Model Comparison

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

OpenAI

o3-mini

OpenAI

o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. 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-mini

OpenAI

2025-01-30

5 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

o3-mini

Input:$1.10
Output:$4.40
Microsoft

Phi-3.5-mini-instruct

$5.30 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

OpenAI

o3-mini

Larger context
Max Context:300.0K
Microsoft

Phi-3.5-mini-instruct

Max Context:256.0K
Parameters:3.8B

Average performance across 4 common benchmarks

OpenAI

o3-mini

+39.6%
Average Score:88.5%
Microsoft

Phi-3.5-mini-instruct

Average Score:48.9%

Performance comparison across key benchmark categories

OpenAI

o3-mini

code
+27.7%
93.9%
math
+5.5%
66.4%
general
55.2%
Microsoft

Phi-3.5-mini-instruct

code
66.2%
math
60.9%
general
+0.2%
55.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o3-mini

2023-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

o3-mini

2 providers

Azure

Throughput: 115 tok/s
Latency: 5.2ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
OpenAI

o3-mini

+39.6%
Avg Score:88.5%
Providers:2
Microsoft

Phi-3.5-mini-instruct

Avg Score:48.9%
Providers:1