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  4. /gpt-5.6-luna
OpenAI
GPT 5.6 Luna
$ 
gpt-5.6-luna is the fastest and cheapest tier of OpenAI's GPT-5.6 family, built for cost-sensitive, high-volume workloads: classification, extraction, summarization, and user-facing chat. The gpt 5.6 luna api on GPTProto costs $0.80/$4.80 per 1M tokens — 20% under OpenAI's $1/$6 list price.

Modalities

Input: TextInput: ImageInput: Document
Output: Text

/

Context

API Usage Examples
$ 
curl --request POST "https://gptproto.com/v1/chat/completions" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "gpt-5.6-luna",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'
GPT 5.6 Luna pricing

Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 20% below official rates.

Your usage

OpenAI · ≈ 148M tokens/mo (48M cached)

OpenRouter
List + 5.5% credit fee
$33.08
per month
Input (non-cached)$6.752
Cache read$1.0128
Output$25.32
OpenAI
Direct from OpenAI (list price)
$31.36
per month
Input (non-cached)$6.4
Cache read$0.96
Output$24
BEST VALUE
GPTProto
20% off official
$25.09
per month
After discount$25.09
Effective$25.09
Monthly cost by source
OpenRouter
$33.08
OpenAI
$31.36
GPTProto
$25.09
Save $6.27 / month
on GPTProto vs OpenAI (−20%)
Annual savings ≈ $75.26 · pay as you go

OpenRouter costs include its ~5.5% credit purchase fee. GPTProto applies a per-model discount (10–30% off) and your bonus credits are also spent at discounted rates — savings compound. Estimates assume a 60% cache hit rate.

