Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek V3

S-TIER

DeepInfra

Intelligence Score 94/100
Model Popularity 0 votes
Context Window 64K
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

DeepSeek V3 Wins

With an intelligence score of 94/100 vs 91/100, DeepSeek V3 outperforms Llama 3.1 405B by 3 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek V3
Llama 3.1 405B
Context Window
64K 128K tokens
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~88-91% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM (varies by model) 10 RPM (free tier)
Daily Limit
Credit-based (no daily cap) Limited daily usage
Capabilities
Reasoning
Reasoning
Performance Tier
S-Tier (Elite) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 405B
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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