GPT-5.6 Luna
Text Generation • OpenAIGPT-5.6 Luna is an OpenAI GPT-5.6 model optimized for cost-sensitive workloads, using the Responses API for efficient text generation.
| Model Info | |
|---|---|
| Context Window ↗ | 1,050,000 tokens |
| Terms and License | link ↗ |
| More information | link ↗ |
| Request formats | Responses |
| Pricing | View pricing in the Cloudflare dashboard ↗ |
Usage
const response = await env.AI.run( 'openai/gpt-5.6-luna', { input: 'Summarize the benefits of API rate limiting in three bullets.', max_output_tokens: 256, },)console.log(response)curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/responses \ --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \ --header "Content-Type: application/json" \ --data '{ "model": "openai/gpt-5.6-luna", "input": "Summarize the benefits of API rate limiting in three bullets.", "max_output_tokens": 256}'- **Protects system stability:** Prevents overload, reduces outages, and ensures predictable performance during traffic spikes. - **Ensures fair access:** Stops individual users or applications from consuming disproportionate resources. - **Improves security and cost control:** Helps mitigate abuse, brute-force attacks, and unexpected infrastructure usage.
{ "id": "resp_0e481f0cb46bf357016a4fe99bd5fc8194b6ce2049aa65ab08", "object": "response", "created_at": 1783622043, "status": "completed", "background": false, "billing": { "payer": "developer" }, "completed_at": 1783622044, "error": null, "frequency_penalty": 0, "incomplete_details": null, "instructions": null, "max_output_tokens": 256, "max_tool_calls": null, "model": "gpt-5.6-luna", "moderation": null, "output": [ { "id": "msg_0e481f0cb46bf357016a4fe99c2e288194a6fd0ce3f5f88786", "type": "message", "status": "completed", "content": [ { "type": "output_text", "annotations": [], "logprobs": [], "text": "- **Protects system stability:** Prevents overload, reduces outages, and ensures predictable performance during traffic spikes.\n- **Ensures fair access:** Stops individual users or applications from consuming disproportionate resources.\n- **Improves security and cost control:** Helps mitigate abuse, brute-force attacks, and unexpected infrastructure usage." } ], "phase": "final_answer", "role": "assistant" } ], "parallel_tool_calls": true, "presence_penalty": 0, "previous_response_id": null, "prompt_cache_key": null, "prompt_cache_retention": "in_memory", "reasoning": { "context": "all_turns", "effort": "medium", "mode": "standard", "summary": null }, "safety_identifier": null, "service_tier": "default", "store": false, "temperature": 1, "text": { "format": { "type": "text" }, "verbosity": "medium" }, "tool_choice": "auto", "tool_usage": { "image_gen": { "input_tokens": 0, "input_tokens_details": { "image_tokens": 0, "text_tokens": 0 }, "output_tokens": 0, "output_tokens_details": { "image_tokens": 0, "text_tokens": 0 }, "total_tokens": 0 }, "web_search": { "num_requests": 0 } }, "tools": [], "top_logprobs": 0, "top_p": 0.98, "truncation": "disabled", "usage": { "input_tokens": 19, "input_tokens_details": { "cache_write_tokens": 0, "cached_tokens": 0 }, "output_tokens": 66, "output_tokens_details": { "reasoning_tokens": 0 }, "total_tokens": 85 }, "user": null, "metadata": {}}Examples
Pull Request Description — Using instructions for a cost-sensitive drafting task
const response = await env.AI.run( 'openai/gpt-5.6-luna', { input: 'Write a brief pull request description for a bug fix that prevents duplicate webhook deliveries.', instructions: 'Keep it under 100 words.', max_output_tokens: 256, },)console.log(response)curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/responses \ --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \ --header "Content-Type: application/json" \ --data '{ "model": "openai/gpt-5.6-luna", "input": "Write a brief pull request description for a bug fix that prevents duplicate webhook deliveries.", "instructions": "Keep it under 100 words.", "max_output_tokens": 256}'## Summary Prevents duplicate webhook deliveries by ensuring each event is processed only once, even when retries or concurrent requests occur. ## Changes - Added idempotency checks for webhook events. - Prevented duplicate delivery attempts. - Added regression tests covering retries and concurrent processing. ## Testing All existing and new tests pass.
{ "id": "resp_0bed05adeda548a1016a4fe99d1e408194bb0375bad96ab71a", "object": "response", "created_at": 1783622045, "status": "completed", "background": false, "billing": { "payer": "developer" }, "completed_at": 1783622046, "error": null, "frequency_penalty": 0, "incomplete_details": null, "instructions": "Keep it under 100 words.", "max_output_tokens": 256, "max_tool_calls": null, "model": "gpt-5.6-luna", "moderation": null, "output": [ { "id": "msg_0bed05adeda548a1016a4fe99daa748194992854423ba08e72", "type": "message", "status": "completed", "content": [ { "type": "output_text", "annotations": [], "logprobs": [], "text": "## Summary\nPrevents duplicate webhook deliveries by ensuring each event is processed only once, even when retries or concurrent requests occur.\n\n## Changes\n- Added idempotency checks for webhook events.\n- Prevented duplicate delivery attempts.\n- Added regression tests covering retries and concurrent processing.\n\n## Testing\nAll existing and new tests pass." } ], "phase": "final_answer", "role": "assistant" } ], "parallel_tool_calls": true, "presence_penalty": 0, "previous_response_id": null, "prompt_cache_key": null, "prompt_cache_retention": "in_memory", "reasoning": { "context": "all_turns", "effort": "medium", "mode": "standard", "summary": null }, "safety_identifier": null, "service_tier": "default", "store": false, "temperature": 1, "text": { "format": { "type": "text" }, "verbosity": "medium" }, "tool_choice": "auto", "tool_usage": { "image_gen": { "input_tokens": 0, "input_tokens_details": { "image_tokens": 0, "text_tokens": 0 }, "output_tokens": 0, "output_tokens_details": { "image_tokens": 0, "text_tokens": 0 }, "total_tokens": 0 }, "web_search": { "num_requests": 0 } }, "tools": [], "top_logprobs": 0, "top_p": 0.98, "truncation": "disabled", "usage": { "input_tokens": 33, "input_tokens_details": { "cache_write_tokens": 0, "cached_tokens": 0 }, "output_tokens": 69, "output_tokens_details": { "reasoning_tokens": 0 }, "total_tokens": 102 }, "user": null, "metadata": {}}Parameters
▶input
one ofrequiredinstructions
stringtemperature
numberminimum: 0maximum: 2max_output_tokens
numberexclusiveMinimum: 0top_p
numberminimum: 0maximum: 1stream
boolean▶tools[]
arraytool_choice
▶text{}
object▶reasoning{}
objectid
stringobject
stringconst: responsecreated_at
numbermodel
string▶output[]
arrayoutput_text
stringstatus
stringenum: in_progress, completed, failed, incomplete▶usage{}
object