- Third-party
GPT-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