Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek-V4 Pro

A-TIER

DeepSeek

Intelligence Score 80/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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LM Studio

Intelligence Score 65/100

Context Window Varies

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 80/100 vs 65/100, DeepSeek-V4 Pro outperforms Mistral (Any version) by 15 points.

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

HEAD-TO-HEAD

Feature	DeepSeek-V4 Pro	Mistral (Any version)
Context Window	128K	Varies
Architecture	Dense Transformer	Transformer (Open Weight)
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	No specific data
Performance Tier	B-Tier (Strong)	C-Tier (Good)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	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	Closed source application Large downloads Hardware dependent performance
Key Strengths	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)	Model Discovery: Built-in search of HuggingFace GGUF Support: Optimized quantized models GPU Offload: Mix CPU/GPU layers