Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek-V4 Pro

A-TIER

DeepSeek

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

Phi-4

A-TIER

GitHub Models

Intelligence Score 89/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Phi-4 Wins

With an intelligence score of 89/100 vs 80/100, Phi-4 outperforms DeepSeek-V4 Pro by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek-V4 Pro
Phi-4
Context Window
128K 128K
Architecture
Dense Transformer Transformer
Est. MMLU Score
~75-79% ~80-84%
Release Date
2024 Dec 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM 10 RPM (high-tier) / higher for mini-tier
Daily Limit
Credit-based 50 RPD (high-tier models) / 150 RPD (mini-tier models)
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
Key Strengths
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)
  • Prototyping

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