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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S-TIER

GitHub Models

Intelligence Score 90/100

Context Window 128K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 90/100 vs 80/100, Mistral Large (24.11) outperforms DeepSeek-V4 Pro by 10 points.

HEAD-TO-HEAD

Feature	DeepSeek-V4 Pro	Mistral Large (24.11)
Context Window	128K	128K
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~75-79%	~85-87%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	10 RPM (high-tier) / higher for mini-tier
Daily Limit	Credit-based	50 RPD (high-tier models) / 150 RPD (mini-tier models)
Capabilities	No specific data	Reasoning Multilingual
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
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	Restrictive limits Requires GitHub account Rate limits vary by Copilot tier
Key Strengths	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)	Prototyping