o3-mini

Name: o3-mini
Brand: OpenAI
SKU: o3-mini
Price: 1.32 USD
Availability: InStock

Tekst i chatZastarjeloDostupno

od OpenAIo3-mini

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

Isprobaj Preuzmi API ključ Usporedi

Cijena · 1M ulaz/izlaz: 1,32 US$ / 5,28 US$
Kontekst: 200.000 tokena
Maks. izlaz: 100.000 tokena
Ulaz → izlaz: Tekst → Tekst
Razvojni inženjer: OpenAI
Ažurirano: 23. septembar 2026.

Pružatelj povlači ovaj model.

Playground

Isprobaj o3-mini

Razgovor

1,32 US$/1M in

Pošalji poruku. Odgovor stigne u cijelosti kada je model gotov (bez streaminga).

Sistemski prompt

Maks. duljina odgovora (tokeni)

⌘/Ctrl + Enter

Ovaj pokus

najviše 0,0055 US$ · 0,55 kredita rezervirano

Naplata se vrši prema stvarno korištenim tokenima; nekorišteni dio rezervacije se vraća.

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O o3-mini

UkratkoStanje: 23. septembar 2026.

o3-mini je model od OpenAI iz kategorije Tekst i chat. Na Railwailu, o3-mini košta 1,32 US$ po 1M ulaznih tokena i 5,28 US$ po 1M izlaznih tokena. Kontekstni prozor sadrži 200.000 tokena, a jedan odgovor može biti dugačak do 100.000 tokena.

Pozadina

O OpenAI

Osnovano 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.

Posjetite OpenAI

Arhitektura

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.

Parametri: Undisclosed (estimated tens of billions of active parameters)
Kontekst: 200.000 tokena

Mogućnosti

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.

Obuka i licenca

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.

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

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

Poznata ograničenja

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

Znanstveni članci

Cijene

Cijene u USD-u. Korištenje se naplaćuje iz unaprijed plaćenih kredita.

Ulaz	1,32 US$ / 1M tokena
Izlaz	5,28 US$ / 1M tokena

Naplaćuje se prema tokenima koje svaki zahtjev zapravo koristi.
1 kredit = 0,01 US$

Kalkulator troškova

Kalkulator cijena

Ulazni tokeni

/ zahtjev

Izlazni tokeni

/ zahtjev

Zahtjevi

Ukupno

0,40 US$

40 kredita

Po zahtjevu

0,004 US$ · 0,4 kredita

Svaki zahtjev se zaokružuje na 0,01 kredita.

API

Pozovi o3-mini sa svojim Railwail API ključem. Koristi ovaj ID modela u zahtjevu:

o3-miniPogledaj API dokumentaciju Dobij API ključ

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
  }'

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["RAILWAIL_API_KEY"],
    base_url="https://railwail.com/api/v1",
)

completion = client.chat.completions.create(
    model="o3-mini",
    messages=[
        {
            "role": "user",
            "content": "Explain what a vector database is in two sentences.",
        },
    ],
    max_tokens=1024,
)

print(completion.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.RAILWAIL_API_KEY,
  baseURL: "https://railwail.com/api/v1",
});

const completion = await client.chat.completions.create({
  model: "o3-mini",
  messages: [
    {
      role: "user",
      content: "Explain what a vector database is in two sentences."
    }
  ],
  max_tokens: 1024
});

console.log(completion.choices[0].message.content);

// npm install railwail
import railwail from "railwail";

const rw = railwail(process.env.RAILWAIL_API_KEY);

const res = await rw.chat("o3-mini", [
  { role: "user", content: "Explain what a vector database is in two sentences." },
], { max_tokens: 1024 });

console.log(res.choices[0].message.content);

Postavite ključ kao RAILWAIL_API_KEYKreiraj API ključ

Specifikacije

ID modela: o3-mini
Razvojni inženjer: OpenAI
Kategorija: Tekst i chat
Ulaz: Tekst
Izlaz: Tekst
Kontekstni prozor: 200.000 tokena
Maks. izlaz: 100.000 tokena
Naplata: Po potrošnji (tokeni ili GPU vrijeme)
Životni ciklus: Zastarjelo
Veličina modela: Undisclosed (estimated tens of billions of active parameters)
Licenca: Proprietary commercial license via OpenAI API, Azure OpenAI Service and ChatGPT. Commercial use permitted.
Katalog ažuriran: 23. septembar 2026.

Oznake

reasoning
coding
math

Primjer promptova

Primjeri iz Railwail kataloga. Nisu generirani uživo na ovoj stranici.

Math Problem
Prove that the square root of 2 is irrational
Prikaži primjer odgovora
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 = p²/q², so p² = 2q². This means p² is even, which implies p is even—write p = 2k. Substituting gives 4k² = 2q², so q² = 2k², 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?
Prikaži primjer odgovora
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.

Primjena

Za što se koristi

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

Povezani vodiči

Best Large Language Models

Svi modeli: Tekst i chat

Često postavljana pitanja

Što je o3-mini?

o3-mini je model od OpenAI iz kategorije Tekst i chat. Na Railwailu ga možete pozvati s API ključem kroz Railwail API.

Koliko stoji o3-mini na Railwailu?

Na Railwailu, o3-mini košta 1,32 US$ po 1M ulaznih tokena i 5,28 US$ po 1M izlaznih tokena. Naplaćuje se ono što svaki zahtjev zapravo koristi. Korištenje se plaća iz unaprijed kupljenih kredita; 1 kredit jednaka je 0,01 US$.

Koliki je kontekstni prozor od o3-mini?

Kontekstni prozor od o3-mini sadrži 200.000 tokena. Jedan odgovor može biti dugačak do 100.000 tokena.

Koliko je brz o3-mini?

Za o3-mini na Railwailu još nema dovoljno izmjerenih pokretanja da bi se navedlo vrijeme izvršavanja. Ovisi o unošenju, postavkama i opterećenju kod pružatelja.

Je li o3-mini bolji od Claude Fable 5.1?

To ovisi o zadatku. o3-mini (OpenAI) i Claude Fable 5.1 (Anthropic) su oba modela iz kategorije Tekst i chat. Stranica za usporedbu prikazuje njihove cijene i specifikacije usporedno.

Usporedi o3-mini i Claude Fable 5.1

Kako koristim o3-mini kroz API?

Kreiraj Railwail API ključ i pošalji svoj zahtjev s ID-om modela o3-mini. Primjeri koda za curl, Python i JavaScript nalaze se u odjeljku API na ovoj stranici.

Usporedivi modeli

Svi u ovoj kategoriji

Claude Fable 5.1Anthropic
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 US$/1M in
809 % skupnije po jedinici
Usporedi o3-mini i Claude Fable 5.1
Claude Opus 4.8Anthropic
The most capable model of Anthropic's Opus 4 series. State of the art on long-horizon agentic work, coding and knowledge tasks, with a 1M-token context window at standard pricing.
6,00 US$/1M in
355 % skupnije po jedinici
Usporedi o3-mini i Claude Opus 4.8
Claude Opus 5.5Anthropic
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 US$/1M in
264 % skupnije po jedinici
Usporedi o3-mini i Claude Opus 5.5

Koristi o3-mini preko API-ja

Jedan API ključ za sve modele na Railwailu. Korištenje se naplaćuje iz unaprijed plaćenih kredita, 1 kredit = 0,01 US$.

Dobij API ključ Pogledaj sve modele