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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S-TIER

Chutes.ai

Intelligence Score 91/100

Context Window 32K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 91/100 vs 83/100, Qwen 2.5 72B Instruct outperforms DeepSeek-V4 Flash by 8 points.

HEAD-TO-HEAD

Feature	DeepSeek-V4 Flash	Qwen 2.5 72B Instruct
Context Window	1M	32K
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~75-79%	~85-87%
Release Date	2024	Sep-Nov 2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	Varies (community capacity)
Daily Limit	Credit-based	Subject to availability
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	⚡ Fast
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	Undisclosed	72B
Limitations	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable
Key Strengths	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format