OpenAI GPT-5.6 Luna Pro API Pricing

OpenAI GPT-5.6 Luna Pro API pricing: $0.20 per 1M tokens for input and $1.20 per 1M tokens for output, from OpenRouter. Published Last checked · Source (data) · Methodology

OpenRouter: Amount worked out from the source page: $0.20 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.

Data as of9 Nov 2026Prices checked 9 Nov 2026 · test requests to 8 Nov 2026Data & API
Task receipt: OpenRouter: $0.035; Warm cache: $0.010; Published batch: $0.018 Calculated · Document analysis Assumption: 3 steps; initial input 50,500 tokens; growth 2,500 tokens/step; visible output 1,000 tokens/step. Month: 14,600 tasks. No hidden reasoning or retries. Warm-cache saving: $0.025 per task. Dashed outline: the no-cache bill.
Task receipt.Calculated · Document analysis Assumption: 3 steps; initial input 50,500 tokens; growth 2,500 tokens/step; visible output 1,000 tokens/step. Month: 14,600 tasks. No hidden reasoning or retries. Warm-cache saving: $0.025 per task. Dashed outline: the no-cache bill. Open image · Explore the chart · Measured Lab · CC BY 4.0

Prices USD per 1M tokens, as listed

  • $0.20Input per 1M tokens, through OpenRouter Published
  • $1.20Output per 1M tokens, through OpenRouter Published
  • $0.10Batch input per 1M tokens, through OpenRouter Published
All prices by channel
Price per 1M tokensProvider directThrough OpenRouterPrevious prices by channel
Input—$0.20 Published—
Output—$1.20 Published—
Cached input · read—$0.02 Published—
Cache write—$0.25 Published—
Batch · input / output—$0.10 / $0.60 Published—

Input price through OpenRouter, 16 Oct 2026 – 9 Nov 2026

16 Oct 2026$0.20 throughout9 Nov 2026

Context window1,050,000tokens Published
Max output128,000tokens Published

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: $0.10 / $0.60 · OpenAI (openai/flex)

Unpinned range: input $0.10–$0.40, output $0.60–$2.40 across 5 endpoints of 2 providers (listing shows $0.20 / $1.20).

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 (5), by input price
ProviderEndpoint tagPrecisionInputOutputContext, tokens
OpenAIopenai/flexNot stated$0.10$0.601,050,000
AzureazureNot stated$0.20$1.201,050,000
OpenAIopenaiNot stated$0.20$1.201,050,000
Azureazure/euNot stated$0.22$1.321,050,000
OpenAIopenai/fastNot stated$0.40$2.401,050,000

Sorted by input price, then output price. Precision is the quantization field of the endpoints list.

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

QuestionAnswerCheckedStatus
How much does OpenAI GPT-5.6 Luna Pro cost per 1M cache-read tokens (cache hits) on OpenRouter?$0.02 per 1M tokensPublished
How much does OpenAI GPT-5.6 Luna Pro cost per 1M cache-write tokens on OpenRouter?$0.25 per 1M tokensPublished
How much does OpenAI GPT-5.6 Luna Pro cost per 1M output tokens on OpenRouter?$1.20 per 1M tokensPublished
What is the context window of OpenAI GPT-5.6 Luna Pro on OpenRouter, in tokens?1,050,000 tokensPublished
What is the maximum output length of OpenAI GPT-5.6 Luna Pro on OpenRouter, in tokens?128,000 tokensPublished

History

Same price in all 25 checks since 16 Oct 2026.

  1. — First check: $0.20 per 1M tokens

The source record lists $0.0000002 per token ($0.20 per 1M tokens), fetched on 9 Nov 2026.

The source record, as published
"prompt":"0.0000002"
What the source says · openrouter.ai

Latest briefings each price change recalculated as a task cost

  1. DeepSeek V4 Pro 0813: price rise input $0.115 → $0.111 per 1M tokens (-3 %), output $4.00 → $4.44 per 1M tokens (+11 %)
  2. 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 %)
  3. MoonshotAI Kimi K2.5: price rise input $0.500 → $0.532 per 1M tokens (+6 %), output $2.50 → $3.33 per 1M tokens (+33 %)