Related Models
All Models
GPT 5.6 Luna
Current
$ 
byOpenAI1.05M context$0.16/M input$0.96/M output
DeepSeek Flash
$ 
byDeepSeek$0.3/M input$1.2/M output
Hy4 Preview
$ 
byHunyuan1.05M context$0.7923/M input$2.376/M output
GPT 6 Astra
$ 
byOpenAI1.05M context$8/M input$40/M output
Gemini 3.8 Flash
$ 
byGoogle1.05M context$0.9/M input$4.5/M output
Claude Fable 5.1
$ 
byClaude1M context$9/M input$45/M output
Qwen3.8 Max 0902
$ 
byQwen1M context$1.8/M input$5.4/M output
GLM 5.3 Flash
$ 
byZ-AI1.31M context$0.15/M input$0.5/M output
DeepSeek v4 Flash Vision Exp
$ 
byDeepSeek1.05M context$0.3/M input$1.2/M output
GLM 5.3
$ 
byZ-AI1.31M context$1.26/M input$3.96/M output
Gemini 3.7 Flash
$ 
byGoogle1.05M context$0.9/M input$4.5/M output
Grok 4.6
$ 
byGrok500K context$1.2/M input$3.6/M output
Qwen3.8 Max
$ 
byQwen1M context$1.8/M input$5.4/M output
Claude Opus 5
$ 
byClaude1M context$4.5/M input$22.5/M output
Gemini 3.6 Flash
$ 
byGoogle1.05M context$0.9/M input$4.5/M output
Kimi K3
$ 
byMoonshotAI1.05M context$2.7/M input$13.5/M output
GPT 5.6 Terra
$ 
byOpenAI1.05M context$1.6/M input$9.6/M output
GPT 5.6 Sol
$ 
byOpenAI1.05M context$3.2/M input$16/M output
Grok 4.5
$ 
byGrok500K context$1.2/M input$3.6/M output
Claude Sonnet 5
$ 
byClaude1M context$1.8/M input$9/M output
Minimax M3
$ 
byMiniMax1.05M context$0.48/M input$0.96/M output
GLM 5.2
$ 
byZ-AI1.05M context$1.26/M input$3.96/M output
GPT 5.1 Chat Latest
$ 
byOpenAI$1/M input$8/M output
Qwen3.7 Max
$ 
byQwen1M context$0.36/M input$1.44/M output
DeepSeek v4 Flash
$ 
byDeepSeek1.05M context$0.3/M input$1.2/M output
Grok 4.3
$ 
byGrok1M context$0.75/M input$1.5/M output
GPT 5.4 Pro
$ 
byOpenAI1.05M context$24/M input$144/M output
GPT 5.5 Pro
$ 
byOpenAI1.05M context$24/M input$144/M output
Kimi K2.6
$ 
byMoonshotAI262K context$0.855/M input$3.6/M output
Minimax M2.5
$ 
byMiniMax205K context$0.24/M input$0.96/M output
Kimi K2.5
$ 
byMoonshotAI262K context$0.54/M input$2.7/M output
Doubao Seed 1.6 Thinking (Build 250715)
$ 
byBytedance262K context$0.0971/M input$0.9714/M output
Doubao Seed 1.6 Thinking (Build 250615)
$ 
byBytedance262K context$0.0971/M input$0.9714/M output
Doubao Seed 1.6 Flash (Build 250615)
$ 
byBytedance262K context$0.0182/M input$0.1821/M output
ModelInput → Output
GPT 5.6 LunaCurrent
$ 
1.05M$0.16 / $0.96 per 1M$0.20 / $0.02 per 1M
Input: TextInput: ImageInput: Document
Output: Text
DeepSeek Flash
$ 
——$0.30 / $1.20 per 1M— / $0.006 per 1M
Input: TextInput: Image
Output: Text
Hy4 Preview
$ 
1.05M$0.79 / $2.38 per 1M— / $0.04 per 1M
Input: Text
Output: Text
GPT 6 Astra
$ 
1.05M$8.00 / $40.00 per 1M$10.00 / $0.80 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Gemini 3.8 Flash
$ 
1.05M$0.90 / $4.50 per 1M$0.60 / $0.09 per 1M
Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio
Output: Text
Claude Fable 5.1
$ 
1M$9.00 / $45.00 per 1M$11.25 / $0.23 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Qwen3.8 Max 0902
$ 
1M$1.80 / $5.40 per 1M$2.25 / $0.23 per 1M
Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio
Output: Text
GLM 5.3 Flash
$ 
—1.31M$0.15 / $0.50 per 1M— / $0.03 per 1M
Input: TextInput: ImageInput: VideoInput: Document
Output: Text
DeepSeek v4 Flash Vision Exp
$ 
—1.05M$0.30 / $1.20 per 1M— / $0.006 per 1M
Input: TextInput: Image
Output: Text
GLM 5.3
$ 
1.31M$1.26 / $3.96 per 1M— / $0.23 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Gemini 3.7 Flash
$ 
1.05M$0.90 / $4.50 per 1M$0.60 / $0.09 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Grok 4.6
$ 
500K$1.20 / $3.60 per 1M— / $0.30 per 1M
Input: TextInput: Image
Output: Text
Qwen3.8 Max
$ 
1M$1.80 / $5.40 per 1M$2.25 / $0.23 per 1M
Input: TextInput: ImageInput: VideoInput: Document
Output: Text
Claude Opus 5
$ 
1M$4.50 / $22.50 per 1M$5.63 / $0.45 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Gemini 3.6 Flash
$ 
1.05M$0.90 / $4.50 per 1M$0.60 / $0.09 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Kimi K3
$ 
1.05M$2.70 / $13.50 per 1M$0.27 / $0.27 per 1M
Input: TextInput: ImageInput: Document
Output: Text
GPT 5.6 Terra
$ 
1.05M$1.60 / $9.60 per 1M$2.00 / $0.16 per 1M
Input: TextInput: ImageInput: Document
Output: Text
GPT 5.6 Sol
$ 
1.05M$3.20 / $16.00 per 1M$4.00 / $0.32 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Grok 4.5
$ 
500K$1.20 / $3.60 per 1M$0.30 / $0.30 per 1M
Input: TextInput: Image
Output: Text
Claude Sonnet 5
$ 
1M$1.80 / $9.00 per 1M$2.25 / $0.18 per 1M
Input: TextInput: Document
Output: Text
Minimax M3
$ 
1.05M$0.48 / $0.96 per 1M$0.10 / $0.10 per 1M
Input: TextInput: ImageInput: Document
Output: Text
GLM 5.2
$ 
1.05M$1.26 / $3.96 per 1M$0.23 / $0.23 per 1M
Input: TextInput: ImageInput: Document
Output: Text
GPT 5.1 Chat Latest
$ 
—$1.00 / $8.00 per 1M$0.10 / $0.10 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Qwen3.7 Max
$ 
1M$0.36 / $1.44 per 1M$0.07 / $0.07 per 1M
Input: TextInput: Document
Output: Text
DeepSeek v4 Flash
$ 
—1.05M$0.30 / $1.20 per 1M— / $0.006 per 1M
Input: Text
Output: Text
Grok 4.3
$ 
1M$0.75 / $1.50 per 1M$0.12 / $0.12 per 1M
Input: TextInput: Image
Output: Text
GPT 5.4 Pro
$ 
1.05M$24.00 / $144.00 per 1M—
Input: TextInput: ImageInput: Document
Output: Text
GPT 5.5 Pro
$ 
1.05M$24.00 / $144.00 per 1M—
Input: TextInput: ImageInput: Document
Output: Text
Kimi K2.6
$ 
262K$0.85 / $3.60 per 1M$0.14 / $0.14 per 1M
Input: TextInput: Document
Output: Text
Minimax M2.5
$ 
205K$0.24 / $0.96 per 1M$0.30 / $0.02 per 1M
Input: TextInput: Document
Output: Text
Kimi K2.5
$ 
262K$0.54 / $2.70 per 1M$0.09 / $0.09 per 1M
Input: TextInput: Document
Output: Text
Doubao Seed 1.6 Thinking (Build 250715)
$ 
262K$0.10 / $0.97 per 1M—
Input: TextInput: Image
Output: Text
Doubao Seed 1.6 Thinking (Build 250615)
$ 
262K$0.10 / $0.97 per 1M—
Input: TextInput: Image
Output: Text
Doubao Seed 1.6 Flash (Build 250615)
$ 
262K$0.02 / $0.18 per 1M—
Input: TextInput: Image
Output: Text

