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

Phi-3.5-mini-instruct
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft'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.

Phi-3.5-mini-instruct
Microsoft
2024-08-23

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

Phi-3.5-mini-instruct

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

Phi-3.5-mini-instruct

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

Phi-3.5-mini-instruct

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

Phi-3.5-mini-instruct
Azure

Qwen3-235B-A22B-Instruct-2507

Phi-3.5-mini-instruct

Qwen3-235B-A22B-Instruct-2507