Model Comparison

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

OpenAI

o3

OpenAI

o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 65.3% across 19 benchmarks. It excels particularly in AIME 2024 (91.6%), ARC-AGI (88.0%), MathVista (86.8%). The model shows particular specialization in vision tasks with an average performance of 76.7%. It supports a 300K 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. Released in 2025, it represents OpenAI's latest advancement in AI technology.

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.

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

OpenAI

o3

OpenAI

2025-04-16

7 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

o3

Input:$2.00
Output:$8.00
Microsoft

Phi-3.5-mini-instruct

$9.80 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

OpenAI

o3

Larger context
Max Context:300.0K
Microsoft

Phi-3.5-mini-instruct

Max Context:256.0K
Parameters:3.8B

Average performance across 1 common benchmarks

OpenAI

o3

+52.9%
Average Score:83.3%
Microsoft

Phi-3.5-mini-instruct

Average Score:30.4%

Performance comparison across key benchmark categories

OpenAI

o3

reasoning
47.3%
general
+12.1%
67.5%
math
51.3%
Microsoft

Phi-3.5-mini-instruct

reasoning
+26.9%
74.2%
general
55.4%
math
+9.6%
60.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o3

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

o3

1 providers

OpenAI

Throughput: 50 tok/s
Latency: 20ms
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
OpenAI

o3

+52.9%
Avg Score:83.3%
Providers:1
Microsoft

Phi-3.5-mini-instruct

Avg Score:30.4%
Providers:1