GPT 5.6 Luna API

The fastest, lowest-cost tier of OpenAI's GPT-5.6 family — built for classification, extraction, and chat at volume.

Same API, One-Line Escalation

Luna runs on the same endpoint and schema as Sol and Terra. Route bulk traffic through gpt-5.6-luna, then escalate hard requests to a stronger tier by changing one model string.

Lowest Cost in the GPT-5.6 Family

At $0.80/$4.80 per 1M tokens on GPTProto, gpt-5.6-luna is the cheapest way to run GPT-5.6 — one-fifth of Sol's rate. The 20% discount under OpenAI's list compounds fast at volume.

Strong for Its Price Class

gpt-5.6-luna corresponds to the nano tier of earlier GPT-5 generations, yet scores 84.7% on Terminal-Bench 2.1 and 62.7% on SWE-Bench Pro in OpenAI's published results — unusual capability at this price.

1M-Token Context Window

Luna shares the family's 1,050,000-token context and 128K output cap. OpenAI's own testing shows retrieval weakens at extreme depths on this tier — keep critical facts early in long prompts.

What Is GPT 5.6 Luna?

GPT 5.6 Luna is the smallest tier of OpenAI's GPT-5.6 family, released to general availability on July 9, 2026 alongside gpt-5.6-sol and gpt-5.6-terra. OpenAI designed it for cost-sensitive, high-volume workloads — the tier that roughly replaces the nano models of earlier GPT-5 generations. If you're asking what is gpt 5.6 luna api access good for, the short answer: any job where you process a lot of tokens and the task is easy to verify — classification, tagging, extraction, summarization, and first-line chat.

The openai gpt 5.6 luna api is available on GPTProto with the same model string and OpenAI-compatible schema, billed from one balance that also covers Sol, Terra, and 200+ other models.

Spec gpt-5.6-luna
Provider OpenAI
Modality Text & Image in / text out 
Context window 1,050,000 tokens 
Max output 128,000 tokens
Knowledge cutoff February 16, 2026
Reasoning effort none / low / medium / high / xhigh / max
Structured outputs Strict JSON schema mode
GPTProto price $0.80 input / $4.80 output per 1M tokens
Official price $1 input / $6 output per 1M tokens
Model string gpt-5.6-luna

What high-volume work costs on GPTProto ($0.80/$4.80 per 1M):

Workload Input Output GPTProto cost Official cost
1,000 document summaries 2M 300K $3.04 $3.80
Classification batch 10M 500K $10.40 $13.00
Chatbot, monthly 50M 10M $88.00 $110.00

Difference Between GPT 5.6 Luna and Sol

Luna and Sol are the two ends of the gpt 5.6 luna model family's cost-capability curve. The published numbers:

  gpt-5.6-luna gpt-5.6-sol
Tier Fastest, cheapest (nano-equivalent) Flagship
Terminal-Bench 2.1 84.7% 88.8% (91.9% with ultra)
SWE-Bench Pro 62.7% 64.6%
Artificial Analysis Intelligence Index 51 59
Artificial Analysis Coding Agent Index 74.6 80
Long-context behavior Degrades more sharply at depth (OpenAI testing) Strongest retrieval of the family
ultra multi-agent mode No Yes
Official price per 1M $1 / $6 $5 / $30
GPTProto price per 1M $0.80 / $4.80 $4 / $24

Honest read: Sol is roughly 4–8 points better across benchmarks at five times the price. That trade is worth it for long agent runs and tasks that are expensive to redo; it is rarely worth it for bulk classification or summarization. A common production pattern is routing: default to cheaper gpt 5.6 luna api calls, escalate to Sol when a request fails validation or exceeds a complexity threshold. For the middle option, see gpt-5.6-terra; the full three-tier table lives on the Sol page.

gpt 5.6 luma Common Questions

Find technical answers and integration tips for the gpt 5.6 luma creative model to help you build more empathetic applications.

