Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek-V4 Flash

A-TIER

DeepSeek

Intelligence Score 83/100

Model Popularity 0 votes

Context Window 1M

Pricing Model Commercial / Paid

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Ollama

Intelligence Score 65/100

Context Window 128K tokens

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 83/100 vs 65/100, DeepSeek-V4 Flash outperforms Phi-3.5 Mini by 18 points.

Clear Winner: Significant performance advantage for DeepSeek-V4 Flash.

HEAD-TO-HEAD

Feature	DeepSeek-V4 Flash	Phi-3.5 Mini
Context Window	1M	128K tokens
Architecture	Dense Transformer	Transformer
Est. MMLU Score	~75-79%	~60-64%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	Hardware limited
Daily Limit	Credit-based	Unlimited
Capabilities	No specific data	Reasoning
Performance Tier	B-Tier (Strong)	C-Tier (Good)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	⚡ Fast Chat & Apps	⚡ Fast Chat & Apps
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	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