One agent session
1M input tokens and 100K output tokens, no caching.
- Input1M x $1.25 = $1.25
- Output0.1M x $10 = $1.00
$2.25per session
OpenAI - Closed weights
GPT-5 pricing and specs
GPT-5 is a closed-weights model from OpenAI that costs $1.25 per 1M input tokens and $10 per 1M output tokens on the first-party API, with a 400K-token context window.
Last verified from developers.openai.com. All sources
- Input / 1M
- $1.25
- Output / 1M
- $10
- Context
- 400K tokens
- Weights
- Closed
Pricing per 1M tokens
| Item | Price / 1M tokens |
|---|---|
| Input | $1.25 |
| Output | $10 |
| Cache read | $0.125 |
| Batch inputBatch requests | $0.625 |
| Batch outputBatch requests | $5 |
| Fast mode inputFast mode requests | $2.50 |
| Fast mode outputFast mode requests | $20 |
Note: Maximum input tokens 272,000. Default snapshot gpt-5-2025-08-07.
Specs
- Context window
- 400,000 tokens
- Max output
- 128,000 tokens
- Release date
- Provider
- OpenAI
- API model id
gpt-5- Vercel AI Gateway id
openai/gpt-5- Weights
- Closed weights
What GPT-5 costs in practice
Worked from the standard list rates above, with the math shown so you can swap in your own token counts.
A chat app
10,000 requests a day at 2K input and 500 output tokens each.
- Input20M x $1.25 = $25.00
- Output5M x $10 = $50.00
$75.00per day
$2,250.00 per 30-day month
The same session at a 90% cache hit
90% of the input is read from the prompt cache. The one-time cache write premium is not included.
- Cached input0.9M x $0.125 = $0.1125
- Uncached input0.1M x $1.25 = $0.125
- Output0.1M x $10 = $1.00
$1.24per session
Compare with
| Model | Input / 1M | Output / 1M |
|---|---|---|
| GPT-5 (this page) | $1.25 | $10 |
| Claude Sonnet 5Anthropic | $2 | $10 |
| Claude Sonnet 5.5Anthropic | $2 | $10 |
| Command ACohere | $2.50 | $10 |
| Command R+ 08-2024Cohere | $2.50 | $10 |
| GPT-4oOpenAI | $2.50 | $10 |
| GPT-5.1OpenAI | $1.25 | $10 |
| GPT-6 SolOpenAI | $2 | $10 |
| GPT-6.1 SolOpenAI | $2 | $10 |
| GPT-4.1OpenAI | $2 | $8 |
| GPT-5.6 TerraOpenAI | $2 | $12 |
Related reading
- Codex 'gpt-5.5 Model Is Not Supported' Error: The FixCodex says gpt-5.5 is not supported with a ChatGPT account because OpenAI retired it from ChatGPT sign-in on October 14. The fix and what still works.
- Grok 4.6: xAI's Agent-Focused Update Matches GPT-5.6 Sol at the Same $2/$6 PriceGrok 4.6 release guide: xAI's agent-focused update matches GPT-5.6 Sol on the AA index at the same $2/$6 pricing, and runs in Cursor and OpenCode.
- OpenAI's Daybreak Cyber Models Land on Amazon Bedrock: GPT-5.6-Cyber Gets Its First Cloud PathOpenAI Daybreak cyber models are on Amazon Bedrock: GPT-5.6-Cyber and GPT-5.6 Sol for eligible customers, gated by Trusted Access for Cyber enrollment.
- OpenAI Ships GPT-5.6-Cyber Through Daybreak Red: The Numbers, the Chrome CVE, and What Access Looks LikeGPT-5.6-Cyber is OpenAI's gated security model, available only through Daybreak Red. The benchmark numbers, the Chrome V8 CVE it found, and who gets access.
- OpenAI Retunes GPT-5.6 Sol in ChatGPT and Makes Luna the Free Tier DefaultOpenAI retuned GPT-5.6 Sol for ChatGPT and made GPT-5.6 Luna the Free and Go default. What changed in chat, what stayed the same in the API, and why.
- OpenAI's Efficiency Ledger: Serving Costs Down 20%, ARC-AGI-3 Up 3x With No Model ChangeThe OpenAI "Building abundant intelligence" essay puts numbers on efficiency: 20% lower serving costs and a 3x ARC-AGI-3 jump from two settings alone.
FAQ
How much does GPT-5 cost per million tokens?
GPT-5 costs $1.25 per 1M input tokens and $10 per 1M output tokens on OpenAI's first-party API, per developers.openai.com on October 17, 2026. Per 1M tokens, cache reads cost $0.125, and the batch rate is $0.625 input and $5 output.
What is GPT-5's context window?
GPT-5 has a 400,000-token context window and returns up to 128,000 output tokens per response.
Are GPT-5's weights open?
No. GPT-5 is a closed-weights model. You call it through OpenAI's API as gpt-5 or through Vercel AI Gateway as openai/gpt-5.
When was GPT-5 released?
OpenAI released GPT-5 on August 7, 2025.
Sources
Last verified from developers.openai.com.
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