How do I migrate to the gpt-5.6-luna api?

A: The API is OpenAI-compatible: point your base_url at GPTProto, use your GPTProto key, and set the model string to gpt-5.6-luna. Prompts, JSON schemas, and tool definitions carry over unchanged from any OpenAI-style client.

Does gpt 5.6 luna support multimodal inputs?

Yes, it natively supports image, audio, and video inputs. It is particularly strong at visual UI reasoning, meaning it can take a hand-drawn wireframe or a UI screenshot and help convert it into functional code like Tailwind or React. This makes it an invaluable tool for developers looking to bridge the gap between design mockups and front-end implementation.

What is the difference between gpt 5.6 luna and sol?

Luna is the cheapest, fastest tier ($0.80/$4.80 per 1M on GPTProto); Sol is the flagship ($4/$24). Sol leads benchmarks by 4–8 points; Luna wins on cost per task. See the comparison table above.

How is the gpt 5.6 luna api priced?

$0.80 per 1M input tokens and $4.80 per 1M output tokens — 20% off gpt 5.6 luna api access compared with OpenAI's $1/$6 list price. No platform fee; billing comes from a balance shared across 200+ models.

Is my data used to train the gpt 5.6 luma model?

No. All requests sent through GPTProto.com are protected by enterprise-grade data privacy agreements. Your data is excluded from OpenAI's training sets by default. This ensures that your proprietary creative work, unique brand instructions, and sensitive user interactions remain confidential and are never used to improve public model weights.

Is the gpt 5.6 luna api open source?

No — GPT-5.6 Luna is a proprietary OpenAI model with no open weights. GPTProto provides API access without an OpenAI account, which is what most "open source" searches for this model are actually after: fewer sign-up hurdles, not weights.

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Related Articles

Guides, comparisons, and updates related to this model.

All Articles
GPT-5.6 Sol vs Claude Fable 5: Cheaper Per Token, or Cheaper to Trust? (2026)

GPT-5.6 Sol vs Claude Fable 5: Cheaper Per Token, or Cheaper to Trust? (2026)

GPT-5.6 Sol undercuts Claude Fable 5 on every price axis — but METR flagged its reward-hacking. Which one you deploy in 2026 depends on who's watching.

MiniMax M3 for Coding: Benchmarks, Real Pricing, and How to Call It via API (2026)

MiniMax M3 for Coding: Benchmarks, Real Pricing, and How to Call It via API (2026)

Is MiniMax M3 good for coding? Independent benchmarks vs vendor claims, the real API cost with its 512K price cliff explained, and runnable GPTProto code.

Best Claude Alternatives in 2026: Cheaper API Access, Honestly Compared

Best Claude Alternatives in 2026: Cheaper API Access, Honestly Compared

Claude alternatives compared for developers: run the same Opus 4.8 and Sonnet 5 for ~20% less, or switch to DeepSeek, GLM, and Grok. 2026 API prices inside.

MiniMax M3 vs DeepSeek V4 Pro: Price, Benchmarks, and Which One to Actually Use

MiniMax M3 vs DeepSeek V4 Pro: Price, Benchmarks, and Which One to Actually Use

MiniMax M3 vs DeepSeek V4 Pro compared on price, benchmarks, and multimodality. Which Chinese open-weight model to actually use — and the SWE-bench trap most guides get wrong.

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With our flagship product GPT Proto, we offer a unified interface to access and combine APIs from the world's leading AI providers—spanning text, vision, speech, and beyond. We empower developers and enterprises to simplify integration and accelerate innovation without limits.

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To ensure enterprise-grade reliability and compliance, Talent Tech Global Limited operates specifically as our global Billing and Contracting Entity. Meanwhile, our core technical infrastructure and R&D teams are strategically distributed across global innovation hubs, including Silicon Valley, Singapore, and Hong Kong.

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We understand that stability is paramount. Our platform is built on a robust, decentralized architecture supporting dynamic Auto-scaling. Whether you are running a pilot or handling millions of concurrent requests, our system expands instantly to meet demand—guaranteeing that your business never outgrows our infrastructure.

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Features

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LLM

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Image

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  • Vidu Q2
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  • GPT Image 1.5
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Video

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