AI Model Profile

GPT-5.6 Luna

GPT-5.6 Luna is the cost-optimised tier of the GPT-5.6 family, retaining the full 1,050,000-token context window and reasoning-token support.

Before you buy

Best for: Cost-sensitive workloads that still need a very large context window and reasoning support.

Price: USD API: US$0.20 input / US$1.20 output per 1M tokens

Included: GPT-5.6 Luna is the cost-optimised tier of the GPT-5.6 family, retaining the full 1,050,000-token context window and reasoning-token support.

Main limits: Reasoning tier is high rather than highest. Output is text only. Standard list rates; cache writes, tools, long-context premiums, regional processing and other service tiers can change the bill.

What Kingy showed: Related coverage: Best AI Model API in 2026: A Use-Case and Routing Guide. This review does not treat that article as a new test of this exact model, plan or current release.

Buying details checked 2026-10-23 with region and currency stated above. Historical demonstrations and the broader fact ledger keep their own dates.

Check official plans · See the demonstration and disclosure · Compare these workflows

Family
GPT-5
Release date
Unknown
Status
Current
Context window
1,050,000 tokens
Output limit
128,000 tokens
API
yes
Open weights
no
Local/self-hosted
no
Pricing
OpenAI API pricing checked September 21, 2026: Standard requests with up to 272K input tokens cost $0.20 per million input tokens, $0.02 cached input and $1.20 output. Batch input/cached input/output: $0.10/$0.01/$0.60. Longer prompts, cache writes, processing tier and eligible regional processing affect the charge.
Evidence state
Recheck due

Benchmark Caveat

Benchmarks and provider capability notes are directional, not universal rankings. Results can shift with prompts, tool use, latency targets, pricing tier, safety filters, context length, and the workload mix a real team runs.

See the linked official model, docs, model-card, or pricing source for provider-published capability notes.

Best for

Cost-sensitive workloads that still need a very large context window and reasoning support.

Skip if

Skip if the workload needs the highest reasoning tier available in the family.

Strengths

OpenAI lists Luna with the same 1,050,000-token context window and 128,000 max output tokens as Sol and Terra, at the lowest price in the family, with a high reasoning tier, reasoning-token support, text and image input, and supported function calling.

Weaknesses

Reasoning tier is high rather than highest. Output is text only.

Agent suitability

Useful for agent workflows when the provider supports tool use, long context, structured outputs, or workflow-specific APIs.

Kingy AI take

Use this as a source-backed shortlist candidate, not a universal ranking. Re-check official provider docs and run a task-specific trial before production adoption.

Kingy AI Product Facts

GPT-5.6 Luna

Current statusUnknown

Company
Not yet reviewed
Primary job
Not yet reviewed
Audience
Not yet reviewed
Evidence
Source-backed; coverage expanding
Latest source check
October 29, 2026
See all tracked product factsPricing, platforms, dependencies, data claims, regions, and timeline

Sources and checks

Coverage
4 of 88 tracked fields currently verified
Sources
1

Source-check dates apply to the tracked facts. Editorial updates elsewhere on this page may have a different date.

Plans and pricing units

Not yet structured in this Kingy record.

Where it runs

Availability
Not yet reviewed

Stack and integrations

Model / provider dependencies
Not yet reviewed
Integrations
Not yet reviewed

Data and regions

Vendor data-use claim
Not yet reviewed
Vendor retention claim
Not yet reviewed
Regions
Not yet reviewed

Launch and latest material update

Launch
Not yet reviewed
Latest material update
Not yet reviewed
Technical evidence and revision history
Embed “Facts tracked by Kingy”

This label is not a security certification, audit, or product endorsement. It reports the facts Kingy currently supports and when they were last checked.

Full Model Notes

Who should consider it

Cost-sensitive workloads that still need a very large context window and reasoning support. GPT-5.6 Luna is the cost-optimised tier of the GPT-5.6 family, retaining the full 1,050,000-token context window and reasoning-token support.

Plan, price and billing scope

USD API: US$0.20 input / US$1.20 output per 1M tokens. GPT-5.6 Luna is the cost-optimised tier of the GPT-5.6 family, retaining the full 1,050,000-token context window and reasoning-token support. Prices use the currency and billing term stated here. Where a numeric rate, region or current entitlement could not be verified, it remains explicit; no checkout was completed.

Limits that affect the decision

Reasoning tier is high rather than highest. Output is text only. Standard list rates; cache writes, tools, long-context premiums, regional processing and other service tiers can change the bill.

What the existing evidence shows

Related coverage: Best AI Model API in 2026: A Use-Case and Routing Guide. This review does not treat that article as a new test of this exact model, plan or current release. Related workflow reading; not a demonstration of this exact product. Read the related article.

Sources and buying-review date

Buying review completed October 23, 2026. This is a source-based buying assessment. No paid product test, new generation, checkout or performance benchmark was performed. Vendor descriptions and historical examples remain distinct from independently measured results. The date does not renew the broader canonical fact ledger.

Check the official offer · Compare related options

Earlier profile, sources and dates

This older record retains its original scope. Current buying qualifications above take precedence where terms have changed.

Coding notes

Use official docs and live evals before selecting this model for production coding workflows.

Reasoning notes

Provider capability notes are useful but should be validated on representative prompts and tools.

Creative notes

Use a small creative test set before standardizing outputs for brand, media, or customer-facing work.

Research notes

Track release notes and model lifecycle notices because availability and aliases can change.

API pricing notes

Pricing rechecked September 21, 2026. Amounts use the dollar notation displayed in OpenAI’s official API pricing table, per million tokens. For up to 272K input tokens, rates in input / cached input / cache write / output order are: Standard $0.20 / $0.02 / $0.25 / $1.20; Batch and Flex $0.10 / $0.01 / $0.125 / $0.60; Fast $0.40 / $0.04 / $0.50 / $2.40. Above 272K input tokens, the full request uses 2× these input, cached-input and cache-write rates and 1.5× the output rate. Fast replaces Priority processing. Eligible regional-processing endpoints add 10%; tool charges may be additional. These are API token rates, not ChatGPT or Codex subscription allowances. No paid API call or billing test was performed.

License notes

Commercial/API terms apply unless the linked official source states otherwise.

Hardware requirements

Cloud/API model; local hardware requirements are not published as a self-hosted path.

Kingy coverage

Kingy AI articles that cover GPT-5.6 Luna, newest first.

  1. BlogGPT-5.6 Sol vs Terra vs Luna: Benchmarks, Price & Best Uses