API Need50% off
Uptime
Total Context
1.05M
Max Output
128K
Input
$0.5/ 1M
Output
$3/ 1M
Cache Read
$0.05/ 1M
Cache Write
$0.625/ 1M
OOpenAI: GPT-5.6 Luna API
openai/gpt-5.6-luna
GPT-5.6 Luna API is the lowest-priced GPT-5.6 tier while retaining the family’s 1.05M context and file, image, and text inputs. It fits high-volume classification, extraction, and agent routing where unit economics lead the decision. [1]
GPT-5.6 Luna API ranks #12 in the current logic table with a 51.97 median score and a 242-second measured completion time. It trails GPT-5.6 Sol on benchmark quality but costs one fifth as much for official input and output tokens. [1][2]
MODALITIES
Price$0.5 / $3 / 1MCONTEXT1.05M
Playground
Test GPT-5.6 Luna API with representative production prompts before using gpt-5.6-luna in a live workflow.
Providers
APINEED lists GPT-5.6 Luna API with file, image, and text input, text output, and a 1.05M context window. APINEED routing and prepaid rates are identified separately. [1]
Discount
GPT-5.6 Luna minimizes token spend within GPT-5.6. APINEED reduces its already lower official rates by 50%, making repeated short outputs and broad first-pass processing its strongest economic fit. The table compares official GPT-5.6 Luna API pricing with the APINEED prepaid rate.
Official
Provider baselineInput $1/ 1MOutput $6/ 1M
BaselineAPINEED50% off
Prepaid creditsInput $0.5/ 1MOutput $3/ 1M
Availability
APINEED continuously monitors GPT-5.6 Luna API access and keeps requests on healthy capacity.
System statusLast 90 days
GPT-5.6 Luna API Benchmarks
At #12, GPT-5.6 Luna lands nine places below GPT-5.6 Sol but completes the benchmark faster and at a much lower listed token rate. That makes it a throughput-oriented option rather than a direct GPT-5.6 Sol substitute. The complete LLM2014 logic 2026-07 table remains below, with GPT-5.6 Luna API highlighted when a current row exists. [2]
| 1st | GPT-5.5 (xhigh) | 83.80 | 77.46 | 7.57% | 494s | 30,811 | $25.51 | $29.57 |
| 2nd | Kimi-K3 (max) | 82.91 | 74.80 | 9.78% | 1095s | 39,912 | $16.76 | $15.00 |
| 3rd | Claude Opus 4.8 (xhigh) | 82.62 | 66.70 | 19.27% | 791s | 41,833 | $28.86 | $24.64 |
| 4th | GPT-5.6 Sol (xhigh) | 81.94 | 72.99 | 10.92% | 369s | 17,433 | $14.43 | $29.57 |
| 5th | Claude Opus 5 (xhigh) | 78.38 | 71.88 | 8.29% | 426s | 26,392 | $18.21 | $24.64 |
| 6th | Qwen3.7-Max (xhigh) | 74.56 | 66.95 | 10.21% | 374s | 54,207 | $7.81 | $5.14 |
| 7th | GLM-5.2 (max) | 73.68 | 58.27 | 20.91% | 890s | 45,683 | $5.12 | $4.00 |
| 8th | Gemini 3.1 Pro (high) | 73.36 | 58.46 | 20.31% | 214s | 25,905 | $8.58 | $11.83 |
| 9th | GPT-5.6 Luna (xhigh) | 69.49 | 51.97 | 25.21% | 242s | 38,083 | $6.31 | $5.91 |
| 10th | DeepSeek V4 Pro (max) | 68.00 | 49.97 | 26.51% | 1468s | 60,558 | $1.45 | $0.86 |
| 11th | Grok 4.5 (high) | 67.59 | 56.72 | 16.08% | 451s | 43,372 | $7.18 | $5.91 |
| 12th | Muse Spark 1.1 | 66.18 | 57.23 | 13.52% | 542s | 42,416 | $4.98 | $4.19 |
| 13th | Gemini 3.5 Flash (high) | 65.92 | 60.39 | 8.39% | 188s | 36,372 | $9.03 | $8.87 |
| 14th | Doubao-Seed-2.1-pro (high) | 58.69 | 49.35 | 15.91% | 2003s | 85,059 | $10.21 | $4.29 |
