Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen 2.5

LLM7.io

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 32K

Pricing Model Free / Open

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A-TIER

DeepSeek

Intelligence Score 83/100

Context Window 1M

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 83/100 vs 65/100, DeepSeek-V4 Flash outperforms Qwen 2.5 by 18 points.

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

HEAD-TO-HEAD

Feature	Qwen 2.5	DeepSeek-V4 Flash
Context Window	32K	1M
Architecture	Transformer (Open Weight)	Dense Transformer
Est. MMLU Score	~60-64%	~75-79%
Release Date	Sep-Nov 2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	30 RPM (no signup) / 120 RPM (free email token)	60 RPM
Daily Limit	Up to 5M tokens/day (rolling 24h, with free token)	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	Undisclosed	Undisclosed
Limitations	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods
Key Strengths	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)