Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek Flash (V4.1)

A-TIER

DeepSeek

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 1M Context
Pricing Model Free / Open

DeepSeek V3.1

S-TIER

SambaNova Cloud

Intelligence Score 94/100
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 83/100, DeepSeek V3.1 outperforms DeepSeek Flash (V4.1) by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek Flash (V4.1)
DeepSeek V3.1
Context Window
1M Context Long context
Architecture
Dense Transformer Dense Transformer
Est. MMLU Score
~75-79% ~88-91%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
60 RPM Varies by model
Daily Limit
Credit-based Dependent on credits
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) S-Tier (Elite)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
  • Free credits are one-time for new users
  • Context window varies by model (8k - 128k)
  • Rate limits apply to free tier
Key Strengths
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)
  • SambaNova SN40L RDU Chip
  • Dataflow Architecture
  • Record-Breaking Speed

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