OpenAI: GPT-5.6Work with me

OpenAI: GPT-5.6

byOpenAI

GPT-5.6 is a reasoning model from OpenAI released on Jul 9, 2026. It reads text, images and files and writes text, with a 1.05M token context window and up to 128K tokens per reply.

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It costs $4 per million input tokens and $20 per million output tokens. Cached input bills at $0.40, 90% less than fresh input.

It supports tool calling, structured JSON output and prompt caching.

41 providers serve it, including Azure, Amazon Bedrock and Databricks. The lowest input price is $1.50 per million tokens at Xpersona.

Modalities
In / out price
$4 / $20 per 1M
Context
1.05M
Max output
128K
Released
Jul 9, 2026
Knowledge cutoff
Feb 2026
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

GPT-5.6 pricing

USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.

Input$4 / 1M tokens
Output$20 / 1M tokens
Cached input (read)$0.40 / 1M tokens
Cache write$5 / 1M tokens
Prompts over 200K$8 in, $30 out
Prompts over 272K$8 in, $30 out

GPT-5.6 providers

41 providers serve it, including Azure, Amazon Bedrock and Databricks. The lowest input price is $1.50 per million tokens at Xpersona. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.

ProviderInput /MOutput /MCache read /MContextMax output
OpenAI First party$4$20$0.401.05M128K
Azure$4$20$0.501.05M128K
Amazon Bedrock$4.40$22$0.441.05M128K
Databricks$5$30$0.501.05M128K
Vercel AI Gateway$8$40$0.801.05M128K
Snowflake Cortexn/an/a–1.05M128K
Xpersona$1.50$12$0.15372K128K
Cloudflare AI Gateway$2$10$0.251.05M128K
NanoGPT$2$10$0.201.05M128K
Infer by Flow7$2.50$12.50$0.25272K128K
Ofox$2.50$15$0.251.05M128K
routing.run$2.50$15–1M128K

Showing 12 of 41 providers: the lab first, then the major clouds, then the cheapest resellers.

What GPT-5.6 costs per month

Pick a workload close to yours or type your own volumes.

GPT-5.6 per month
$348
Without caching
$510
Per request
$0.0116

Independent benchmarks

Measured by third parties, not reported by OpenAI. Each links to its source and shows the date I checked it.

Benchmarks OpenAI reports (17)

Labs pick their own settings and harnesses, so compare these only within one lab.

See where it ranks

Supported request parameters

What you can set when you call GPT-5.6 through an OpenAI compatible API.

  • Toolstools
  • Structured outputsstructured_outputs
  • Reasoningreasoning

Alternatives to GPT-5.6

Models that take the same inputs and call tools, closest in price, cheaper ones first.

  • Reads text, images and files. Tool calling, structured output, reasoning. Served by 28 providers.

    by anthropicSep 18, 20261M context$4/M input tokens$20/M output tokens28 providers

  • Reads text, images and files. Tool calling, structured output, reasoning. Served by 48 providers.

    by anthropicFeb 5, 2026$3/M input tokens$15/M output tokens48 providers

  • Reads text, images and files. Tool calling, structured output, reasoning. Served by 33 providers.

    by anthropicJan 15, 2025$3/M input tokens$15/M output tokens33 providers

  • Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 7 providers.

    by metaOct 12, 2026$4/M input tokens$20/M output tokens7 providers

  • Reads text, images and files. Tool calling, structured output, reasoning. Served by 2 providers.

    by anthropicMar 29, 2026$4/M input tokens$20/M output tokens2 providers

  • Reads text, images and files. Tool calling, reasoning.

    by openaiNov 12, 2025$2.50/M input tokens$20/M output tokens

More from OpenAI

  • Index 51.8

    Reads text, images and files. Tool calling, structured output, reasoning. Served by 27 providers.

    by openaiSep 29, 20261.05M context$2/M input tokens$10/M output tokens27 providers

  • Reads text, images and files. Tool calling, structured output, reasoning. Served by 2 providers.

    by openaiSep 29, 2026$2/M input tokens$10/M output tokens2 providers

  • Index 38.1

    Reads text, images and files. Tool calling, structured output, reasoning. Served by 27 providers.

    by openaiSep 22, 20261.05M context$0.10/M input tokens$0.50/M output tokens27 providers

  • Reads text, images and files. Tool calling, structured output, reasoning. Served by 2 providers.

    by openaiSep 22, 2026$0.10/M input tokens$0.50/M output tokens2 providers

  • Reads text, images and files. Tool calling, structured output, reasoning. Served by 27 providers.

    by openaiSep 22, 2026$2/M input tokens$10/M output tokens27 providers

  • Reads text, images and files. Tool calling, structured output, reasoning. Served by 2 providers.

    by openaiSep 22, 2026$2/M input tokens$10/M output tokens2 providers

All OpenAI models

GPT-5.6 questions

How much does the GPT-5.6 API cost?

$4 per million input tokens and $20 per million output tokens, with cached input at $0.40. Prompts over 200K tokens bill at $8 input and $30 output. The estimator on this page turns that into a monthly bill for your own workload.

What is the context window of GPT-5.6?

1,050,000 tokens of input, and it can write up to 128,000 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.

Which providers serve GPT-5.6?

41 providers serve it, including Azure, Amazon Bedrock and Databricks. The lowest input price is $1.50 per million tokens at Xpersona. Prices differ by host, so the Providers table on this page lists each one with its input and output price.

Does GPT-5.6 support tool calling?

Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.

Is GPT-5.6 open source?

No. OpenAI serves it through an API only, so you cannot download the weights or host it yourself.

When was GPT-5.6 released?

Jul 9, 2026, with training data up to Feb 2026.

Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. Independent scores from my hand checked rankings, sources linked above. The summary is written from these facts.

Building on GPT-5.6?

I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.

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