GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...
Context
1.1Mtokens
About 1,500 pages of text at once
Max output
128Ktokens
About 183 pages in one answer
Intelligence
—
No score published for this model.
Output speed
142tokens/s
A 500-word answer in about 4.9 s
From public market statistics for this model
First token
8.4s
Reasoning models start later
From public market statistics for this model
Health, 30 days
50.00%
0 of 30 days without a fault
IranRouter’s measurements
Price & cost
Every rate in Rial. A request pays only for the tokens it actually uses.
| Input | 549,606 | IRR / 1M tokens |
|---|---|---|
| Output | 3,297,638 | IRR / 1M tokens |
| Reasoning tokensThe output rate | 3,297,638 | IRR / 1M tokens |
| Cache read | 54,961 | IRR / 1M tokens |
| Cache write, 5 minutes | 687,008 | IRR / 1M tokens |
| Image input tokensThe input rate | 549,606 | IRR / 1M tokens |
| Per web search | 27,480 | IRR |
Under these conditions, these rates replace the ones above:
Prompts over 272K tokens
| Input | 1,099,213 | IRR / 1M tokens |
|---|---|---|
| Output | 4,946,457 | IRR / 1M tokens |
| Cache read | 109,921 | IRR / 1M tokens |
| Cache write, 5 minutes | 1,374,016 | IRR / 1M tokens |
With prompt caching, the fixed part of your prompt is billed at the cache-read rate on later requests.
What would this model cost you a month?
Monthly cost
108.82MIRR
3.63M IRR a day, 1,814 IRR each request
30 days at today’s rate.
Rial price over 90 days
It moves with the exchange rate; the steps are the maker’s own price changes. Built at today’s margin, so approximate if the margin changed in the window.
Performance, 30 days
Health is measured by IranRouter itself: a day counts as healthy unless requests to this model failed on our side or it could not be served. First token and speed come from IranRouter’s traffic, and from public market statistics for this model on days without enough of it.
Daily health50.00%
Time to first token8.21 s
Output speed133 tokens/s
Place in the market
By usage across the global model market.
Daily rank
Share of the day’s tokens
Capabilities
- Input
- FileImageText
- Output
- Text
Parameters it accepts
include_reasoningmax_completion_tokensmax_tokensreasoningreasoning_effortresponse_formatseedstructured_outputstool_choicetoolsverbosityOther benchmarks
Standard tests
- GPQA DiamondScore: 90%Tasks: 396
- τ-bench Verified AirlineScore: 70%Tasks: 100
Start in a minute
The official OpenAI and Anthropic SDKs; only the address and the key change.
# pip install openai from openai import OpenAI client = OpenAI( base_url="https://iranrouter.com/v1", api_key="ir-...", ) r = client.chat.completions.create( model="openai/gpt-5.6-luna-pro", messages=[{"role": "user", "content": "Hello, introduce yourself"}], ) print(r.choices[0].message.content)
Peer models
Its family and models with a close score; the last column compares one message’s cost with this model.
Technical specs
- ID
openai/gpt-5.6-luna-pro- Maker
- OpenAI
- Tokenizer
- GPT
- Knowledge up to
- February 2026
- Released
- Jul 9, 2026
- Added to IranRouter
- Aug 19, 2026
- Context
- 1,050,000 tokens
- Max output
- 128,000 tokens
as of Oct 31, 2026