GPT-5.6 Luna
by OpenAIopenai/gpt-5.6-luna
LLMCompare cannot run GPT-5.6 Luna yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowGPT-5.6 Luna at a glance
- Context length
- 1,050,000 tokens
- Maximum output
- 128,000 tokens
- Accepts
- Text, Image, File
- Returns
- Text
- Features
- ReasoningJSON outputTool callingPrompt cachingImage input
- Reasoning effort levels
maxxhighhighmediumlownoneReasoning can be turned off.- Released
- 9 Jul 2026
- Knowledge cutoff
- 16 February 2026
Model facts synced from the OpenRouter model list on 21 Oct 2026.
GPT-5.6 Luna pricing by route
A route is the service LLMCompare calls to reach the model. GPT-5.6 Luna has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Cache writeper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $0.20 | $1.20 | $0.02 | $0.25 | openrouter.ai/openai/gpt-5.6-luna |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to GPT-5.6 Luna costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
Billed in addition to the output tokens.
- Cost per call
- $0.0008
- 1 credits
- Cost of 100 calls
- $0.08
- 100 credits
Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
max_tokens | Integer | 1 to 128,000 | Provider default |
reasoning_effort | One of | maxxhighhighmediumlownone | medium |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
response_format | One of | textjson_object | Provider default |
About GPT-5.6 Luna
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
Description as published for this model. LLMCompare has not edited it.
Models to compare with GPT-5.6 Luna
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
GPT-5.6 Luna ProOpenAIopenai/gpt-5.6-luna-pro | 1.05M | 128k | $0.20 | $1.20 | ReasoningJSONToolsCacheVision | No route yet | ||
GPT-5.4 NanoOpenAIopenai/gpt-5.4-nano | 400k | 128k | $0.20 | $1.25 | ReasoningJSONToolsCacheVision | No route yet | ||
GPT-4.1 MiniOpenAIopenai/gpt-4.1-mini | 1.05M | 32.8k | $0.40 | $1.60 | JSONToolsCacheVision | No route yet | ||
Qwen3.8 27BQwenqwen/qwen3.8-27b | 1M | 65.5k | $0.04 | $1.35 | ReasoningJSONToolsCacheVision | No route yet | ||
DeepSeek V3 0324DeepSeekdeepseek/deepseek-chat-v3-0324 | 164k | 115k | $0.29 | $1.14 | JSONToolsCache | No route yet | ||
Step 3.7 FlashStepFunstepfun/step-3.7-flash | 262k | 230k | $0.20 | $1.15 | ReasoningJSONToolsCacheVision | No route yet |
Questions about GPT-5.6 Luna
- How much does GPT-5.6 Luna cost?
- On the OpenRouter route, GPT-5.6 Luna costs $0.20 per 1 million input tokens and $1.20 per 1 million output tokens, in US dollars. Input tokens that GPT-5.6 Luna reads from the prompt cache cost $0.02 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of GPT-5.6 Luna?
- GPT-5.6 Luna has a context length of 1,050,000 tokens and returns up to 128,000 output tokens in one call.
- What inputs does GPT-5.6 Luna accept?
- GPT-5.6 Luna accepts these inputs: Text, Image, File. GPT-5.6 Luna returns: Text.
- Which reasoning effort levels does GPT-5.6 Luna support?
- GPT-5.6 Luna supports these reasoning effort levels: max, xhigh, high, medium, low, none. Reasoning can be turned off for GPT-5.6 Luna.
- Can I test GPT-5.6 Luna on my own data?
- Not yet. LLMCompare lists the prices and parameters of GPT-5.6 Luna, but no route to GPT-5.6 Luna is configured on LLMCompare, so it cannot be selected for an evaluation.