Model Comparison

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

OpenAI

GPT-5

OpenAI

GPT-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 telecom (96.7%). 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-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

GPT-5

OpenAI

2025-08-07

11 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-5

Input:$1.25
Output:$10.00
Microsoft

Phi-3.5-mini-instruct

$11.05 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

OpenAI

GPT-5

Larger context
Max Context:528.0K
Microsoft

Phi-3.5-mini-instruct

Max Context:256.0K
Parameters:3.8B

Average performance across 4 common benchmarks

OpenAI

GPT-5

+36.4%
Average Score:89.1%
Microsoft

Phi-3.5-mini-instruct

Average Score:52.7%

Performance comparison across key benchmark categories

OpenAI

GPT-5

code
+27.2%
93.4%
general
+18.9%
74.3%
factuality
0.8%
math
55.5%
Microsoft

Phi-3.5-mini-instruct

code
66.2%
general
55.4%
factuality
+63.2%
64.0%
math
+5.4%
60.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-5

2024-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-5

2 providers

OpenAI

Throughput: 100 tok/s
Latency: 2ms

ZeroEval

Throughput: 100 tok/s
Latency: 2ms
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
OpenAI

GPT-5

+36.4%
Avg Score:89.1%
Providers:2
Microsoft

Phi-3.5-mini-instruct

Avg Score:52.7%
Providers:1