Model Comparison

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

OpenAI

GPT-5 nano

OpenAI

GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. 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 4 Reasoning

Microsoft

Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Microsoft

Phi 4 Reasoning

Microsoft

2025-04-30

OpenAI

GPT-5 nano

OpenAI

2025-08-07

3 months newer

Performance Metrics

Context window and performance specifications

OpenAI

GPT-5 nano

Larger context
Max Context:528.0K
Microsoft

Phi 4 Reasoning

Max Context:-
Parameters:14.0B

Average performance across 2 common benchmarks

OpenAI

GPT-5 nano

+13.9%
Average Score:78.2%
Microsoft

Phi 4 Reasoning

Average Score:64.3%

Performance comparison across key benchmark categories

OpenAI

GPT-5 nano

math
9.6%
general
60.2%
Microsoft

Phi 4 Reasoning

math
+67.0%
76.6%
general
+14.1%
74.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-5 nano

2024-05-30

Phi 4 Reasoning

2025-03-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-5 nano

2 providers

ZeroEval

Throughput: 500 tok/s
Latency: 0.3ms

OpenAI

Throughput: 500 tok/s
Latency: 0.3ms
Microsoft

Phi 4 Reasoning

0 providers
OpenAI

GPT-5 nano

+13.9%
Avg Score:78.2%
Providers:2
Microsoft

Phi 4 Reasoning

Avg Score:64.3%
Providers:0