OpenAI GPT-6 Luna API Pricing and Speed
OpenAI GPT-6 Luna API pricing: $0.10 per 1M tokens for input and $0.50 per 1M tokens for output, from the official API price list of OpenAI. Official rate checked (source); OpenRouter is a separate channel below. Our measured latency and output speed are shown by route and country below. Published OpenRouter: Last checked · Source (data) · Methodology
OpenRouter: Amount worked out from the source page: $0.10 per 1M tokens, in USD · as shown in the United States on 9 Nov 2026 · the page does not say whether tax is included; we do not assume it is excluded · no price change seen since 16 Oct 2026.
Quality on your task: not measured by Measured Lab yet. On our data, GPT-6 Luna fits 6 of 6 common tasks by published prices, context window and terms, with calculated monthly costs.
What can I use it for?
Six common tasks cost a month at list prices
- Calculated Answer customer messages: $2.12 for 5,000 customer messages a month
- Calculated Pull data from invoices and documents with strict JSON and page images: $0.80 for 2,000 documents a month
- Calculated Summarize documents and meetings: $0.98 for 1,000 documents or meetings a month
- Calculated Translate content: $1.65 for 3,000 pages a month
- Calculated Chat assistant on your website: $20.85 for 10,000 conversations a month
- Calculated Write and review code with tool calls: $5.88 for 500 coding tasks a month
What our data confirms
- Published Strict JSON output, in OpenAI documentation, read 17 Oct 2026
- Published Calls your tools, in OpenAI documentation, read 17 Oct 2026
- Published Reads images; OpenRouter listing, 9 Nov 2026
Example to try
“Read this invoice and return the supplier, invoice number, date, total and tax as JSON; leave a field empty if it is not on the page.” Run it on your own data before you choose.
What we measured
- Observed Speed on a short test request: first token 2.9 s, 159 tokens/s (median of 70 test requests on 14 dates, short request)
- Observed Hidden reasoning: 212 tokens on that request, billed as output
Before you choose
- Published Training on your data, per OpenAI API data controls: no — API data is not used for training unless you explicitly opt in to share it, read 9 Nov 2026
- Unknown Where requests are processed: Unknown
Prices USD per 1M tokens, as listed
- $0.10Input per 1M tokens, from OpenAI Published
- $0.50Output per 1M tokens, from OpenAI Published
- $0.01Cached input per 1M tokens, from OpenAI Published
All prices by channel
| Price per 1M tokens | OpenAI direct | Through OpenRouter | Previous prices by channel |
|---|---|---|---|
| Input | $0.10 Published | $0.10 Published | — |
| Output | $0.50 Published | $0.50 Published | — |
| Cached input · read | $0.01 Published | $0.01 Published | — |
| Cache write | $0.125 Published | $0.125 Published | — |
| Above the long-request threshold · input | $0.20 Published | — | — |
| Above the long-request threshold · output | $0.75 Published | — | — |
| Above the long-request threshold · cached input | $0.02 Published | — | — |
| Batch · input / output | — | $0.05 / $0.25 Published | — |
Input price from OpenAI, 16 Oct 2026 – 9 Nov 2026
16 Oct 2026$0.10 throughout9 Nov 2026
Input price through OpenRouter, 16 Oct 2026 – 9 Nov 2026
16 Oct 2026$0.10 throughout9 Nov 2026
OpenRouter providers who serves this model through OpenRouter, at what price
OpenRouter sends a call without a pinned provider to one of these endpoints, and each endpoint has its own price. Prices are USD per 1M tokens, input / output.
Pinned min: $0.05 / $0.25 · OpenAI (openai/flex)
Unpinned range: input $0.05–$0.20, output $0.25–$1.00 across 8 endpoints of 3 providers (listing shows $0.10 / $0.50).
Models with the widest provider price spread on OpenRouter
Request fragment that pins OpenAI (openai/flex):
{"provider": {"order": ["openai/flex"], "allow_fallbacks": false}}With fallbacks turned off, OpenRouter does not move the call to another provider. A full endpoint tag pins that endpoint; the provider name alone covers all of its endpoints (OpenRouter provider routing).
