GPT-5 Benchmark Report

GPT-5 Benchmark

We analyze GPT-5 across intelligence, coding, mathematics, and health reasoning to understand where it leads, and where rival AI models still challenge it.

Model Profile

GPT-5

Release8/7/2025
DeveloperOpenAI
CategoryProprietary Model
GPT-5 is OpenAI’s flagship reasoning model. Performance data reflects verified third-party benchmarks reviewed in this report.

ChatGPT-5 Benchmarks

With each new model, ChatGPT becomes more powerful and accurate. The advantages are often obvious but difficult to understand and categorize. We've compiled a list of different fields in order to get deeper insights into ChatGPT's performance.

Below is a concise, quotable roundup of how ChatGPT-5 performs, where it shines, how it compares to OpenAI o3 and earlier GPT models, plus caveats on what the numbers really mean.

OpenAI Models Comparison

Performance analysis comparing different OpenAI model variants and configurations across specialized benchmarks.

GPT vs Leading AI Models

Performance comparisons between GPT models and the world's most advanced AI models across multiple benchmarks.

AI Model Speed Comparison

Compare real-time token generation speeds between any two AI models. Watch as they generate 200 tokens (≈150 words) side by side.

First Model

200.0 tok/s
Speed
Progress0/200 tokens (0%)

Second Model

458.4 tok/s
Speed
Progress0/200 tokens (0%)
Simulating 200 tokens (≈150 words) generation • Based on median output tokens per second from analysis data

GPT 5 Thinking Mode Explained

GPT-5 introduces Thinking Mode, a feature that adjusts how much computational effort the model applies depending on the complexity of a task. For straightforward prompts, it responds quickly using a lighter reasoning path.

On the other hand, it engages deeper reasoning, taking more time to break down the problem into logical steps. This balance allows GPT-5 to deliver faster, everyday answers while improving accuracy and consistency on tasks that demand multi-step analysis, such as advanced math problems or complex coding edits.

Where GPT-5 Struggles

Despite its strengths, GPT-5 is not flawless. Its performance depends heavily on configuration: results can shift depending on whether tools are enabled, how much reasoning effort is requested, and the complexity of the prompt.

Public benchmarks like AIME may also suffer from data exposure, raising concerns about how well they measure unseen problems. In practice, GPT-5 can still make subtle logical mistakes or generate inconsistent results in open-ended conversations.

The bottom line is that GPT-5, while a clear advancement compared to GPT-4, should not be treated as infallible.

Conclusion

GPT-5 represents a major step forward in AI capabilities, offering measurable gains in coding, math reasoning, multimodal understanding, and health-related benchmarks. Thinking Mode gives it the flexibility to be both fast and accurate. At the same time, there's a significant reduction in errors and hallucinations compared to earlier models.

Still, its results remain sensitive to test settings, and it can produce overconfident mistakes, reminding us that AI progress must be paired with careful evaluation. GPT-5 sets a new performance standard while highlighting the challenges that remain in developing fully reliable reasoning models.

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