GPT-6 Luna API model profile

Profile facts

Profile type

Kendr API model

Kendr API alias

kc-gpt-6-luna

Model developer

OpenAI

Kendr route provider

OpenAI

Context window

1.05M

Snapshot date

2026-10-13

Knowledge cutoff

Not disclosed

Reference catalog ID

openai/gpt-6-luna

When to pick GPT-6 Luna

GPT-6 Luna is worth reaching for when you need a route priced in the cheapest quarter of the catalog, scoring in the top quarter on the published intelligence index and carrying one of the widest context windows in the catalog. The conditions below are the ones its own numbers support.

Each condition below is derived from this model's own values in the 2026-10-13 snapshot, compared only against models publishing the same field.

• Reach for it when cost is the binding constraint. At $0.05 in and $0.25 out per 1M tokens, combined token price sits in the cheapest quarter of the 149 models publishing both rates in this snapshot.
• Reach for it when a whole corpus has to fit in one prompt. The 1.05M-token context window is in the top quarter of the 167 models publishing a limit here, so long documents can go in whole rather than chunked.
• Reach for it when answer quality matters more than unit cost. It scores 38.1 on the Artificial Analysis intelligence index, above three quarters of the 119 models carrying that field in the 2026-10-13 snapshot.
• Reach for it when the input includes images. The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described.

Context, modalities, and identity

GPT-6 Luna accepts file, image, and text and returns text. The snapshot records coding, file input, prompt caching, reasoning, reasoning controls, structured output, text generation, tool calling, tools, vision, web search, and web search pricing as capabilities or interfaces.

Model developer

OpenAI

Kendr route provider

OpenAI

Context window

1.05M

Maximum output

128,000 tokens

Input modalities

file, image, and text

Output modalities

text

Knowledge cutoff

Not disclosed

Model overview

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

Reference model ID

openai/gpt-6-luna

Canonical version

openai/gpt-6-luna-20260922

Hugging Face ID

Not separately documented

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters

include_reasoning, max_completion_tokens, max_tokens, reasoning, reasoning_effort, response_format, seed, structured_outputs, tool_choice, tools, verbosity

• coding
• file input
• prompt caching
• reasoning
• reasoning controls
• structured output
• text generation
• tool calling
• tools
• vision
• web search
• web search pricing

Dated pricing snapshot

The dated reference snapshot lists $0.05 input and $0.25 output per million tokens. Cached input is $0.005 per million tokens. The separately published provider-route reference is $0.10 / $0.50 (Standard global inference, ≤272K input; live route quote applies).

Reference figures are dated 2026-10-13; the live Kendr quote can differ by selected provider route, context tier, caching, tools, region, and current rate card.

Price date

2026-10-13

Input

$0.05 per 1M tokens

Cached input

$0.005 per 1M tokens

Output

$0.25 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 7 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints

7

Best p50 latency

0.77 s

Best p50 throughput

101 tok/s

Availability with routing

99.73% over the sampled window

Availability without routing

97.06% over the sampled window

Performance date

2026-10-13

Benchmark evidence and limitations

The 2026-10-13 snapshot includes 1 Artificial Analysis index and AutoExacto results for 6 provider observations. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Intelligence Index

38.1

AutoExacto coverage

6 provider observations over 32 days

AutoExacto provider benchmarks

Rolling provider observations from the cited third-party benchmark view. The lookback is 32 days; GPQA Diamond and TAU-Bench Airline measure different abilities and should not be blended into one score.

Popularity and market context

GPT-6 Luna ranked #7 in the cited trailing-7-day third-party catalog usage dataset as of 2026-10-13. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Third-party catalog rank

#7

Global market share

Not inferred

Observation date

2026-10-13

OpenAI-compatible API example

This example applies to the published Kendr alias on this hosted profile. Check the live public catalog before use.

curl https://api.kendr.org/v1/chat/completions \
  -H "Authorization: Bearer $KENDR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"kc-gpt-6-luna","messages":[{"role":"user","content":"Hello"}]}'

Frequently asked questions

Sources and evidence dates

1. GPT-6 Luna third-party catalog record (catalog, checked 2026-10-13)
2. Third-party model catalog methodology (methodology, checked 2026-10-13)
3. OpenAI official model documentation (primary, checked 2026-10-13)
4. Artificial Analysis capability indices methodology (benchmark, checked 2026-10-13)
5. GPT-6 Luna third-party catalog record (benchmark, checked 2026-10-13)
6. GPT-6 Luna provider or route reference (primary, checked 2026-10-13)