All endpoints (8), by input price
| Provider | Endpoint tag | Precision | Input | Output | Context, tokens |
|---|---|---|---|---|---|
| OpenAI | openai/flex | Not stated | $0.05 | $0.25 | 1,050,000 |
| Amazon Bedrock | amazon-bedrock/global | Not stated | $0.10 | $0.50 | 1,050,000 |
| Azure | azure | Not stated | $0.10 | $0.50 | 1,050,000 |
| OpenAI | openai | Not stated | $0.10 | $0.50 | 1,050,000 |
| Amazon Bedrock | amazon-bedrock/us-east-1 | Not stated | $0.11 | $0.55 | 1,050,000 |
| Azure | azure/eu | Not stated | $0.11 | $0.55 | 1,050,000 |
| Azure | azure/us | Not stated | $0.11 | $0.55 | 1,050,000 |
| OpenAI | openai/fast | Not stated | $0.20 | $1.00 | 1,050,000 |
Sorted by input price, then output price. Precision is the quantization field of the endpoints list.
Measured by us our own short test request: about 380 tokens in, a short JSON answer out · medians from answers on two dates or more
United States
| Route | First answer token | Output speed | Cost per request | Hidden reasoning |
|---|---|---|---|---|
| Direct API · OpenAIreasoning: low70 answers on 14 dates · 100 % answered | 2.94 srange 1.98–7.57 s · slow 10 %: 5.02 s Observed | 159 tokens/srange 95.1–239 · slowest 10 %: 123 tokens/s | $0.000181range $0.000142–$0.000431 Calculated | 212for 79 visible |
United Kingdom
| Route | First answer token | Output speed | Cost per request | Hidden reasoning |
|---|---|---|---|---|
| Direct API · OpenAIreasoning: low70 answers on 14 dates · 100 % answered | 3.00 srange 1.84–6.29 s · slow 10 %: 4.44 s Observed | 167 tokens/srange 89.8–215 · slowest 10 %: 131 tokens/s | $0.000181range $0.000141–$0.000407 Calculated | 210for 78 visible |
Germany
| Route | First answer token | Output speed | Cost per request | Hidden reasoning |
|---|---|---|---|---|
| Direct API · OpenAIreasoning: low70 answers on 14 dates · 100 % answered | 3.01 srange 1.55–8.30 s · slow 10 %: 4.46 s Observed | 165 tokens/srange 84.4–211 · slowest 10 %: 118 tokens/s | $0.000175range $0.000101–$0.000341 Calculated | 199for 77 visible |
Canada
| Route | First answer token | Output speed | Cost per request | Hidden reasoning |
|---|---|---|---|---|
| Direct API · OpenAIreasoning: low70 answers on 14 dates · 100 % answered | 2.99 srange 0.73–6.16 s · slow 10 %: 5.10 s Observed | 162 tokens/srange 80.1–238 · slowest 10 %: 115 tokens/s | $0.000177range $0.000071–$0.000396 Calculated | 205for 78 visible |
Australia
| Route | First answer token | Output speed | Cost per request | Hidden reasoning |
|---|---|---|---|---|
| Direct API · OpenAIreasoning: low70 answers on 14 dates · 100 % answered | 3.66 srange 2.10–11.69 s · slow 10 %: 5.36 s Observed | 163 tokens/srange 96.0–263 · slowest 10 %: 131 tokens/s | $0.000179range $0.000149–$0.00042 Calculated | 206for 79 visible |
- Hidden reasoning tokens are billed as output, at the output price, even though they are not part of the answer.
How the test works and what each number means: methodology. The figures are also in our open data.
What typical tasks cost with this model
| Task | At OpenAI's price ($0.10 / $0.50) | Through OpenRouter ($0.10 / $0.50) |
|---|---|---|
| 1,000 chat replies | $0.25 | $0.25 |
| Summarizing 100 documents | $0.06 | $0.06 |
| A day of coding assistant use | $0.20 | $0.20 |
Calculated Prices per 1M tokens (input / output) in brackets; token counts and what is not included: our assumptions and the same tasks on other models.
