LLM prices / OpenAI / o1
OpenAI API · prices checked Oct 23, 2026
o1 API pricing
Short answero1 costs $15 per 1M input tokens and $60 per 1M output tokens on the OpenAI API (standard price, checked Oct 23, 2026). A typical chatbot reply (1,500 tokens in, 400 out) costs $0.05, so 1,000 replies a day is about $1,395 a month and 1M replies is $46,500. OpenAI's own model page marks it shut down, so it is left out of our picks.
Shut down. OpenAI lists o1 as shut down on its model page. Prices stay here for old bills and migrations. The cheapest current OpenAI model for a chatbot reply is GPT-6 Luna.
Best for
- Bulk jobs that can wait: the batch API bills input at 50% of the standard price.
- Reading more than text: takes image input.
Skip if
- You are starting something new: OpenAI marks it shut down. The cheapest current OpenAI model for a chatbot reply is GPT-6 Luna.
- Cost is your constraint: 25 current models answer a chatbot reply for less; the cheapest is Claude Haiku 5.5 at $0.35 per 1,000.
Rules: Best for = cheapest quarter of current models for a chatbot reply, top 3 on one of our 8 jobs, cache reads at 15% or less of input, batch at 60% or less, 1M+ context, non-text inputs. Skip if = not current on the provider's page, priciest quarter, text only, no cache or batch price, a long-prompt surcharge, preview, under 200K context, no tool calling. Price and spec facts only; we don't score answer quality.
What your volume costs
Pick a job and a monthly volume. Same prices as everything on this page; caching and batch applied where they make it cheaper.
Cost per task, 8 jobs
Per 1,000 requests and per month at a typical volume, billed the cheapest way the price list allows. The rank is among current models that fit the job.
| Job (links to the cheapest model for it) | Per 1,000 | A month | Rank among fits |
|---|---|---|---|
| Chatbota 1,500-token prompt (system prompt plus the conversation so far) and a 400-token reply | $46.50standard price | $1,395at 30,000 a month | does not fit |
| RAG (answer from your docs)6,000 tokens of retrieved passages plus the question, and a 500-token answer | $120standard price | $3,600at 30,000 a month | does not fit |
| Coding agent40,000 tokens of repo context and history, 30,000 of them repeated from the last step and billed at the cache-read price, 2,000 tokens out, tool calling required | $495with the repeated 30,000 tokens billed at the cache-read price | $1,485at 3,000 a month | does not fit |
| Tool-using agent12,000 tokens of instructions, tool definitions and history, 10,000 of them repeated from the last step and cached, 600 tokens out, tool calling required | $141with the repeated 10,000 tokens billed at the cache-read price | $1,410at 10,000 a month | does not fit |
| Vision (read an image)one image counted as 1,000 input tokens plus a 300-token question, and a 300-token answer. Providers count image tokens differently, so treat vision costs as a rough guide | $37.50standard price | $375at 10,000 a month | does not fit |
| Translationa 1,000-token passage in and about 1,100 tokens out (translations run a little longer than the source) | $81.00standard price | $810at 10,000 a month | does not fit |
| Batch extraction2,000 tokens per record in and 300 tokens of JSON out, through the batch API where there is one (results within 24 hours) | $24.00through the batch API | $2,400at 100,000 a month | does not fit |
| Summarize long documentsa 20,000-token document in and an 800-token summary out | $348standard price | $348at 1,000 a month | does not fit |
Cheaper and pricier alternatives
The current models just below and just above o1 on the cost of 1,000 chatbot replies, with what differs. Price only, not quality.
Cheaper
- Claude Fable 5.1 $35.000.75x the cost of a chatbot reply, Anthropic, 1M context vs 200K.
- GPT-6 Astra $35.000.75x the cost of a chatbot reply, same provider, 1.05M context vs 200K.
- GPT-5.5 $19.500.42x the cost of a chatbot reply, same provider, 1.05M context vs 200K.
Pricier
- GPT-5.6 Cyber $48.751.05x the cost of a chatbot reply, same provider, 400K context vs 200K.
- GPT-5.2 Pro $98.702.12x the cost of a chatbot reply, same provider, 400K context vs 200K.
- GPT-5.5 Pro $1172.52x the cost of a chatbot reply, same provider, 1.05M context vs 200K.
Every price tier
| Input | $15 per 1M tokens |
| Output | $60 per 1M tokens |
| Cache read (hit) | $7.5 (50% of the input price) |
| Batch API | $7.5 input / $30 output |
| API model id | o1 |
| Status on the pricing page | listed |
Provider notes: regional processing (data residency) adds 10% for models released on or after 2026-03-05
Model facts from OpenAI
| Context window | 200,000 tokens |
| Max output | 100,000 tokens |
| Input types | text, image |
| Tool calling | yes |
| Lifecycle | shut down |
| Provider note | Page labels this model "Shut down". |
Source: https://developers.openai.com/api/docs/models/o1, checked Oct 24, 2026.
