Model Comparison

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

Microsoft

Phi-4-multimodal-instruct

Microsoft

Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). The model shows particular specialization in general tasks with an average performance of 75.8%. It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Alibaba

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.

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

2024-09-19

Microsoft

Phi-4-multimodal-instruct

Microsoft

2025-02-01

4 months newer

Pricing Comparison

Cost per million tokens (USD)

Microsoft

Phi-4-multimodal-instruct

$0.03 cheaper
Input:$0.05
Output:$0.10
Alibaba

Qwen2.5-Coder 32B Instruct

Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

Microsoft

Phi-4-multimodal-instruct

Max Context:256.0K
Parameters:5.6B
Alibaba

Qwen2.5-Coder 32B Instruct

Max Context:256.0K
Parameters:32.0B

Performance comparison across key benchmark categories

Microsoft

Phi-4-multimodal-instruct

general
+14.2%
75.8%
math
62.4%
Alibaba

Qwen2.5-Coder 32B Instruct

general
61.5%
math
+11.8%
74.2%
Knowledge Cutoff
Training data recency comparison

Phi-4-multimodal-instruct

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi-4-multimodal-instruct

1 providers

DeepInfra

Throughput: 25 tok/s
Latency: 0.5ms
Alibaba

Qwen2.5-Coder 32B Instruct

4 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 44 tok/s
Latency: 0.5ms

Fireworks

Throughput: 110 tok/s
Latency: 0.26ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms
Microsoft

Phi-4-multimodal-instruct

Avg Score:0.0%
Providers:1
Alibaba

Qwen2.5-Coder 32B Instruct

Avg Score:0.0%
Providers:4