GPT-5.6 Luna API Pricing Calculator & Benchmarks

Track gpt-5.6-luna pricing with real-time alerts, compare providers, and monitor cost changes across high-volume, cost-efficient AI workloads at scale.

Released 9 July 2026, GPT-5.6 Luna is a chat model from OpenAI. It pairs a 1,050,000-token context window with up to 128,000 tokens of output, accepting text, image and file and returning text. Training data ends 16 February 2026, and the model reasons step by step. It costs between $0.10 and $0.80 per million input tokens. GPT-5.6 Luna is the successor to GPT-5 Nano, GPT-4.1 Nano and GPT-4.1 Nano 2025-04-14.

Last updated Oct 27, 2026

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Model Details

Released
Jul 9, 2026
Knowledge Cutoff
Feb 16, 2026
Context Length
1,050,000
Max Output
128,000
Modalities
Text Image File → Text
Capabilities
Tool use Structured outputs Prompt caching Code execution

Where is GPT-5.6 Luna a perfect fit?

GPT-5.6 Luna is OpenAI’s most cost-efficient GPT-5.6 model, roughly corresponding to the nano tier of earlier GPT-5 families. It targets high-volume workloads where throughput and economics matter more than maximum model capability.
- High-volume production applications processing large request volumes
- Classification, extraction, routing, summarization, and transformation
- Cost-sensitive coding and software-development workflows
- Agentic workflows involving function calling and external tools
- Web search, file search, and code-interpreter applications
- Computer-use and workflow-automation agents
- Long-context processing where inexpensive token consumption is important
- Subtasks that can be delegated from more capable Sol or Terra agents

Quick Model Estimate

(USD 0.2000 per 1M tokens)
(USD 1.2000 per 1M tokens)

Your GPT-5.6 Luna Cost Estimate

πŸ’° Total Cost

β€”

for 1000 input + 1000 output tokens

πŸ“₯ Input (1000 Γ— $0.200000) β€”
πŸ“€ Output (1000 Γ— $1.200000) β€”

Cost Breakdown

πŸ“₯ Input πŸ“€ Output

Prices are watched for changes and checked against the provider's own page.

Pricing

Provider ↕
Modality ↕
Service Tier ↕
Input Price
(per 1M tokens)
↕
Output Price
(per 1M tokens)
↕
Cached Input
(per 1M tokens)
↕
Cached Output
(per 1M tokens)
↕
Context Size ↕
View
OpenAI LogoOpenAITextStandard$0.2000$1.2000$0.0200$0.2500Up to 272,000 tokens→
OpenAI LogoOpenAITextStandard$0.4000$1.8000$0.0400$0.5000272,000+ tokens→
OpenAI LogoOpenAITextBatch$0.1000$0.6000$0.0100$0.1250Up to 272,000 tokens→
OpenAI LogoOpenAITextBatch$0.2000$0.9000$0.0200$0.2500272,000+ tokens→
OpenAI LogoOpenAITextFlex$0.1000$0.6000$0.0100$0.1250Up to 272,000 tokens→
OpenAI LogoOpenAITextFlex$0.2000$0.9000$0.0200$0.2500272,000+ tokens→
OpenAI LogoOpenAITextPriority$0.4000$2.4000$0.0400$0.5000Up to 272,000 tokens→
OpenAI LogoOpenAITextPriority$0.8000$3.6000$0.0800$1.0000272,000+ tokens→
Perplexity LogoPerplexityTextStandard$0.2000$1.2000$0.0200N/AUp to 272,000 tokens→
Perplexity LogoPerplexityTextStandard$0.4000$1.8000$0.0400N/A272,000+ tokens→

Price changes

Every recorded change to GPT-5.6 Luna’s price, most recent first. Changes across all models are on the changes page.

  1. OpenAI cut the price of GPT-5.6 Luna, effective 30 July 2026.

    Input $1.00 → $0.20 per 1M tokens (-80%), and 3 other price fields. 7 configurations changed.

    Per-configuration detail on OpenAI →
  2. Perplexity cut the price of GPT-5.6 Luna, effective 30 July 2026.