The 6 classic workloads
Per 1,000 requests at the standard price. "With caching" bills the repeated part of the prompt at the cache-read price (cache writes not counted); "via batch" uses the batch API price. Run your own token counts in the LLM API cost calculator.
| Workload | o1per 1,000 requests |
|---|---|
| Chatbot replya 1,500-token prompt (1,000 of it a fixed system prompt) and a 400-token answer | $46.50$39.00 with caching |
| Answer from your docs (RAG)6,000 tokens of retrieved context plus the question, a 500-token answer | $120$112 with caching |
| Summarize a long documenta 20,000-token document in, an 800-token summary out | $348$340 with caching |
| Coding agent step40,000 tokens of repo context and history (30,000 of it repeated from the last step), 2,000 out | $720$495 with caching |
| Batch extraction2,000 tokens per record in, 300 tokens of JSON out, sent through the batch API where there is one | $48.00$24.00 via batch |
| Long-document Q&Aa 150,000-token contract or codebase in one prompt, a 1,000-token answer | $2,310 |
What the numbers say
- Output costs 4x input on o1, so for answer-heavy jobs the output price drives the bill; for document-heavy jobs (RAG, summaries, agents) input does.
- Caching matters: a coding-agent step that rereads 30,000 cached tokens costs 31% less than the same step uncached ($495 vs $720 per 1,000 steps, cache writes not counted). How to stop paying twice for repeated prompts: LLM semantic cache.
- Among 41 listed OpenAI models it is the #32 cheapest for a chat reply.
Every listed OpenAI model, cheapest first
Same chatbot workload, 1,000 replies.
| Model | Input / 1M | Output / 1M | 1,000 chat replies |
|---|---|---|---|
| GPT-5 nanodeprecated | $0.05 | $0.4 | $0.23 |
| GPT-4.1 nanoshut down | $0.1 | $0.4 | $0.31 |
| GPT-6 Luna | $0.1 | $0.5 | $0.35 |
| GPT-4o minideprecated | $0.15 | $0.6 | $0.47 |
| GPT-5.6 Luna | $0.2 | $1.2 | $0.78 |
| GPT-5.4 nanodeprecated | $0.2 | $1.25 | $0.80 |
| GPT-5 minideprecated | $0.25 | $2 | $1.18 |
| GPT-4.1 minideprecated | $0.4 | $1.6 | $1.24 |
| GPT-3.5 Turboshut down | $0.5 | $1.5 | $1.35 |
| GPT-3.5 Turbo (0125)no spec page | $0.5 | $1.5 | $1.35 |
| GPT-5.4 mini | $0.75 | $4.5 | $2.93 |
| o4-minishut down | $1.1 | $4.4 | $3.41 |
| o3-minishut down | $1.1 | $4.4 | $3.41 |
| GPT-5.1deprecated | $1.25 | $10 | $5.88 |
| GPT-5deprecated | $1.25 | $10 | $5.88 |
| GPT-5 Search APIno spec page | $1.25 | $10 | $5.88 |
| GPT-4.1deprecated | $2 | $8 | $6.20 |
| o3deprecated | $2 | $8 | $6.20 |
| GPT-6.1 Sol | $2 | $10 | $7.00 |
| GPT-6 Sol | $2 | $10 | $7.00 |
| GPT-4odeprecated | $2.5 | $10 | $7.75 |
| GPT-5.6 Terra | $2 | $12 | $7.80 |
| GPT-5.2 | $1.75 | $14 | $8.22 |
| GPT-5.3 Codexdeprecated | $1.75 | $14 | $8.22 |
| GPT-5.4 | $2.5 | $15 | $9.75 |
| GPT-4o (2024-05-13)no spec page | $5 | $15 | $13.50 |
| GPT-5.6 Sol | $4 | $20 | $14.00 |
| GPT-5.5 | $5 | $30 | $19.50 |
| chat-latest | $5 | $30 | $19.50 |
| GPT-4 Turbo (2024-04-09)no spec page | $10 | $30 | $27.00 |
| GPT-6 Astra | $10 | $50 | $35.00 |
| o1shut down | $15 | $60 | $46.50 |
| GPT-5.6 Cyber | $12.5 | $75 | $48.75 |
| GPT-5.5 Cyberno spec page | $12.5 | $75 | $48.75 |
| o3-prodeprecated | $20 | $80 | $62.00 |
| GPT-4 (0613)no spec page | $30 | $60 | $69.00 |
| GPT-5 Prodeprecated | $15 | $120 | $70.50 |
| GPT-5.2 Pro | $21 | $168 | $98.70 |
| GPT-5.5 Pro | $30 | $180 | $117 |
| GPT-5.4 Pro | $30 | $180 | $117 |
| o1-proshut down | $150 | $600 | $465 |
Closest price from other providers
The current model from each other provider whose chatbot-reply cost is nearest. Price only: we do not rank quality here.
| Model | Input / 1M | Output / 1M | 1,000 chat replies | vs o1 |
|---|---|---|---|---|
| Claude Fable 5.1Anthropic | $10 | $50 | $35.00 | 0.75x |
| Gemini 3.1 Pro PreviewGoogle | $2 | $12 | $7.80 | 0.17x |
| DeepSeek V4 ProDeepSeek | $1.32 | $3.96 | $3.56 | 0.08x |
Price history
- Oct 23, 2026: o1 added to the table: $15 input / $60 output per 1M tokens.
- Checked against the provider page on 1 date: Oct 23, 2026.
Every change we record is on the LLM price changelog.
Sources
- OpenAI API pricing: https://developers.openai.com/api/docs/pricing, checked Oct 23, 2026.
- Context, inputs and lifecycle: https://developers.openai.com/api/docs/models/o1, checked Oct 24, 2026.
- Dataset: llm-prices (every row names its page and check date) and /llm/prices.csv.
Prices change often. If one is out of date, email matt@tensorust.com and we will fix it.