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.
- 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
- $1.00 per million input tokens, $0.10 cached input, $6.00 per million output tokens. Batch API: $0.50 input, $0.05 cached, $3.00 output.
- 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.
Verification & Sources
- Evidence state
- Recheck due
- Source links
- 2
- Freshness
- Needs recheck: checked July 25, 2026
- Last updated
- July 25, 2026
What this evidence state means
- Definition
- The claim was previously checked, but its review window expired or a material change may have invalidated it.
- Required provenance
- The prior evidence and check date are retained, together with the expiry or change signal that triggered recheck.
- Owner
- Kingy freshness queue owner and assigned editorial reviewer
- Freshness rule
- This is already outside its freshness rule. It must not be presented as current until reviewed against current evidence.
- Disputes and corrections
- Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.
Key source checks
Suggest a correction
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
Check the official pricing page before budget decisions; Kingy does not freeze token, credit, or subscription prices in model cards.
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.
Official Model Links
Model Intelligence Research Map
Use these internal paths to move from this model profile into provider pages, static comparison pages, related Kingy records, and the broader AI launch graph. These are research paths, not rankings.