GPT-5.6 Luna API pricing
Standard tier, blended at 3:1 input to output: $0.450 per million tokens.
OpenAI charges $0.200 per million input tokens and $1.20 per million output tokens for GPT-5.6 Luna. It is sold in 5 forms, from $0.225 to $0.450 blended; the table below shows what each costs against standard. 5 of the models nearest it in price are cheaper on a blended basis.
Every tier of GPT-5.6 Luna
Blended at 3:1 input to output. The last column compares each against the standard tier.
| Source | ||||||||
|---|---|---|---|---|---|---|---|---|
| Standard Standard | gpt-5.6-luna | OpenAI | $0.200 | $1.20 | $0.020 | $0.450 | Standard | ↗ |
| Standard | gpt-5.6-luna | OpenRouter | $0.200 | $1.20 | $0.020 | $0.450 | Same | ↗ |
| Batch | gpt-5.6-luna:batch | OpenRouter | $0.100 | $0.600 | $0.010 | $0.225 | −50% | ↗ |
| Pro | gpt-5.6-luna-pro | OpenRouter | $0.200 | $1.20 | $0.020 | $0.450 | Same | ↗ |
| Pro · Batch | gpt-5.6-luna-pro:batch | OpenRouter | $0.100 | $0.600 | $0.010 | $0.225 | −50% | ↗ |
Prices last checked: . Methodology
Which tier to use
What each costs against standard in our data, and the job it is for.
Batch
The batch tier (gpt-5.6-luna:batch) is 50% cheaper than standard. Batch requests are queued and answered asynchronously, typically within 24 hours, so it suits work nobody is waiting on: evaluations, back-fills, bulk classification and tagging. Anything a user is waiting on belongs on the standard tier.
Pro
gpt-5.6-luna-pro is the same price as standard. Pro tiers spend more compute on each request. At this price the trade-off is latency rather than cost: expect slower answers. Pro is also sold as batch (gpt-5.6-luna-pro:batch), 50% cheaper than standard, for hard problems that can wait a day.
Direct or through a reseller
Through OpenRouter, gpt-5.6-luna is the same price as buying direct. A reseller is worth it for one bill across vendors and automatic fallback; buy direct for the vendor's own batch, caching and rate-limit terms.
Against the models nearest in price
Standard tiers, blended at a 3:1 input to output ratio.
| Source | ||||||
|---|---|---|---|---|---|---|
| GPT-5.6 Luna This model | OpenAI | $0.200 | $1.20 | 922,000 | $0.450 | ↗ |
| GPT-5.4 nano | OpenAI | $0.200 | $1.25 | 272,000 | $0.463 | ↗ |
| DeepSeek V3 | DeepSeek | $0.270 | $1.10 | 65,536 | $0.477 | ↗ |
| Llama 3.1 70B Instruct | OpenRouter | $0.400 | $0.400 | 131,072 | $0.400 | ↗ |
| DeepSeek Chat | DeepSeek | $0.280 | $0.420 | 131,072 | $0.315 | ↗ |
| DeepSeek Reasoner | DeepSeek | $0.280 | $0.420 | 131,072 | $0.315 | ↗ |
| DeepSeek V3.2 | DeepSeek | $0.280 | $0.400 | 163,840 | $0.310 | ↗ |
| Llama 4 Maverick | OpenRouter | $0.188 | $0.652 | 524,288 | $0.304 | ↗ |
| Command A Plus | OpenRouter | $0.300 | $1.50 | 192,000 | $0.600 | ↗ |
Prices last checked: . Methodology
Questions
How much does GPT-5.6 Luna cost per million tokens?
$0.200 per million input tokens and $1.20 per million output tokens, with cached input at $0.020. At a 3:1 input to output mix that blends to $0.450. Checked 28 Oct 2026.
How much cheaper is GPT-5.6 Luna through the Batch API?
gpt-5.6-luna:batch costs $0.100 in and $0.600 out per million tokens, 50% cheaper than standard, in exchange for asynchronous delivery.
What does GPT-5.6 Luna Pro cost?
gpt-5.6-luna-pro costs $0.200 in and $1.20 out per million tokens, the same price as standard.
What would GPT-5.6 Luna cost for a real workload?
A thousand requests a day at 2,000 input and 600 output tokens each comes to $33.60 a month on the standard tier, or $16.80 through batch.
What is the context window for GPT-5.6 Luna?
922,000 tokens of input, with up to 128,000 tokens of output.
GPT-5.4 nano · DeepSeek V3 · Llama 3.1 70B Instruct · DeepSeek Chat · DeepSeek Reasoner · All OpenAI models · Cost calculator