Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek-R1

S-TIER

Chutes.ai

Intelligence Score 97/100
Model Popularity 0 votes
Context Window 64K
Pricing Model Free / Open

DeepSeek-V4 Pro

A-TIER

DeepSeek

Intelligence Score 80/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

DeepSeek-R1 Wins

With an intelligence score of 97/100 vs 80/100, DeepSeek-R1 outperforms DeepSeek-V4 Pro by 17 points.

Clear Winner: Significant performance advantage for DeepSeek-R1.
HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek-R1
DeepSeek-V4 Pro
Context Window
64K 128K
Architecture
Dense Transformer Dense Transformer
Est. MMLU Score
~92-95% ~75-79%
Release Date
Jan 2025 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Varies (community capacity) 60 RPM
Daily Limit
Subject to availability Credit-based
Capabilities
Reasoning
No specific data
Performance Tier
S-Tier (Elite) B-Tier (Strong)
Speed Estimate
🐢 Slower (Reasoning) Medium
Primary Use Case
🧠 Complex Reasoning General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)

Similar Comparisons