Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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DeepSeek V3.1

S-TIER

SambaNova Cloud

Intelligence Score 94/100
Model Popularity 0 votes
Context Window Long context
Pricing Model Free / Open
View Provider Analysis →

Llama 3.1 405B

DEPRECATED

Venice.ai

This model is no longer active/free — kept for reference.

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

DeepSeek V3.1 Wins

With an intelligence score of 94/100 vs 91/100, DeepSeek V3.1 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 V3.1
Llama 3.1 405B
Context Window
Long context 128K tokens
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~88-91% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model 10 RPM (free tier)
Daily Limit
Dependent on credits Limited daily usage
Capabilities
No specific data
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
  • Free credits are one-time for new users
  • Context window varies by model (8k - 128k)
  • Rate limits apply to free tier
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • SambaNova SN40L RDU Chip
  • Dataflow Architecture
  • Record-Breaking Speed
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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