Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek-V4 Flash

A-TIER

DeepSeek

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 1M
Pricing Model Commercial / Paid

Llama 3.2 3B

Ollama

Intelligence Score 75/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

DeepSeek-V4 Flash Wins

With an intelligence score of 83/100 vs 75/100, DeepSeek-V4 Flash outperforms Llama 3.2 3B by 8 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek-V4 Flash
Llama 3.2 3B
Context Window
1M 128K tokens
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~70-74%
Release Date
2024 Sep 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM Hardware limited
Daily Limit
Credit-based Unlimited
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 3B
Limitations
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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