Model Comparison

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

OpenAI

o1

OpenAI

o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

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.

OpenAI

o1

OpenAI

2024-12-17

Microsoft

Phi-4-multimodal-instruct

Microsoft

2025-02-01

1 month newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

o1

Input:$15.00
Output:$60.00
Microsoft

Phi-4-multimodal-instruct

$74.85 cheaper
Input:$0.05
Output:$0.10

Performance Metrics

Context window and performance specifications

OpenAI

o1

Larger context
Max Context:300.0K
Microsoft

Phi-4-multimodal-instruct

Max Context:256.0K
Parameters:5.6B

Average performance across 2 common benchmarks

OpenAI

o1

+16.0%
Average Score:74.7%
Microsoft

Phi-4-multimodal-instruct

Average Score:58.8%

Performance comparison across key benchmark categories

OpenAI

o1

vision
+7.9%
77.6%
general
71.8%
math
+9.6%
72.0%
Microsoft

Phi-4-multimodal-instruct

vision
69.7%
general
+3.9%
75.8%
math
62.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
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

OpenAI

o1

2 providers

Azure

Throughput: 16 tok/s
Latency: 0.54ms

OpenAI

Throughput: 66 tok/s
Latency: 16.2ms
Microsoft

Phi-4-multimodal-instruct

1 providers

DeepInfra

Throughput: 25 tok/s
Latency: 0.5ms
OpenAI

o1

+16.0%
Avg Score:74.7%
Providers:2
Microsoft

Phi-4-multimodal-instruct

Avg Score:58.8%
Providers:1