    Input $1.00 → $0.20 per 1M tokens (-80%), and 2 other price fields. 2 configurations changed.

    Per-configuration detail on Perplexity →

Benchmarks

Scores from standardized evaluations by Artificial Analysis and Design Arena. Higher is better β€” the indices summarize overall ability, while the detailed scores break down performance on individual benchmarks.

Artificial Analysis

Higher is better Β· benchmarked by Artificial Analysis
Index scores by variant
Detailed scores
37.3
Intelligence Index
Overall intelligence across reasoning, knowledge & math evals
Better than 45% of 32 models
71.4
Coding Index
Coding ability across software-engineering evals
Better than 47% of 16 models
42.1
Agentic Index
Tool use & multi-step agent task performance
Better than 42% of 13 models
Reasoning
GPQA Diamond 91.1%

Graduate-level questions in biology, chemistry & physics

Humanity's Last Exam 39.5%

Expert-level questions across many academic domains

CritPt 20.6%

Unpublished physics research reasoning problems

AA-LCR 83.7%

Long-context reasoning across large inputs

Coding
SciCode 53.6%

Research-level scientific coding tasks

Knowledge
GDPval 48%

Economically valuable, real-world knowledge work

Omniscience Accuracy 42.7%

Breadth of factual knowledge across domains

Omniscience Non-Hallucination 7.4%

How reliably the model avoids fabricated answers

All variants
Variant GPQA Diamond Humanity's Last Exam AA-LCR SciCode CritPt GDPval Omniscience Accuracy Omniscience Non-Hallucination
GPT-5.6 Luna (Max) 91.1% 39.5% 83.7% 53.6% 20.6% 48% 42.7% 7.4%
GPT-5.6 Luna (Xhigh) 89.5% 37% 81.7% 50.5% 20.6% 45% 42.4% 7.5%
GPT-5.6 Luna (High) 89.2% 33.4% 80.3% 51.6% 16.6% 41.6% 41.8% 7.6%
GPT-5.6 Luna (Medium) 85.9% 25.8% 75% 46.8% 4.9% 31.5% 40.7% 9.1%
GPT-5.6 Luna (Low) 83.5% 19.8% 70% 46.1% 2.6% 24.7% 39.6% 10.1%
GPT-5.6 Luna (Non-reasoning) 64.5% 7.2% 42.7% 40.4% 0.3% 21% 28.6% 25%

FAQs about GPT-5.6 Luna

How much does GPT-5.6 Luna cost per 1M tokens?

GPT-5.6 Luna costs between $0.10 and $0.80 per million input tokens, and between $0.60 and $3.60 per million output tokens. The range covers Standard, Batch, Flex and Priority pricing.

What does a typical workload cost with GPT-5.6 Luna?

1,000 requests of 2,000 input and 500 output tokens each β€” 2,000,000 input and 500,000 output tokens in total β€” costs $0.50 with GPT-5.6 Luna at its lowest rates. Use the calculator on this page for your own volumes.

Has GPT-5.6 Luna's price changed?

Yes, once: OpenAI and Perplexity both cut it on 30 July 2026. OpenAI's input price went from $1.00 to $0.20 per million tokens.

Which provider is cheapest for GPT-5.6 Luna?

OpenAI has the lowest input rate for GPT-5.6 Luna, at $0.10 per million tokens. Across all providers: OpenAI from $0.10 and Perplexity from $0.20 per million input tokens.

Is there cheaper GPT-5.6 Luna pricing than the standard rate?

Yes. Batch pricing for GPT-5.6 Luna starts at $0.10 per million input tokens against $0.20 on the standard tier, about 50% lower.

What is GPT-5.6 Luna's context window?

GPT-5.6 Luna has a context window of 1,050,000 tokens, and returns up to 128,000 tokens in a single response.

What input types does GPT-5.6 Luna support?

GPT-5.6 Luna accepts text, image and file input, and returns text.

What is GPT-5.6 Luna's knowledge cutoff?

GPT-5.6 Luna's training data runs to 16 February 2026. It has no built-in knowledge of events after that date.