AI 모델 인텔리전스

OpenAI o3 Mini

helicone/o3-mini

제공: helicone · 패밀리: o-mini · 출시 2023-10-01 · 지식 컷오프: 2023-10

$1.10
입력 / 1M 토큰
$4.40
출력 / 1M 토큰
200K
컨텍스트 창
100K
최대 출력

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

기능

도구 호출추론? 구조화 출력첨부오픈 웨이트온도 제어
모달리티: 입력 text · 출력 text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding47
  • Tool calling40/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)6/20
  • Provider availability1/10
Agents51
  • Tool calling35/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output29
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control0/10
  • Price-friendly for high-volume9/20
Cost efficiency49
  • Headline price (log-scaled)44/95
  • Has prompt-cache pricing5/5
Long context55
  • Context window (100K → 2M)45/90
  • Has published price for full window10/10
Production-readiness65
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$7.70
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$15.40
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$4.40
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$13.20
$0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$15.84
$0.02 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

가격 상세

추천 가격 제공자: helicone · o3-mini

$1.10
입력
$4.40
출력
$0.550
캐시 읽기

1곳 제공사에서 이용 가능

제공자제공자 모델 ID입력 / 1M출력 / 1M컨텍스트출시일
Helicone
helicone
o3-mini$1.10$4.40200K2023-10-01

Frequently asked questions

How much does OpenAI o3 Mini cost?

OpenAI o3 Mini costs $1.10 per 1M input tokens and $4.40 per 1M output tokens, sourced from helicone. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of OpenAI o3 Mini?

OpenAI o3 Mini has a context window of 200K tokens, with a max output of 100K tokens per reply. This is the total combined size of prompt + completion.

Does OpenAI o3 Mini support tool calling?

Yes. OpenAI o3 Mini supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does OpenAI o3 Mini support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for OpenAI o3 Mini in our data source. Verify with helicone's official documentation before relying on it in production.

Can OpenAI o3 Mini accept image input?

No. OpenAI o3 Mini only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is OpenAI o3 Mini open-weight?

No. OpenAI o3 Mini is a proprietary model — only helicone (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to OpenAI o3 Mini?

If OpenAI o3 Mini doesn't fit, consider OpenAI o3 Pro, OpenAI o4 Mini, OpenAI: o1. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More helicone models

Capability lists this model is in

마지막 업데이트:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.