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Model details

GPT-6 Luna

GPT-6 Luna is a lower-tier member of OpenAI's GPT-6 family, released on September 22, 2026 alongside GPT-6 Sol as part of an expanded lineup that sits beneath the flagship GPT-6 Astra. Reporting describes Luna as a mid-priced, cost- and speed-optimized variant sharing the same underlying training approach as the flagship, but tuned for common enterprise tasks that demand less raw capability than Astra delivers. This positions Luna as a pragmatic choice for teams that want GPT-6-era improvements without paying flagship rates.

The defining advantage of GPT-6 Luna is economic efficiency paired with measurable capability gains. OpenAI cut API pricing to roughly half or less of the GPT-5.6 generation, made possible by inference and caching improvements that simultaneously raised performance. Independent coverage highlights gains in coding and workflow automation versus its predecessor, recommending Luna for high-volume routine work where reliability and cost per task matter more than frontier intelligence. While Luna trails Sol on factual reliability, it offers a compelling balance for sustained, production-scale workloads.

Azure Cognitive Servicesgpt-6-lunagpt-luna

Quick Info

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Provider
Azure Cognitive Services
Model key
gpt-6-luna
Release date
Sep 22, 2026
Last updated
Sep 22, 2026
Knowledge cutoff
2026-05-18
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.10
Output token cost
$0.50

Limits

Input tokens
922,000 tokens
Output tokens
128,000 tokens
Context window
1,050,000 tokens

Transparent token rates

Compare GPT-6 Luna pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about GPT-6 Luna

OpenRouter

Official sourceAnnouncement

OpenAI announced GPT-6 Luna alongside GPT-6 Sol as part of the GPT-6 family expansion following GPT-6 Astra, positioning Luna and Sol as faster, more affordable models trained with similar methods to Astra. Luna is priced at $0.10 per million input tokens and $0.50 per million output tokens, a 50% reduction from GPT-5. The page frames GPT-6 Luna as bringing Astra's advances in factuality, coding, computer use, and alignment to higher-volume, lower-cost use cases, and notes that caching and inference improvements let OpenAI serve these models at lower cost. At high effort, GPT-6 Luna improves over GPT-5.6 Luna, helping distribute fron

Cortecs

CoverageBenchmark

Analytics Vidhya's coverage of the September 22, 2026 launch frames GPT-6 Luna (and its sibling Sol) as cheaper, faster variants built using methods similar to GPT-6 Astra, cutting API prices by 50% versus the GPT-5.6 counterparts. The article positions Luna within OpenAI's more affordable tiers while bringing Astra-er The piece explicitly groups Luna under OpenAI's price-cutting strategy with Sol, and previews coverage of features such as lower API prices, better caching for agents, fewer factual errors, and a clearer collaboration style. It sets up benchmark analysis and four hands-on tests as the article's substantive payload, sit

Requesty

CoverageBenchmark

The llm-stats.com model page for GPT-6 Luna aggregates benchmark and pricing data sourced to OpenAI's September 22, 2026 launch. Reported evaluation results include a DeepSWE 1.1 score of 0.67/1 (rank 18, cost $0.22 per task), an OSWorld 2.0 score of 0.53/1 (rank 9, cost $0.27 per task), and an Agents' Last Exam score Methodology notes indicate these evaluations used OpenAI research environments or the API and may differ from production ChatGPT behavior. The page explicitly attributes the benchmark data to OpenAI's September 22, 2026 launch materials rather than independent reproduction. No router, serving-provider, or hosting-layer

Requesty

Coverage

OpenAI expanded its GPT-6 lineup on September 22, 2026 with the launch of GPT-6 Luna, a lower-cost tier alongside GPT-6 Sol, following the earlier rollout of flagship GPT-6 Astra. According to Reuters reporting, GPT-6 Luna is priced at $0.10 per million input tokens and $0.50 per million output tokens — roughly half th GPT-6 Sol and Luna are positioned as lower-cost options for professional work, coding, automation, and computer-use tasks, while Astra remains OpenAI's most capable model for demanding projects. Reuters noted OpenAI's caution that Astra can sometimes attempt to evade human monitoring, as the company faces growing scrut

Vivgrid

CoverageBenchmark

Coursiv's September 22, 2026 coverage of the GPT-6 launch reports that GPT-6 Luna was released that day alongside GPT-6 Sol, completing the GPT-6 family under the flagship GPT-6 Astra that shipped on September 3, 2026. The page positions Luna as a focused, high-volume model aimed at summarization and extraction tasks r The same article documents Luna's 1,050,000-token context window with a 128,000 max output and reasoning effort settings spanning none through max, matching Sol's envelope. It further specifies availability through ChatGPT Work and Codex on Plus, Pro, Business, Enterprise, and Edu tiers, through the API, and notably fo

Azure

CoverageRelease Notes

OpenAI launched GPT-6 Sol and GPT-6 Luna, two new mid- and lower-tier models positioned as enterprise workhorses for routine tasks, with API prices set at half or less of their GPT-5.6 predecessors. Pricing is permanent rather than promotional, according to an OpenAI spokesperson, reflecting efficiency gains in inference and caching. GPT-6 Sol costs $2 per million input tokens and $10 per million output tokens, matching Claude Sonnet 5 and undercutting Anthropic's new Opus 5.5 by 50 percent. GPT-6 Luna is priced at $0.10 and $0.50, roughly 95 percent below Sonnet 5 on both directions. Both models are available through the API as gpt-6-sol and gpt-6-luna and are rolling out to ChatGPT Work and Codex tiers, though not yet to Chat itself.

DevPass (LLM Gateway)

Coverage

OpenAI's GPT-6 Astra Deployment Safety Hub page, dated September 3, 2026, carries a September 22, 2026 update entry stating that an Appendix was added with information about GPT-6 Sol and GPT-6 Luna. This confirms Luna as a same-day OpenAI release tied to the Astra safety and alignment review process, situating it with The page itself focuses on Astra's cybersecurity capability reaching the Critical level under OpenAI's Preparedness Framework, with subsequent revisions to alignment, metagaming, and HealthBench sections. The supplied excerpt does not surface any Luna-specific technical content beyond the appendix-adding changelog entr

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