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

Qwen2.5-Coder 32B Instruct
Alibaba
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K 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-Coder 32B 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-Coder 32B Instruct

Qwen3-235B-A22B-Instruct-2507
Average performance across 2 common benchmarks

Qwen2.5-Coder 32B Instruct

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

Qwen2.5-Coder 32B Instruct

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

Qwen2.5-Coder 32B Instruct
Hyperbolic
DeepInfra
Fireworks
Lambda

Qwen3-235B-A22B-Instruct-2507

Qwen2.5-Coder 32B Instruct

Qwen3-235B-A22B-Instruct-2507