OpenAI · language model
o3 Mini High: pricing, context and benchmarks
o3 Mini High is OpenAI's model released on February 12, 2025. It costs $1.1 per million input tokens and $4.4 per million output tokens, with a 200K-token context window. No independent score has been published for it so far.
What you need to know about o3 Mini High
OpenAI, based in United States, put o3 Mini High online on February 12, 2025. It accepts text and files as input and produces text. Its context window reaches 200,000 tokens, larger than 36 % of the models in the registry, and it can write up to 100,000 tokens in one go.
Released more than 1 year ago, it belongs to a generation most vendors have since superseded.
o3 Mini High pricing
On OpenRouter, o3 Mini High costs $1.1 per million input tokens and $4.4 per million output tokens. Counting three tokens read for every token written, its average price is $1.925 per million, more expensive than 70 % of paid models (2.5 times the median of $0.76).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0044. At 1,000 tasks a day, budget $132 a month. The price calculator redoes this with your own volumes.
Tokens already sent and cached are billed at $0.55 per million.
Performance and benchmarks
Epoch AI does not yet publish a capabilities index for o3 Mini High. We therefore show no made-up performance rating: only price, context and features count towards its score.
Features, privacy and local use
- It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
- It can answer in an enforced JSON format (structured outputs).
- It is a reasoning model: it "thinks" before answering, which helps on hard tasks but uses more output tokens.
- Its knowledge stops at October 2023.
Its weights are not published: it can only be used through the OpenAI API or a broker such as OpenRouter, which means sending your data off your machines.
Other OpenAI models
| Model | Released | Avg. price | ECI |
|---|---|---|---|
| GPT-6.1 Sol | Sep 29, 2026 | $4 | 168.4 |
| GPT-6.1 Sol Pro | Sep 29, 2026 | $4 | — |
| GPT-6 Sol | Sep 22, 2026 | $4 | 163.7 |
| GPT-6 Luna | Sep 22, 2026 | $0.2 | 156.8 |
| GPT-6 Luna Pro | Sep 22, 2026 | $0.2 | — |
| GPT-6 Sol Pro | Sep 22, 2026 | $4 | — |
| GPT-6 Astra | Sep 4, 2026 | $20 | 168.8 |
| GPT-6 Astra Pro | Sep 4, 2026 | $20 | — |
Verdict
Computed score: 42/100, from public data (performance, price, context, features).
Strengths
- Agent-ready: tool calling and structured JSON output.
Limitations
- No independent score published: performance cannot be verified.
- Older generation, often replaced by a newer model from the same vendor.
Avoid if…
- you process large volumes on a tight budget;
- your data must not leave your servers;
- your tasks are mostly simple: a non-reasoning model will cost less.
Alternatives
- GLM 5V Turbo$1.9
- GLM 5 Turbo$1.9
- Claude Haiku 4.5$2
- GLM 5.1$2.15
- GLM 5$1.55
- Relace Search$1.5
Comparisons and tools
Learn more
Frequently asked questions
How much does o3 Mini High cost?
$1.1 per million input tokens and $4.4 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0044.
How big is o3 Mini High's context window?
200,000 tokens, roughly 150,000 words, with a maximum of 100,000 output tokens.
Can o3 Mini High run locally?
No, OpenAI does not publish its weights: it is API-only.
Is o3 Mini High suitable for an AI agent?
Technically yes: it supports tool calling and structured outputs. Then check its cost for your volume.
What are the alternatives to o3 Mini High?
The closest models on price and performance are GLM 5V Turbo, GLM 5 Turbo, and Claude Haiku 4.5.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score