o3-mini

Tekst ja vestlusAegunudSaadaval
OpenAI pooltMudeli ID: o3-mini

OpenAI's reasoning model optimized for STEM tasks, coding, and math. Uses chain-of-thought reasoning.

Hind · 1M sisse/vÀlja
1,32 $ / 5,28 $
Kontekst
200 000 tokenit
Maks. vÀljund
100 000 tokenit
Sisend → vĂ€ljund
Tekst → Tekst
Arendaja
OpenAI
Uuendatud
23. september 2026

Pakkuja lÔpetab selle mudeli kasutamise.

01

Playground

Proovi o3-mini

Vestlus

1,32 $/1M sis
Proovi o3-mini

Saada sÔnum. Vastus saabub tÀielikult, kui mudel on valmis (ilma voogesituseta).

SĂŒsteemi kĂ€sklus
Maks. vastuse pikkus (tokenid)

See kÀivitus

maksimaalselt 0,0055 $ · 0,55 krediiti reserveeritud

Arveldatakse tegelikult kasutatud tokenid; reserveeringu kasutamata osa tagastatakse.

Oled siin uus?

10 tasuta krediiti (0,10 $), kui registreeritud Google'iga

Kasutatav 24 tundi pÀrast registreerimist, kuni 5 kÀivitust pÀevas ja maksimaalselt 2 krediiti kÀivituse kohta. Muud sisselogimismeetodid algavad ilma krediitideta. Piisab 18 kÀivituseks sellest mudelist.

02

Teave: o3-mini

LĂŒhidaltSeisuga 23. september 2026

o3-mini on mudel, mille on vĂ€lja töötanud OpenAI kategoorias Tekst ja vestlus. Railwail'is maksab o3-mini 1,32 $ 1M sisendtokeni kohta ja 5,28 $ 1M vĂ€ljundtokeni kohta. Konteksti aken sisaldab 200 000 mĂ€rksĂ”na ja ĂŒks vastus vĂ”ib olla kuni 100 000 mĂ€rksĂ”na pikkune.

Taust

Teave OpenAI kohta

Asutatud 2015 · San Francisco, USA

OpenAI was founded in 2015 as a non-profit lab by Sam Altman, Elon Musk, Greg Brockman, Ilya Sutskever, Wojciech Zaremba and John Schulman, transitioning to a capped-profit structure in 2019 to raise capital from Microsoft (now over $13B invested). OpenAI's research output includes the GPT series (GPT-1 in 2018 through GPT-4 in 2023), the InstructGPT/RLHF paper (2022), the GPT-4o System Card (2024) and the o-series reasoning papers. The o-series began with o1-preview in September 2024 and o1 in December 2024, introducing test-time compute scaling via long internal chains-of-thought trained with reinforcement learning. o3 and o3-mini followed in January-February 2025, with o3-mini specifically launched on 31 January 2025 as a fast, cost-efficient reasoning model available to free, Plus and Team ChatGPT users. The o-series has been described by OpenAI as the first models to solve previously-unsolved Frontier Math benchmark problems. Sam Altman remains CEO and the company's 2025 valuation exceeded $300 billion.

KĂŒlasta OpenAI

Arhitektuur

Decoder-only Transformer (reasoning model with test-time chain-of-thought)

o3-mini is the small reasoning model in the o-series, released by OpenAI on 31 January 2025. Like its o1 and o3 siblings it is a decoder-only Transformer trained to produce long internal chains-of-thought during inference, then return a concise final answer to the user. Reinforcement learning was the core training technique: the model is rewarded for correct answers on verifiable tasks (math, code, scientific problems) and learns to allocate test-time compute by generating longer or shorter reasoning traces as needed. o3-mini supports three reasoning effort settings ('low', 'medium', 'high') that developers can choose to trade latency for accuracy. The training corpus and base pretraining are not disclosed in detail but build on OpenAI's frontier pretraining stack. o3-mini is the first o-series model to support function calling, Structured Outputs with strict JSON schemas, streaming and developer messages from day one, making it deployable in production agentic stacks. On benchmarks the medium-effort setting matched o1's performance at significantly lower cost; the high-effort setting outperformed o1 on AIME math, GPQA Diamond and Codeforces. Vision input is not supported (use o1 or GPT-4o for multimodal). The model retains OpenAI's deliberative alignment training, in which the safety policy itself is reasoned about explicitly during inference.

