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

GPT-OSS 120B (Cloud)

Ollama Cloud

Intelligence Score 65/100
Context Window 131K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

DeepSeek-V4 Pro Wins

With an intelligence score of 80/100 vs 65/100, DeepSeek-V4 Pro outperforms GPT-OSS 120B (Cloud) by 15 points.

Clear Winner: Significant performance advantage for DeepSeek-V4 Pro.
HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek-V4 Pro
GPT-OSS 120B (Cloud)
Context Window
128K 131K tokens
Architecture
Dense Transformer Transformer (Proprietary)
Est. MMLU Score
~75-79% ~60-64%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM Light usage tier, 1 concurrent model
Daily Limit
Credit-based Session limit resets every few hours
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 120B
Limitations
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
  • No specific limitations documented
Key Strengths
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)

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