All briefings

Record history — 126 records for 6 questions
Last record
Shown in
the United States
How much does OpenAI GPT-5.6 Luna Pro cost per 1M input tokens on OpenRouter?
TimeValueStatus
9 Nov 2026$0.20 per 1M tokensPublished
8 Nov 2026$0.20 per 1M tokensPublished
7 Nov 2026$0.20 per 1M tokensPublished
6 Nov 2026$0.20 per 1M tokensPublished
5 Nov 2026$0.20 per 1M tokensPublished
4 Nov 2026$0.20 per 1M tokensPublished
3 Nov 2026$0.20 per 1M tokensPublished
2 Nov 2026$0.20 per 1M tokensPublished
1 Nov 2026$0.20 per 1M tokensPublished
31 Oct 2026$0.20 per 1M tokensPublished
How much does OpenAI GPT-5.6 Luna Pro cost per 1M cache-read tokens (cache hits) on OpenRouter?
TimeValueStatus
9 Nov 2026$0.02 per 1M tokensPublished
8 Nov 2026$0.02 per 1M tokensPublished
7 Nov 2026$0.02 per 1M tokensPublished
6 Nov 2026$0.02 per 1M tokensPublished
5 Nov 2026$0.02 per 1M tokensPublished
4 Nov 2026$0.02 per 1M tokensPublished
3 Nov 2026$0.02 per 1M tokensPublished
2 Nov 2026$0.02 per 1M tokensPublished
1 Nov 2026$0.02 per 1M tokensPublished
31 Oct 2026$0.02 per 1M tokensPublished
How much does OpenAI GPT-5.6 Luna Pro cost per 1M cache-write tokens on OpenRouter?
TimeValueStatus
9 Nov 2026$0.25 per 1M tokensPublished
8 Nov 2026$0.25 per 1M tokensPublished
7 Nov 2026$0.25 per 1M tokensPublished
6 Nov 2026$0.25 per 1M tokensPublished
5 Nov 2026$0.25 per 1M tokensPublished
4 Nov 2026$0.25 per 1M tokensPublished
3 Nov 2026$0.25 per 1M tokensPublished
2 Nov 2026$0.25 per 1M tokensPublished
1 Nov 2026$0.25 per 1M tokensPublished
31 Oct 2026$0.25 per 1M tokensPublished
How much does OpenAI GPT-5.6 Luna Pro cost per 1M output tokens on OpenRouter?
TimeValueStatus
9 Nov 2026$1.20 per 1M tokensPublished
8 Nov 2026$1.20 per 1M tokensPublished
7 Nov 2026$1.20 per 1M tokensPublished
6 Nov 2026$1.20 per 1M tokensPublished
5 Nov 2026$1.20 per 1M tokensPublished
4 Nov 2026$1.20 per 1M tokensPublished
3 Nov 2026$1.20 per 1M tokensPublished
2 Nov 2026$1.20 per 1M tokensPublished
1 Nov 2026$1.20 per 1M tokensPublished
31 Oct 2026$1.20 per 1M tokensPublished
What is the context window of OpenAI GPT-5.6 Luna Pro on OpenRouter, in tokens?
TimeValueStatus
9 Nov 20261,050,000 tokensPublished
8 Nov 20261,050,000 tokensPublished
7 Nov 20261,050,000 tokensPublished
6 Nov 20261,050,000 tokensPublished
5 Nov 20261,050,000 tokensPublished
4 Nov 20261,050,000 tokensPublished
3 Nov 20261,050,000 tokensPublished
2 Nov 20261,050,000 tokensPublished
1 Nov 20261,050,000 tokensPublished
31 Oct 20261,050,000 tokensPublished
What is the maximum output length of OpenAI GPT-5.6 Luna Pro on OpenRouter, in tokens?
TimeValueStatus
9 Nov 2026128,000 tokensPublished
8 Nov 2026128,000 tokensPublished
7 Nov 2026128,000 tokensPublished
6 Nov 2026128,000 tokensPublished
5 Nov 2026128,000 tokensPublished
4 Nov 2026128,000 tokensPublished
3 Nov 2026128,000 tokensPublished
2 Nov 2026128,000 tokensPublished
1 Nov 2026128,000 tokensPublished
31 Oct 2026128,000 tokensPublished

Showing the latest 60 of 126 records; the full history is in data.json and data.csv.

Explore the numbers

GPT-5.6 Luna Pro

OpenRouter$0.035Warm cache$0.010Published batch$0.018$0.00$0.01$0.02$0.03$0.04OpenRouter$0.035Warm cache$0.010Published batch$0.018$0.00$0.01$0.02$0.03$0.04
OpenRouter$516.84Warm cache$148.96Published batch$258.42$0$200$400$600OpenRouter$516.84Warm cache$148.96Published batch$258.42$0$200$400$600

Calculated · Document analysis

Assumption: 3 steps; initial input 50,500 tokens; growth 2,500 tokens/step; visible output 1,000 tokens/step. Month: 14,600 tasks. No hidden reasoning or retries.

Warm-cache saving: $0.025 per task. Dashed outline: the no-cache bill.

Assumption: first-step cache fraction 75%; earlier context is read again and new context is written. All calls stay within the cache lifetime.

Formula: sum of input, output, cache reads and cache writes × their published rates / 1M. Each step uses its own context tier. Missing cache or batch prices are Unknown.

Fresh input · Visible output · Cache read · Cache write

Sources: this page; published model prices (data (JSON)); task assumptions (data (JSON)). Published prices · Observed responses · Calculated scenarios · Assumptions stated with each chart.