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o3

openai/o3

من OpenAI · العائلة: o · أُصدِر 2025-04-16 · تاريخ المعرفة: 2024-05

$2.00
الإدخال / 1M رمز
$8.00
الإخراج / 1M رمز
200K
نافذة السياق
100K
أقصى إخراج

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

القدرات

استدعاء الأدواتتفكيرإخراج منظمالمرفقاتأوزان مفتوحةالتحكم بالحرارة
الوسائط المدعومة: إدخال text, image, pdf · إخراج 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.

Coding86
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)6/20
  • Provider availability10/10
Agents100
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability10/10
JSON / structured output70
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control0/10
  • Price-friendly for high-volume0/20
Cost efficiency42
  • Headline price (log-scaled)37/95
  • Has prompt-cache pricing5/5
Long context55
  • Context window (100K → 2M)45/90
  • Has published price for full window10/10
Vision90
  • Accepts image input50/50
  • Context window (10K → 1M)20/30
  • Has published price10/10
  • Provider availability10/10
Production-readiness94
  • Number of independent providers40/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers4/10
  • 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
$14.00
$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
$28.00
< $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
$8.00
< $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
$24.00
$0.02 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$28.80
$0.03 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

تفاصيل التسعير

السعر المُوصى به من openai · o3

$2.00
إدخال
$8.00
إخراج
$0.500
قراءة من الكاش

أرخص مزود: github-models · Unknown إدخال + Unknown إخراج

متاح لدى 13 مزود

المزودمعرف نموذج المزودإدخال / 1Mإخراج / 1Mالسياقتاريخ الإصدار
OpenAI
openai
o3$2.00$8.00200K2025-04-16
Azure Cognitive Services
azure-cognitive-services
o3$2.00$8.00200K2025-04-16
Azure
azure
o3$2.00$8.00200K2025-04-16
GitHub Models
github-models
openai/o3UnknownUnknown200K2025-01-31
Vercel AI Gateway
vercel
openai/o3$2.00$8.00200K2025-04-16
NanoGPT
nano-gpt
openai/o3$2.00$8.00200K2025-04-16
Abacus
abacus
o3$2.00$8.00200K2025-04-16
Jiekou.AI
jiekou
o3$10.00$40.00131K2026-01
Kilo Gateway
kilo
openai/o3$2.00$8.00200K2025-04-16
Cloudflare AI Gateway
cloudflare-ai-gateway
openai/o3$2.00$8.00200K2025-04-16
Poe
poe
openai/o3$1.80$7.20200K2025-04-16
DigitalOcean
digitalocean
openai-o3$2.00$8.00200K2025-04-16
LLM Gateway
llmgateway
o3$2.00$8.00200K2025-04-16

اختلافات في بيانات المزودين

  • context_window varies: 131072, 200000
  • release_date varies (span 335d): 2025-01-31, 2025-04-16, 2026-01
  • modalities varies across offerings

يبلِّغ المزودون قيمًا مختلفة لهذا النموذج. تستخدم الحقائق السريعة أعلاه مزودًا تمثيليًا؛ راجع الجدول للتفاصيل لكل مزود.

Frequently asked questions

How much does o3 cost?

o3 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens, sourced from openai. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of o3?

o3 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 o3 support tool calling?

Yes. o3 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 o3 support structured output / JSON mode?

Yes. o3 supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can o3 accept image input?

Yes. o3 accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check OpenAI's docs for the exact rule.

Is o3 open-weight?

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

What are the best alternatives to o3?

If o3 doesn't fit, consider GPT OSS 120B, GPT OSS 20B, GPT-5.2. 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 OpenAI models

آخر تحديث:

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.