OpenAI o1-preview
openai/o1-preview出品方： OpenAI · 系列: o · 發布 2024-09-12 · 知識截止: 2023-10
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
能力清單
Model fit scores
0–100 · higher is betterThese 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.
Coding14
- Tool calling0/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability2/10
Agents32
- Tool calling0/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability2/10
JSON / structured output0
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume0/20
Cost efficiency16
- Headline price (log-scaled)16/95
- Has prompt-cache pricing0/5
Long context45
- Context window (100K → 2M)35/90
- Has published price for full window10/10
Production-readiness70
- Number of independent providers10/40
- 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.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $105 $0.10 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 | $210 $0.02 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 | $59.98 $0.06 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 | $180 $0.18 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $216 $0.22 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
定價詳情
推薦定價來自 nano-gpt · openai/o1-preview
最便宜的渠道： github-models · Unknown 輸入 + Unknown 輸出
於 2 家供應商可用
| 服務商 | 服務商模型 ID | 輸入 / 1M | 輸出 / 1M | 上下文 | 發布日期 |
|---|---|---|---|---|---|
| GitHub Models github-models | openai/o1-preview | Unknown | Unknown | 128K | 2024-09-12 |
| NanoGPT nano-gpt | openai/o1-preview | $14.99 | $59.99 | 128K | 2024-09-12 |
Frequently asked questions
How much does OpenAI o1-preview cost?
OpenAI o1-preview costs $14.99 per 1M input tokens and $59.99 per 1M output tokens, sourced from nano-gpt. 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 o1-preview?
OpenAI o1-preview has a context window of 128K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.
Does OpenAI o1-preview support tool calling?
No. OpenAI o1-preview does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does OpenAI o1-preview support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for OpenAI o1-preview in our data source. Verify with OpenAI's official documentation before relying on it in production.
Can OpenAI o1-preview accept image input?
No. OpenAI o1-preview only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is OpenAI o1-preview open-weight?
No. OpenAI o1-preview 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 OpenAI o1-preview?
If OpenAI o1-preview doesn't fit, consider gpt-oss-120b, GPT-5.4, 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More OpenAI models
- gpt-oss-120b$0.03 in / $0.15 out
- GPT-5.4$2.50 in / $15.00 out
- GPT-5.2$1.75 in / $14.00 out
- GPT-5 Mini$0.25 in / $2.00 out
- GPT-5.5$5.00 in / $30.00 out
最近更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.