Model detail
gpt-5-2025-08-07
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy in high-stakes use cases. It supports test-time routing features and advanced prompt understanding, including user-specified intent like "think hard about this." Improvements include reductions in hallucination, sycophancy, and better performance in coding, writing, and health-related tasks.
Model specs
- Context length
- 400K
- Max output
- 128K
- I/O modalities
- Text / Image
- Released
- 2025-08
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API endpoints
One MixRoute gateway, OpenAI-compatible
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OpenAI-compatible
/v1/chat/completionsPOST
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Pricing
Flat rate, unit: /1M Tokens
Input
$1.2500 /1M Tokens
Completion
$10.0000 /1M Tokens
Cache read
$0.1250 /1M Tokens
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Complex reasoning and high-stakes accuracy
Use GPT-5 for tasks requiring step-by-step reasoning, precise instruction following, and high accuracy. It excels at coding, writing, and multi-step problem solving with reduced hallucination.
What should you check before using it?
Test routing features and reasoning depth
GPT-5 supports test-time routing and user-specified reasoning intent. Test your prompts with appropriate reasoning directives and confirm the output quality meets your requirements.
Why use it through MixRoute?
Use the OpenAI-compatible endpoint with stable model ID
Use the confirmed compatible endpoint with model ID gpt-5 through MixRoute, then run the same integration tests used for the current client.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
Share of the same prefix read repeatedly, up to 100%
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FAQ
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks requiring step-by-step reasoning, instruction following, and accuracy, with reduced hallucination and better performance across coding, writing, and analysis.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.