| 15th | Qwen3.7-Plus (high) | 58.50 | 44.09 | 24.63% | 1237s | 57,152 | $1.83 | $1.14 |
| 16th | Gemini 3.6 Flash (high) | 56.87 | 41.74 | 26.6% | 206s | 26,329 | $5.45 | $7.39 |
| 17th | Tencent Hy3 (high) | 54.42 | 44.60 | 18.04% | 1035s | 52,037 | $0.83 | $0.57 |
| 18th | Claude Sonnet 5 (xhigh) | 51.37 | 43.14 | 16.02% | 529s | 44,118 | $12.18 | $9.86 |
| 19th | DeepSeek V4 Flash (max) | 50.62 | 36.24 | 28.41% | 611s | 49,593 | $0.40 | $0.29 |
| 20th | MiniMax-M3 | 49.18 | 40.94 | 16.75% | 985s | 56,467 | $1.90 | $1.20 |
| 21st | Claude Opus 5 | 42.08 | 31.73 | 24.6% | 154s | 10,180 | $7.02 | $24.64 |
| 22nd | Claude Opus 4.6 | 36.88 | 25.79 | 30.07% | 65s | 4,387 | $3.03 | $24.64 |
| 23rd | Doubao-Seed-2.0-lite 0428 (high) | 35.32 | 26.77 | 24.21% | 656s | 26,726 | $0.38 | $0.51 |
| 24th | Gemini 3.5 Flash (minimal) | 33.24 | 22.22 | 33.15% | 44s | 6,189 | $1.54 | $8.87 |
| 25th | Ling-3.0-flash | 32.53 | 20.62 | 36.61% | 688s | 86,204 | $0.00 | $0.00 |
| 26th | Gemini 3.5 Flash Lite (high) | 30.23 | 22.82 | 24.51% | 188s | 18,297 | $1.26 | $2.46 |
| 27th | GPT-5.5 Instant | 28.87 | 17.66 | 38.83% | 25s | 1,673 | $1.39 | $29.57 |
| 28th | Gemma 4 31B | 27.91 | 22.04 | 21.03% | 770s | 15,050 | $0.17 | $0.39 |
| 29th | MiMo-V2.5-Pro | 26.91 | 13.00 | 51.69% | 478s | 29,443 | $0.71 | $0.86 |
| 30th | Qwen3.7-Plus | 26.19 | 16.23 | 38.03% | 314s | 8,692 | $0.28 | $1.14 |
| 31st | Step-3.7-Flash | 26.18 | 13.74 | 47.52% | 258s | 44,912 | $1.46 | $1.16 |
| 32nd | Qwen3.5-27B | 24.96 | 17.98 | 27.96% | 451s | 26,391 | $0.51 | $0.69 |
| 33rd | Gemini 3.1 Flash Lite (high) | 23.78 | 14.30 | 39.87% | 82s | 28,351 | $1.17 | $1.48 |
| 34th | Claude Sonnet 5 | 23.64 | 10.86 | 54.06% | 109s | 5,962 | $1.65 | $9.86 |
| 35th | Qwen3.7-Max | 22.45 | 18.53 | 17.46% | 196s | 6,710 | $0.97 | $5.14 |
| 36th | ERNIE 5.1 | 20.49 | 15.49 | 24.4% | 457s | 24,093 | $1.73 | $2.57 |
| 37th | openPangu-2.0-Flash | 19.83 | 10.76 | 45.74% | 571s | 28,199 | $0.18 | $0.23 |
| 38th | LongCat-2.0 | 19.40 | 9.74 | 49.79% | 395s | 14,886 | $0.48 | $1.14 |
| 39th | DeepSeek V4 Flash | 19.39 | 13.37 | 31.05% | 63s | 5,286 | $0.04 | $0.29 |
| 40th | Mistral Medium 3.5 | 18.44 | 13.87 | 24.78% | 194s | 27,854 | $5.77 | $7.39 |
| 41st | Doubao-Seed-2.1-pro | 17.49 | 9.74 | 44.31% | 305s | 6,009 | $0.72 | $4.29 |
| 42nd | GLM-5.2 | 14.80 | 10.43 | 29.53% | 23s | 953 | $0.11 | $4.00 |
| 43rd | Ling-2.6-1T | 13.05 | 8.39 | 35.71% | 229s | 4,770 | $0.31 | $2.29 |
| 44th | iFLYTEK Spark X2 | 12.39 | 6.21 | 49.88% | 458s | 11,285 | $0.09 | $0.29 |
| 45th | Gemini 3.1 Flash Lite | 11.79 | 10.28 | 12.81% | 9s | 773 | $0.03 | $1.48 |
| 46th | Mistral Medium 3.5 | 10.83 | 7.13 | 34.16% | 17s | 2,546 | $0.53 | $7.39 |
| 47th | Ling-2.6-flash | 10.07 | 4.85 | 51.84% | 25s | 4,997 | $0.04 | $0.30 |
Quick Start
Connect GPT-5.6 Luna API without changing the OpenAI-style request shape. Route triage, summarization, extraction, and lower-risk agent steps to GPT-5.6 Luna, then escalate difficult cases to a higher tier. File and image inputs let that routing pattern cover more than plain text.