Parameetrid
Undisclosed (estimated tens of billions of active parameters)
Kontekst
200 000 tokenit

VÔimalused

  • Three reasoning effort modes: low, medium, high
  • Strong math performance: o3-mini-high matches or beats o1 on AIME and GPQA
  • Competitive Codeforces ratings on coding contests
  • 200K context window with 100K max output
  • Function calling and parallel tool calls
  • Structured Outputs with strict JSON schemas
  • Streaming and developer-message support
  • Lower latency than o1 at equal accuracy
  • Available in ChatGPT Free, Plus, Team and API
  • Deliberative alignment: reasons about safety policy at inference time
  • Best for: math, coding contests, scientific reasoning, multi-step tool agents.

Treening ja litsents

Pretrained on OpenAI's standard multi-trillion-token corpus (composition undisclosed). Post-training relies heavily on reinforcement learning against verifiable rewards on math, code and scientific problem datasets, plus deliberative alignment training where the model is taught to reason about OpenAI's safety policy.

Litsents: Proprietary commercial license via OpenAI API, Azure OpenAI Service and ChatGPT. Commercial use permitted.

Turvalisuse testimine: Evaluated under OpenAI's Preparedness Framework. Deliberative alignment training reduces compliance with jailbreaks; external red-teamers covered persuasion, cyber and CBRN risks.

Teadaolevad piirangud

  • No vision or audio input
  • Long internal chains-of-thought add latency at high effort
  • Hidden reasoning tokens count against pricing
  • Knowledge cutoff October 2023 from base pretraining
  • Not always cheaper than GPT-4o for short answer tasks
03

Hinnad

Hinnad USA dollarites. Kasutamine arvestatakse eelmakstud krediitidest.
Sisend1,32 $ / 1M tokenit
VÀljund5,28 $ / 1M tokenit
  • Arvestatakse tokened, mida iga pĂ€ring tegelikult kasutab.
  • 1 krediit = 0,01 $

Kulukalkulaator

Hinna kalkulaator

/ pÀring
/ pÀring

Kokku

0,40 $

40 krediiti

PĂ€ringute kohta

0,004 $ · 0,4 krediiti

Iga pĂ€ring ĂŒmardatakse 0,01 krediidini.

04

API

Kutsu o3-mini oma Railwail API vÔtmega. Kasuta selles pÀringus seda mudeli ID-d:
curl https://railwail.com/api/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "o3-mini",
    "messages": [
      {
        "role": "user",
        "content": "Explain what a vector database is in two sentences."
      }
    ],
    "max_tokens": 1024
  }'
MÀÀra oma vÔti kui RAILWAIL_API_KEYLoo API-vÔti
05

Spetsifikatsioonid

Mudeli ID
o3-mini
Arendaja
OpenAI
Sisend
Tekst
VĂ€ljund
Tekst
Konteksti aken
200 000 tokenit
Maks. vÀljund
100 000 tokenit
Arveldamine
Kasutuse jÀrgi (tokenid vÔi GPU-aeg)
ElutsĂŒkkel
Aegunud
Mudeli suurus
Undisclosed (estimated tens of billions of active parameters)
Litsents
Proprietary commercial license via OpenAI API, Azure OpenAI Service and ChatGPT. Commercial use permitted.
Kataloogi kirje uuendatud
23. september 2026

Sildid

  • reasoning
  • coding
  • math
06

NĂ€ite-prompid

NĂ€ited Railwail kataloogist. Neid ei loodud otse sellel lehel.
  • Math Problem

    Prove that the square root of 2 is irrational
    NÀita nÀite vastust

    Assume for contradiction that sqrt(2) is rational, meaning sqrt(2) = p/q where p and q are integers with no common factors. Squaring both sides gives 2 = pÂČ/qÂČ, so pÂČ = 2qÂČ. This means pÂČ is even, which implies p is even—write p = 2k. Substituting gives 4kÂČ = 2qÂČ, so qÂČ = 2kÂČ, meaning q is also even. But if both p and q are even, they share a common factor of 2, contradicting our assumption. Therefore sqrt(2) must be irrational.

