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

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 3.1 405B Wins

With an intelligence score of 91/100 vs 80/100, Llama 3.1 405B outperforms DeepSeek-V4 Pro by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek-V4 Pro
Llama 3.1 405B
Context Window
128K 128K tokens
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM 10 RPM (free tier)
Daily Limit
Credit-based Limited daily usage
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 405B
Limitations
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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