How we got this number
- What we read: the published price on openrouter.ai/api/v1/models
- Checked: ; tracked since 16 Oct 2026
- Shown in: the United States
- Checks so far: 25 checks since 16 Oct 2026
- What changed: no price change since 16 Oct 2026
- Page updated:
Other measured facts
| Question | Answer | Checked | Status |
|---|---|---|---|
| Above how many request tokens does GPT-6 Luna switch to its long-request price directly from OpenAI (official API price)? | 272 thousand tokens | Published | |
| How much does GPT-6 Luna cost per 1M cache-read tokens (cache hits) directly from OpenAI (official API price)? | $0.01 per 1M tokens | Published | |
| How much does GPT-6 Luna cost per 1M cache-read tokens (cache hits) when a request is above the long-request threshold, directly from OpenAI (official API price)? | $0.02 per 1M tokens | Published | |
| How much does GPT-6 Luna cost per 1M cache-write tokens directly from OpenAI (official API price)? | $0.13 per 1M tokens | Published | |
| How much does GPT-6 Luna cost per 1M cache-write tokens when a request is above the long-request threshold, directly from OpenAI (official API price)? | $0.25 per 1M tokens | Published | |
| How much does GPT-6 Luna cost per 1M input tokens directly from OpenAI (official API price)? | $0.10 per 1M tokens | Published | |
| How much does GPT-6 Luna cost per 1M output tokens directly from OpenAI (official API price)? | $0.50 per 1M tokens | Published | |
| How much does GPT-6 Luna cost per 1M request tokens when a request is above the long-request threshold, directly from OpenAI (official API price)? | $0.20 per 1M tokens | Published | |
| How much does GPT-6 Luna cost per 1M response tokens when a request is above the long-request threshold, directly from OpenAI (official API price)? | $0.75 per 1M tokens | Published | |
| How much does OpenAI GPT-6 Luna cost per 1M cache-read tokens (cache hits) on OpenRouter? | $0.01 per 1M tokens | Published | |
| How much does OpenAI GPT-6 Luna cost per 1M cache-write tokens on OpenRouter? | $0.13 per 1M tokens | Published | |
| How much does OpenAI GPT-6 Luna cost per 1M output tokens on OpenRouter? | $0.50 per 1M tokens | Published | |
| What is the context window of OpenAI GPT-6 Luna on OpenRouter, in tokens? | 1,050,000 tokens | Published | |
| What is the maximum output length of OpenAI GPT-6 Luna on OpenRouter, in tokens? | 128,000 tokens | Published |
History
Same price in all 25 checks since 16 Oct 2026.
- — First check: $0.10 per 1M tokens
- Short-lived or unconfirmed moves are not shown as changes.
The source record lists $0.0000001 per token ($0.10 per 1M tokens), fetched on 9 Nov 2026.
The source record, as published
"prompt":"0.0000001"
Latest briefings each price change recalculated as a task cost
- DeepSeek V4 Pro 0813: price rise input $0.115 → $0.111 per 1M tokens (-3 %), output $4.00 → $4.44 per 1M tokens (+11 %)
- DeepSeek V4.1 Flash 1017: price cut input $0.300 → $0.0060 per 1M tokens (-98 %), output $1.20 → $0.500 per 1M tokens (-58 %)
- MoonshotAI Kimi K2.5: price rise input $0.500 → $0.532 per 1M tokens (+6 %), output $2.50 → $3.33 per 1M tokens (+33 %)
Record history — 343 records for 15 questions
- Last record
- Shown in
- the United States
| Time | Value | Status |
|---|---|---|
| 9 Nov 2026 | $0.10 per 1M tokens | Published |
| 8 Nov 2026 | $0.10 per 1M tokens | Published |
| 7 Nov 2026 | $0.10 per 1M tokens | Published |
