Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen 2.5 72B

S-TIER

Hyperbolic

Intelligence Score 91/100

Model Popularity 0 votes

Context Window 32K

Pricing Model Commercial / Paid

View Provider Analysis →

Replicate

Intelligence Score 76/100

Context Window 32K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 91/100 vs 76/100, Qwen 2.5 72B outperforms mistralai/mistral-7b-instruct-v0.2 by 15 points.

Clear Winner: Significant performance advantage for Qwen 2.5 72B.

HEAD-TO-HEAD

Feature	Qwen 2.5 72B	mistralai/mistral-7b-instruct-v0.2
Context Window	32K	32K tokens
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~85-87%	~70-74%
Release Date	Sep-Nov 2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	60 RPM	Varies by model
Daily Limit	Credit-based	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	⚡ Fast	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	72B	7b
Limitations	Credits are limited ($1) Decentralized nature may vary latency Billing flow involves crypto/stripe	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	Verifiable Inference (verified computing) Low Cost due to decentralized compute Privacy focused	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models