How much does GPT-5.6 Luna cost per million tokens?
GPT-5.6 Luna costs $0.20 per 1M input tokens and $1.20 per 1M output tokens.
GPT-5.6 Luna API Pricing
Verified standard token pricing for GPT-5.6 Luna, with official-source evidence and computed workload costs.
As of Sep 29, 2026, GPT-5.6 Luna costs $0.20 per 1M input and $1.20 per 1M output tokens, $0.02 cached input. At standard non-cached rates, 10,000 monthly requests using 800 input and 300 output tokens each cost about $5.20, before retries, tools, storage, or provider-specific discounts.
| Model | Input $/1M | Cached input $/1M | Output $/1M | Source | Last verified |
|---|---|---|---|---|---|
| GPT-5.6 Luna | $0.20 | $0.02 | $1.20 | Official source | Sep 29, 2026 |
Prices from official provider pages, verified on the date shown.
Official source detail
Full pricing details
Standard prices are shown per 1M tokens. Provider-specific tiers, components, Batch rates, and time schedules remain separate below.
Long-context pricing tiers
| Tier | Input | Cached input | Output |
|---|---|---|---|
| Long context | $0.40 | $0.04 | $1.80 |
| Short context | $0.20 | $0.02 | $1.20 |
Published pricing components
| Mode and context | Component | Modality | Price |
|---|---|---|---|
| batch · long | cache write | text | $0.25 / per 1m tokens |
| batch · long | cached input | text | $0.02 / per 1m tokens |
| batch · long | input | text | $0.2 / per 1m tokens |
| batch · long | output | text | $0.9 / per 1m tokens |
| batch · short | cache write | text | $0.125 / per 1m tokens |
| batch · short | cached input | text | $0.01 / per 1m tokens |
| batch · short | input | text | $0.1 / per 1m tokens |
| batch · short | output | text | $0.6 / per 1m tokens |
| fast · long | cache write | text | $1 / per 1m tokens |
| fast · long | cached input | text | $0.08 / per 1m tokens |
| fast · long | input | text | $0.8 / per 1m tokens |
| fast · long | output | text | $3.6 / per 1m tokens |
| fast · short | cache write | text | $0.5 / per 1m tokens |
| fast · short | cached input | text | $0.04 / per 1m tokens |
| fast · short | input | text | $0.4 / per 1m tokens |
| fast · short | output | text | $2.4 / per 1m tokens |
| flex · long | cache write | text | $0.25 / per 1m tokens |
| flex · long | cached input | text | $0.02 / per 1m tokens |
| flex · long | input | text | $0.2 / per 1m tokens |
| flex · long | output | text | $0.9 / per 1m tokens |
| flex · short | cache write | text | $0.125 / per 1m tokens |
| flex · short | cached input | text | $0.01 / per 1m tokens |
| flex · short | input | text | $0.1 / per 1m tokens |
| flex · short | output | text | $0.6 / per 1m tokens |
| standard · long | cache write | text | $0.5 / per 1m tokens |
| standard · long | cached input | text | $0.04 / per 1m tokens |
| standard · long | input | text | $0.4 / per 1m tokens |
| standard · long | output | text | $1.8 / per 1m tokens |
| standard · short | cache write | text | $0.25 / per 1m tokens |
| standard · short | cached input | text | $0.02 / per 1m tokens |
| standard · short | input | text | $0.2 / per 1m tokens |
| standard · short | output | text | $1.2 / per 1m tokens |
Batch API: input $0.10 and output $0.60 per 1M tokens.
Official pricing notes: Long-context standard pricing is higher: $0.40 input, $0.04 cached input, $0.50 cache writes, $1.80 output per 1M tokens. Batch and Flex are lower; Priority is higher.
Computed examples
What it costs for real workloads
| Workload | Monthly volume | Input tokens | Output tokens | Estimated cost |
|---|---|---|---|---|
| Side project | 1,000 requests/month | 800,000 | 300,000 | $0.52 |
| Side project | 10,000 requests/month | 8,000,000 | 3,000,000 | $5.20 |
| Side project | 100,000 requests/month | 80,000,000 | 30,000,000 | $52.00 |
| Customer support chatbot | 10,000 conversations/month | 121,650,000 | 10,800,000 | $37.29 |
| Agent task | 1,000 tasks/month | 12,000,000 | 3,200,000 | $6.24 |
| Side project with Batch API | 10,000 requests/month | 8,000,000 | 3,000,000 | $2.60 |
Assumptions
- Side project: 800 input and 300 output tokens per request at 1,000, 10,000, and 100,000 requests per month.
- Customer support chatbot: 6 replies per conversation, 600 system tokens, 90 user-message tokens, 1,000 retrieved-context tokens, 180 output tokens per reply, and 50% history carry, for 10,000 conversations.
- Agent task: 8 model calls per task, 1,500 input and 400 output tokens per call, for 1,000 tasks.
- Standard rows use non-cached, non-batch prices. A Batch row appears only when both published Batch token prices exist.
Verified changes
Price history
On Sep 22, 2026, OpenAI replaced GPT-5.6 Luna with GPT-6 Luna: input $0.20 → $0.10 (−50%) and output $1.20 → $0.50 (−58.3%) per 1M tokens.
View this update in the price monitor
Availability evidence
Lifecycle
- Status
- active
- Release date
- Jul 9, 2026
- Context window
- Short / long
- Pricing basis
- V2 projection default price
Nearby blended prices
Compare with
Alternatives are nearest by a 3:1 input-to-output blended token price, with same-provider coverage when available.
| Model | Input / 1M | Output / 1M | Side project, 10k requests |
|---|---|---|---|
| GPT-6 Luna | $0.10 | $0.50 | $2.30 |
| Codestral | $0.30 | $0.90 | $5.10 |
| DeepSeek V4.1 Flash | $0.30 | $1.20 | $6.00 |
Next steps
Related
Common questions
Frequently asked questions
Does GPT-5.6 Luna have cached input pricing?
Yes. The published cached-input price is $0.02 per 1M tokens.
How much does GPT-5.6 Luna cost for 10,000 requests a month?
Using 800 input and 300 output tokens per request at standard non-cached rates, 10,000 monthly requests cost about $5.20.
Where does this GPT-5.6 Luna price come from?
The prices come from OpenAI's official pricing source and were verified on Sep 29, 2026. See the pricing dataset methodology.