Model Comparison

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

Microsoft

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.

Alibaba

Qwen3 32B

Alibaba

Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

Alibaba

Qwen3 32B

Alibaba

2025-04-29

8 months newer

Pricing Comparison

Cost per million tokens (USD)

Microsoft

Phi-3.5-mini-instruct

$0.20 cheaper
Input:$0.10
Output:$0.10
Alibaba

Qwen3 32B

Input:$0.10
Output:$0.30

Performance Metrics

Context window and performance specifications

Microsoft

Phi-3.5-mini-instruct

Max Context:256.0K
Parameters:3.8B
Alibaba

Qwen3 32B

Max Context:256.0K
Parameters:32.8B

Average performance across 1 common benchmarks

Microsoft

Phi-3.5-mini-instruct

Average Score:37.0%
Alibaba

Qwen3 32B

+56.8%
Average Score:93.8%

Performance comparison across key benchmark categories

Microsoft

Phi-3.5-mini-instruct

code
66.2%
general
55.4%
Alibaba

Qwen3 32B

code
+14.2%
80.4%
general
+18.2%
73.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
Alibaba

Qwen3 32B

3 providers

Sambanova

Throughput: 327.7 tok/s
Latency: 1.08ms

DeepInfra

Throughput: 26.95 tok/s
Latency: 1.19ms

Novita

Throughput: 32.43 tok/s
Latency: 0.93ms
Microsoft

Phi-3.5-mini-instruct

Avg Score:37.0%
Providers:1
Alibaba

Qwen3 32B

+56.8%
Avg Score:93.8%
Providers:3