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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S-TIER

Google AI Studio

Intelligence Score 94/100

Context Window 1M Context, 10 RPM

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 94/100 vs 65/100, Gemini 2.0 Flash Thinking outperforms Qwen 2.5 by 29 points.

Clear Winner: Significant performance advantage for Gemini 2.0 Flash Thinking.

HEAD-TO-HEAD

Feature	Qwen 2.5	Gemini 2.0 Flash Thinking
Context Window	32K	1M Context, 10 RPM
Architecture	Transformer (Open Weight)	Transformer (Proprietary)
Est. MMLU Score	~60-64%	~88-91%
Release Date	Sep-Nov 2024	Dec 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	30 RPM (no signup) / 120 RPM (free email token)	5-30 RPM (varies by model)
Daily Limit	Up to 5M tokens/day (rolling 24h, with free token)	9000 RPD (Flash) / 25 RPD (3.1 Pro)
Capabilities	No specific data	Thinking Reasoning
Performance Tier	C-Tier (Good)	S-Tier (Elite)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	Undisclosed	~1.5T (estimated)
Limitations	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed