Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Qwen2.5 72B Instruct
Alibaba
Qwen2.5 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It supports a 139K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen3-235B-A22B-Instruct-2507
Alibaba
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 72B Instruct
Alibaba
2024-09-19

Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
10 months newer
Performance Metrics
Context window and performance specifications

Qwen2.5 72B Instruct

Qwen3-235B-A22B-Instruct-2507
Average performance across 5 common benchmarks

Qwen2.5 72B Instruct

Qwen3-235B-A22B-Instruct-2507
Performance comparison across key benchmark categories

Qwen2.5 72B Instruct

Qwen3-235B-A22B-Instruct-2507
Provider Availability & Performance
Available providers and their performance metrics

Qwen2.5 72B Instruct
Together
Hyperbolic
DeepInfra
Fireworks

Qwen3-235B-A22B-Instruct-2507

Qwen2.5 72B Instruct

Qwen3-235B-A22B-Instruct-2507