| 6 Nov 2026 | $0.10 per 1M tokens | Published |
| Time | Value | Status |
|---|---|---|
| 9 Nov 2026 | 272 thousand tokens | Published |
| 8 Nov 2026 | 272 thousand tokens | Published |
| 7 Nov 2026 | 272 thousand tokens | Published |
| 6 Nov 2026 | 272 thousand tokens | Published |
| Time | Value | Status |
|---|---|---|
| 9 Nov 2026 | $0.01 per 1M tokens | Published |
| 8 Nov 2026 | $0.01 per 1M tokens | Published |
| 7 Nov 2026 | $0.01 per 1M tokens | Published |
| 6 Nov 2026 | $0.01 per 1M tokens | Published |
| Time | Value | Status |
|---|---|---|
| 9 Nov 2026 | $0.02 per 1M tokens | Published |
| 8 Nov 2026 | $0.02 per 1M tokens | Published |
| 7 Nov 2026 | $0.02 per 1M tokens | Published |
| 6 Nov 2026 | $0.02 per 1M tokens | Published |
| Time | Value | Status |
|---|---|---|
| 9 Nov 2026 | $0.13 per 1M tokens | Published |
| 8 Nov 2026 | $0.13 per 1M tokens | Published |
| 7 Nov 2026 | $0.13 per 1M tokens | Published |
| 6 Nov 2026 | $0.13 per 1M tokens | Published |
| Time | Value | Status |
|---|---|---|
| 9 Nov 2026 | $0.25 per 1M tokens | Published |
| 8 Nov 2026 | $0.25 per 1M tokens | Published |
| 7 Nov 2026 | $0.25 per 1M tokens | Published |
| 6 Nov 2026 | $0.25 per 1M tokens | Published |
| Time | Value | Status |
|---|---|---|
| 9 Nov 2026 | $0.10 per 1M tokens | Published |
| 8 Nov 2026 | $0.10 per 1M tokens | Published |
| 7 Nov 2026 | $0.10 per 1M tokens | Published |
| 6 Nov 2026 | $0.10 per 1M tokens | Published |
| Time | Value | Status |
|---|---|---|
| 9 Nov 2026 | $0.50 per 1M tokens | Published |
| 8 Nov 2026 | $0.50 per 1M tokens | Published |
| 7 Nov 2026 | $0.50 per 1M tokens | Published |
| 6 Nov 2026 | $0.50 per 1M tokens | Published |
| Time | Value | Status |
|---|---|---|
| 9 Nov 2026 | $0.20 per 1M tokens | Published |
| 8 Nov 2026 | $0.20 per 1M tokens | Published |
| 7 Nov 2026 | $0.20 per 1M tokens | Published |
| 6 Nov 2026 | $0.20 per 1M tokens | Published |
| Time | Value | Status |
|---|---|---|
| 9 Nov 2026 | $0.75 per 1M tokens | Published |
| 8 Nov 2026 | $0.75 per 1M tokens | Published |
| 7 Nov 2026 | $0.75 per 1M tokens | Published |
| 6 Nov 2026 | $0.75 per 1M tokens | Published |
| Time | Value | Status |
|---|---|---|
| 9 Nov 2026 | $0.01 per 1M tokens | Published |
| 8 Nov 2026 | $0.01 per 1M tokens | Published |
| 7 Nov 2026 | $0.01 per 1M tokens | Published |
| 6 Nov 2026 | $0.01 per 1M tokens | Published |
| Time | Value | Status |
|---|---|---|
| 9 Nov 2026 | $0.13 per 1M tokens | Published |
| 8 Nov 2026 | $0.13 per 1M tokens | Published |
| 7 Nov 2026 | $0.13 per 1M tokens | Published |
| 6 Nov 2026 | $0.13 per 1M tokens | Published |
| Time | Value | Status |
|---|---|---|
| 9 Nov 2026 | $0.50 per 1M tokens | Published |
| 8 Nov 2026 | $0.50 per 1M tokens | Published |
| 7 Nov 2026 | $0.50 per 1M tokens | Published |
| 6 Nov 2026 | $0.50 per 1M tokens | Published |
| Time | Value | Status |
|---|---|---|
| 9 Nov 2026 | 1,050,000 tokens | Published |
| 8 Nov 2026 | 1,050,000 tokens | Published |
| 7 Nov 2026 | 1,050,000 tokens | Published |
| 6 Nov 2026 | 1,050,000 tokens | Published |
| Time | Value | Status |
|---|---|---|
| 9 Nov 2026 | 128,000 tokens | Published |
| 8 Nov 2026 | 128,000 tokens | Published |
| 7 Nov 2026 | 128,000 tokens | Published |
| 6 Nov 2026 | 128,000 tokens | Published |
Showing the latest 60 of 343 records; the full history is in data.json and data.csv.