Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek V3.2

S-TIER

Friendli AI

Intelligence Score 94/100
Model Popularity 0 votes
Context Window 164K Context
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 V3.2 Wins

With an intelligence score of 94/100 vs 80/100, DeepSeek V3.2 outperforms DeepSeek-V4 Pro by 14 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek V3.2
DeepSeek-V4 Pro
Context Window
164K Context 128K
Architecture
Dense Transformer Dense Transformer
Est. MMLU Score
~88-91% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
60 RPM 60 RPM
Daily Limit
Credit-based Credit-based
Capabilities
No specific data
No specific data
Performance Tier
S-Tier (Elite) B-Tier (Strong)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
Key Strengths
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)

Similar Comparisons