast
Primary Use Case
🧠 Complex Reasoning General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Phone number verification required
  • Free credits are limited
  • Rate limits on free tier
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • High performance models
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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