Model Comparison

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

OpenAI

o1-mini

OpenAI

o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K 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-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

o1-mini

OpenAI

2024-09-12

20 days newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

o1-mini

Input:$3.00
Output:$12.00
Microsoft

Phi-3.5-mini-instruct

$14.80 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

OpenAI

o1-mini

Max Context:193.5K
Microsoft

Phi-3.5-mini-instruct

Larger context
Max Context:256.0K
Parameters:3.8B

Average performance across 3 common benchmarks

OpenAI

o1-mini

+25.1%
Average Score:79.2%
Microsoft

Phi-3.5-mini-instruct

Average Score:54.1%

Performance comparison across key benchmark categories

OpenAI

o1-mini

code
+26.2%
92.4%
math
+29.1%
90.0%
general
+2.6%
58.0%
Microsoft

Phi-3.5-mini-instruct

code
66.2%
math
60.9%
general
55.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

o1-mini

2 providers

Azure

Throughput: 100 tok/s
Latency: 0.5ms

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

o1-mini

+25.1%
Avg Score:79.2%
Providers:2
Microsoft

Phi-3.5-mini-instruct

Avg Score:54.1%
Providers:1