Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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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

DeepSeek V4 Pro (0813)

A-TIER

NVIDIA NIM

Intelligence Score 80/100
Context Window Long context
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

DeepSeek V3.1 Wins

With an intelligence score of 94/100 vs 80/100, DeepSeek V3.1 outperforms DeepSeek V4 Pro (0813) by 14 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek V3.1
DeepSeek V4 Pro (0813)
Context Window
Long context Long context
Architecture
Dense Transformer Dense Transformer
Est. MMLU Score
~88-91% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model 40 requests/minute
Daily Limit
Dependent on credits -
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
  • Free credits are one-time for new users
  • Context window varies by model (8k - 128k)
  • Rate limits apply to free tier
  • Phone number verification required
  • Free credits are limited
  • Rate limits on free tier
Key Strengths
  • SambaNova SN40L RDU Chip
  • Dataflow Architecture
  • Record-Breaking Speed
  • High performance models

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