One agent session
1M input tokens and 100K output tokens, no caching.
- Input1M x $1.10 = $1.10
- Output0.1M x $4.40 = $0.44
$1.54per session
OpenAI - Closed weights
o3-mini pricing and specs
o3-mini is a closed-weights model from OpenAI that costs $1.10 per 1M input tokens and $4.40 per 1M output tokens on the first-party API, with a 200K-token context window.
Last verified from developers.openai.com. All sources
- Input / 1M
- $1.10
- Output / 1M
- $4.40
- Context
- 200K tokens
- Weights
- Closed
Pricing per 1M tokens
| Item | Price / 1M tokens |
|---|---|
| Input | $1.10 |
| Output | $4.40 |
| Cache read | $0.55 |
| Batch inputBatch requests | $0.55 |
| Batch outputBatch requests | $2.20 |
Note: Text input only. Default snapshot o3-mini-2025-01-31.
Specs
- Context window
- 200,000 tokens
- Max output
- 100,000 tokens
- Release date
- Provider
- OpenAI
- API model id
o3-mini- Vercel AI Gateway id
openai/o3-mini- Weights
- Closed weights
What o3-mini 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 $1.10 = $22.00
- Output5M x $4.40 = $22.00
$44.00per day
$1,320.00 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 $0.55 = $0.495
- Uncached input0.1M x $1.10 = $0.11
- Output0.1M x $4.40 = $0.44
$1.05per session
Compare with
| Model | Input / 1M | Output / 1M |
|---|---|---|
| o3-mini (this page) | $1.10 | $4.40 |
| GLM-5.1Z.ai | $1.40 | $4.40 |
| GLM-5.2Z.ai | $1.40 | $4.40 |
| GLM-5.3Z.ai | $1.40 | $4.40 |
| o4-miniOpenAI | $1.10 | $4.40 |
| GPT-5.4 MiniOpenAI | $0.75 | $4.50 |
| GPT-3.5 Turbo InstructOpenAI | $1.50 | $2 |
| GPT-5 MiniOpenAI | $0.25 | $2 |
| GPT-4.1 MiniOpenAI | $0.40 | $1.60 |
| GPT-3.5 TurboOpenAI | $0.50 | $1.50 |
Related reading
- Codex CLI 0.163: Instant Steering Is Now the DefaultCodex CLI 0.163.0 makes mid-response steering the default and adds searchable /config and a leader key. What changed and what to check before upgrading.
- Tool Calling Under the Hood: Claude Messages vs OpenAI ResponsesHow tool calling works on the wire: JSON schema tools, parallel calls, tool_choice, strict mode and streaming deltas in Claude Messages vs OpenAI Responses.
- 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.
- Codex CLI Background Daemon: How to Turn It OffCodex CLI starts a persistent, self-updating background daemon since 0.157.0. What it does, why it hit Hacker News and the reported workaround to turn it off.
- Codex CLI 0.162: Managed Worktrees and Pinned TasksCodex CLI 0.162 lets the agent create and list its own Git worktrees, adds pinned tasks and custom provider capability overrides. What to change this week.
- ChatGPT Free vs Go vs Plus After GPT-6: Which Model You GetFree and Go ($8) both get GPT-6 Luna in Chat. Plus ($20) is the cheapest plan with GPT-6 Sol and full Codex. What each ChatGPT plan buys now.
FAQ
How much does o3-mini cost per million tokens?
o3-mini costs $1.10 per 1M input tokens and $4.40 per 1M output tokens on OpenAI's first-party API, per developers.openai.com on October 17, 2026. Per 1M tokens, cache reads cost $0.55, and the batch rate is $0.55 input and $2.20 output.
What is o3-mini's context window?
o3-mini has a 200,000-token context window and returns up to 100,000 output tokens per response.
Are o3-mini's weights open?
No. o3-mini is a closed-weights model. You call it through OpenAI's API as o3-mini or through Vercel AI Gateway as openai/o3-mini.
When was o3-mini released?
OpenAI released o3-mini on January 31, 2025.
Sources
Last verified from developers.openai.com.
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