  • Logic Puzzle

    Three boxes are labeled 'Apples', 'Oranges', and 'Mixed'. All labels are wrong. You can pick one fruit from one box. How do you determine the correct labels?
    NÀita nÀite vastust

    Pick a fruit from the box labeled 'Mixed'. Since all labels are wrong, this box contains only one type of fruit—either all apples or all oranges. Say you draw an apple: the 'Mixed' box is actually the Apples box. Now consider the remaining two boxes labeled 'Apples' and 'Oranges'. The box labeled 'Apples' cannot be apples (wrong label) and cannot be mixed (we found that), so it must be Oranges. The box labeled 'Oranges' is therefore the Mixed box. One draw is all you need.

07

Kasutamise juhtumid

Milleks seda kasutatakse

  • Math olympiad and STEM problem solving
  • Competitive programming assistants
  • Scientific paper review
  • Backend reasoning step in agent stacks
  • Code review and bug hunting
  • Logic and rule-based systems
08

Korduma kippuvad kĂŒsimused

Mis on o3-mini?

o3-mini on mudel, mille töötas vÀlja OpenAI kategoorias Tekst ja vestlus. Railwail'is saad seda kutsuda API vÔtme abil Railwail API kaudu.

Kui palju maksab o3-mini Railwail'is?

Railwail'is maksab o3-mini 1,32 $ 1M sisendtokeni kohta ja 5,28 $ 1M vÀljundtokeni kohta. Sulle arvestatakse see, mida iga pÀring tegelikult kasutab. Kasutamine makstakse eelnevalt ostetud krediitidest; 1 krediit vÔrdub 0,01 $.

Kui suur on o3-mini konteksti aken?

o3-mini konteksti aken sisaldab 200 000 mĂ€rksĂ”na. Üks vastus vĂ”ib olla kuni 100 000 mĂ€rksĂ”na pikkune.

Kui kiire on o3-mini?

o3-mini kohta ei ole Railwail'is veel piisavalt mÔÔdetud kÀivitusi, et kÀivitusaega vÀita. See sÔltub sisendist, seadistustest ja pakkuja koormusest.

Kas o3-mini on parem kui Claude Fable 5.1?

See sĂ”ltub ĂŒlesandest. o3-mini (OpenAI) ja Claude Fable 5.1 (Anthropic) on mĂ”lemad mudelid kategoorias Tekst ja vestlus. VĂ”rdlusleht nĂ€itab nende hindu ja spetsifikatsioone kĂ”rvuti.

VÔrdle o3-mini ja Claude Fable 5.1

Kuidas kasutada o3-mini API kaudu?

Loo Railwail API vÔti ja saada oma pÀring mudeli ID-ga o3-mini. KoodinÀited curl'i, Pythoni ja JavaScripti jaoks on selle lehe API jaotises.

09

VÔrreldavad mudelid

KÔik selles kategoorias
  • Anthropic's model for the most demanding reasoning and long-horizon agentic work. 1M-token context window, up to 128K output tokens, adaptive thinking that is always on.

    12,00 $/1M sis

    809 % kallim ĂŒhiku kohta

    VÔrdle o3-mini ja Claude Fable 5.1
  • The most capable model of Anthropic's Opus 4 series. State of the art on long-horizon agentic work, coding and knowledge tasks, with a 1M-token context window at standard pricing.

    6,00 $/1M sis

    355 % kallim ĂŒhiku kohta

    VÔrdle o3-mini ja Claude Opus 4.8
  • Anthropic's current Opus model for long-running agentic coding and knowledge work. 1M-token context window, up to 128K output tokens, adaptive thinking that is always on.

    4,80 $/1M sis

    264 % kallim ĂŒhiku kohta

    VÔrdle o3-mini ja Claude Opus 5.5

Kasuta o3-mini API kaudu

Üks API vĂ”ti kĂ”igile Railwail mudelitele. Kasutamine arvestatakse eelmakstud krediitidest, 1 krediit = 0,01 $.