Get your API key
Create an APINEED key for GPT-5.6 Luna API and keep it in an environment variable.
export API_NEED_API_KEY=sk-apineed-v1-...Make your first request
Use gpt-5.6-luna for GPT-5.6 Luna API with the APINEED API. The request shape is compatible with OpenAI chat completions, so most SDKs only need a base URL change.
TypeScript SDKPythoncURLOpenAI SDK
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.API_NEED_API_KEY,
baseURL: "https://apineed.com/v1"
});
const result = await client.chat.completions.create({
model: "openai/gpt-5.6-luna",
messages: [
{ role: "user", content: "Why is the sky blue?" }
]
});
console.log(result.choices[0].message.content);Enable streaming and fallbacks
Add stream: true when GPT-5.6 Luna API should return server-sent events. APINEED keeps routing, provider health, and fallback handling behind the same endpoint.
curl https://apineed.com/v1/chat/completions \
-H "Authorization: Bearer $API_NEED_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-5.6-luna",
"stream": true,
"messages": [{ "role": "user", "content": "Hello" }]
}'GPT-5.6 Luna API Endpoint
GPT-5.6 Luna API accepts chat conversations here with streaming or non-streaming text output; the supported controls are listed on this page.
POST
/v1/chat/completions- Authorization
- Bearer $API_NEED_API_KEY
- Content-Type
- application/json
- HTTP-Referer
- optional - your site URL, for rankings
- X-Title
- optional - your site name, for rankings
- Model
- openai/gpt-5.6-luna
Parameters
GPT-5.6 Luna API parameters currently listed for openai/gpt-5.6-luna by the OpenRouter Models API. [1]
| Name | Type | Status | Description |
|---|---|---|---|
include_reasoning | boolean | Supported | Includes reasoning content in the response when available. |
max_completion_tokens | integer | Supported | Limits the combined visible and reasoning output tokens. |
max_tokens | integer | Supported | Limits generated output tokens. |
reasoning | object | Supported | Controls reasoning behavior and token allocation. |
reasoning_effort | enum | Supported | Selects the model reasoning effort. |
response_format | object | Supported | Requests a specific response format. |
seed | integer | Supported | Requests deterministic sampling when supported by the provider. |
structured_outputs | boolean | Supported | Enables schema-constrained structured output. |
tool_choice | string or object | Supported | Controls which tool the model may call. |
tools | array | Supported | Defines tools available to the model. |
GPT-5.6 Luna API Q&A
Model-specific answers for teams comparing GPT-5.6 Luna API on capability, benchmark evidence, integration, and cost.
Why choose GPT-5.6 Luna API?
GPT-5.6 Luna preserves the GPT-5.6 input modalities and 1.05M context while carrying the family’s lowest official input and output prices.
How far behind GPT-5.6 Sol is GPT-5.6 Luna API in the benchmark?
In the July 2026 logic table, GPT-5.6 Luna ranks #12 with a 51.97 median; GPT-5.6 Sol ranks #3 with a 72.99 median.
What workloads fit GPT-5.6 Luna API’s price profile?
High-volume extraction, routing, summarization, and first-pass analysis benefit most when many tokens matter more than top-tier benchmark rank.
Can I use GPT-5.6 Luna and GPT-5.6 Sol behind one integration?
For GPT-5.6 Luna API, yes. Both use the same APINEED chat endpoint and OpenAI-compatible request shape; change the model value to test or route between tiers.
Which endpoint serves GPT-5.6 Luna API?
Call GPT-5.6 Luna API through https://apineed.com/v1/chat/completions with gpt-5.6-luna as the model value. Existing OpenAI SDK clients usually need only the APINEED base URL and key.
How do I validate GPT-5.6 Luna API before release?
Evaluate GPT-5.6 Luna API on representative prompts, record quality, latency, and token use, then choose reasoning settings and fallbacks from those results.
How to Deploy the GPT-5.6 Luna API on apineed.com
Deploy GPT-5.6 Luna API through APINEED after validating its model-specific trade-offs above. The API key, credit, and endpoint flow stays consistent across the catalog.
Add credits for GPT-5.6 Luna API
Add credits on APINEED before deploying the GPT-5.6 Luna API. Pay-as-you-go billing lets usage start small and scale with production traffic.
Get your API key
Create an APINEED API key for the GPT-5.6 Luna API. The same key can call GPT-5.6 Luna and other AI APIs through apineed.com.
Set the model slug
Use gpt-5.6-luna as the model value when you deploy the GPT-5.6 Luna API. Keep the APINEED base URL at https://apineed.com/v1.
Send a request to GPT-5.6 Luna API
Send chat completions or responses to the GPT-5.6 Luna API from Claude Code, Codex, or any custom agent. The request keeps its OpenAI-compatible shape.