--- title: "OpenAI: GPT-5.6 Luna — price, capability and what beats it · Undominated.ai" canonical: https://undominated.ai/models/openai__gpt-5.6-luna/ description: "OpenAI: GPT-5.6 Luna: $0.200/M in, $1.20/M out. Independent capability scores, context-tier pricing, and alternatives compared under recorded workload and capability requirements." --- # OpenAI: GPT-5.6 Luna — price, capability and what beats it · Undominated.ai > OpenAI: GPT-5.6 Luna: $0.200/M in, $1.20/M out. Independent capability scores, context-tier pricing, and alternatives compared under recorded workload and capability requirements. [Check base rates for this workload](/check/openai__gpt-5.6-luna/) [Cheaper alternatives](/alternatives/openai__gpt-5.6-luna/) [Family](/families/gpt-5-6/) [Compare models](https://undominated.ai/compare/?models=openai%2Fgpt-5.6-luna) Comparison context Choose up to three standard models in Compare. Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls. MODEL PROOF # GPT-5.6 Luna OpenAI · 09 Jul 2026 · proprietary Balanced Summarise Chat Code gen Agentic TRADE-OFF ## A stored alternative has an equal-or-higher score and an equal-or-lower price, with capability losses. **$0.450** / 1M tokens Balanced · 3 tokens in per 1 out Base context tier shown; inspect the complete context ladder below. [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) · Δ score 38.6 points · 47% lower measured price - 1.1M → 1M context - no file input Evidence as of 06 Oct 2026 [openrouter/models](https://openrouter.ai/api/v1/models) [Vendor cross-check](https://developers.openai.com/api/docs/pricing) [LMArena · cc-by-4.0](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset) Independent LMArena score 1,431 ± 4.38 · 38,275 votes Context window 1.05M Maximum output 128K Input modalities file, image, text Output modalities text Published input price $0.200 / 1M tokens Published output price $1.20 / 1M tokens Pricing kind fixed Context tiers Tiered by context Inspect [complete billing conditions](#billing-details) and endpoint terms below. Price from OpenAI: the cheapest offer that is serving, at standard delivery and at the maker’s precision or better, at its standard rate. Cheaper right now: $0.225/M at OpenAI — delivery tier (flex) It does not pass the like-for-like test, so it never sets a rank. Every price dimension · USD per million tokens | Input | $0.200 /M | | --- | --- | | Output | $1.20 /M | | Cached input | $0.020 /M | | Cache write | $0.250 /M | | Cache write 1h | Unknown /M | | Reasoning | Unknown /M | | Web search | $0.01 /call | | Batch discount | 50% | **The headline rate does not apply to a long-context workload.** Complete context ladder · 1 tier | More than 272,000 tokens | $0.400 /M in (2×) $1.80 /M out $0.040 /M cached input $0.500 /M cache write | | --- | --- | ### Who sells it The same weights, different shops. Cheapest is not like-for-like when serving precision differs. 7 provider offers · rates, limits and conditions Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test. | Seller | Input | Output | Precision | Uptime (1d) | | --- | --- | --- | --- | --- | | Seller OpenAI openai/flex Endpoint terms Cached input /M $0.010 Context limit 1,050,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.100 | Output $0.600 | Precision undeclared | Uptime (1d) 99.96% | | Seller Azure azure Endpoint terms Cached input /M $0.020 Context limit 1,050,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.83% | Input $0.200 | Output $1.20 | Precision undeclared | Uptime (1d) 99.79% | | Seller OpenAI openai Endpoint terms Cached input /M $0.020 Context limit 1,050,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.99% | Input $0.200 | Output $1.20 | Precision undeclared | Uptime (1d) 99.99% | | Seller Azure azure/us Endpoint terms Cached input /M $0.022 Context limit 1,050,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $0.220 | Output $1.32 | Precision undeclared | Uptime (1d) 99.93% | | Seller Amazon Bedrock amazon-bedrock/us-east-1 Endpoint terms Cached input /M $0.022 Context limit 1,050,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.95% | Input $0.220 | Output $1.32 | Precision undeclared | Uptime (1d) 99.98% | | Seller Azure azure/eu Endpoint terms Cached input /M $0.022 Context limit 1,050,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.220 | Output $1.32 | Precision undeclared | Uptime (1d) 99.99% | | Seller OpenAI openai/fast Endpoint terms Cached input /M $0.040 Context limit 1,050,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.400 | Output $2.40 | Precision undeclared | Uptime (1d) 100.00% | ### Independent scores | LMArena Elo | 1431 xhigh | | --- | --- | LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero. ### Capability | Context window | 1M | | --- | --- | | Max output | 128K | | Input modes | file, image, text | | Tool use | yes | | Reasoning | optional | | Knowledge cutoff | 2026-02-16 | | Open weights | no | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-10-06 | | Quality data | verified | | Cross-checked | [vendor page](https://developers.openai.com/api/docs/pricing) | ## Our take editorial — not a measurement Luna is a candidate for recurring extraction, retrieval and summarisation work. Evaluate it on your actual inputs and compare the selected-tier price with alternatives. The API model and a ChatGPT subscription are different products: a chat-plan placement or allowance does not establish this model’s capability or API entitlement. ### Strengths - Tools, structured outputs and cached-input pricing are listed - The accepted table includes batch and context-tier information ### Weaknesses - Long prompts can select a different rate - Low token prices do not establish acceptable task quality ### Reach for it when - High-volume extraction and summarisation evaluations - Retrieval workflows with repeated context ### Avoid it if - It fails the quality threshold in your own evaluations - You require downloadable weights Sources: [developers.openai.com](https://developers.openai.com/api/docs/pricing) · [chatgpt.com](https://chatgpt.com/pricing/) GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for... ## Questions this page answers What does GPT-5.6 Luna cost? $0.200/M in, $1.20/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does GPT-5.6 Luna have an independent quality score? GPT-5.6 Luna has an LMArena score in this catalogue. What beats GPT-5.6 Luna? GLM 5.3 Flash has an equal-or-higher measured score and an equal-or-lower price, with capability trade-offs. Does this page use Artificial Analysis scores for GPT-5.6 Luna? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options OpenAI: GPT-5.6 Luna. Balanced workload. Alternative has a trade-off. Evidence as of 06 Oct 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related - Higher score and cheaper, with a named trade [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) - Side by side [GPT-5.6 Terra](/compare/openai__gpt-5.6-luna--vs--openai__gpt-5.6-terra/) - Nearby on the capability axis [DeepSeek V4 Flash 0423](/models/deepseek__deepseek-v4-flash/) - Same vendor [GPT-5.1](/models/openai__gpt-5.1/) - OpenAI models [OpenAI](/providers/openai/) - Where this model appears [disagreement](/disagreement/) - Nearby on the capability axis [GLM 4.5](/models/z-ai__glm-4.5/) - Same vendor [GPT-6 Astra](/models/openai__gpt-6-astra/) - Where this model appears [cliffs](/cliffs/) - Nearby on the capability axis [MiniMax M3](/models/minimax__minimax-m3/) - Same vendor [GPT-6.1 Sol](/models/openai__gpt-6.1-sol/) - Where this model appears [spreads](/spreads/) ## Badge The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not. Markdown Copy [![GPT-5.6 Luna — Undominated.ai dominance verdict](https://undominated.ai/badge/openai__gpt-5.6-luna.svg)](https://undominated.ai/models/openai__gpt-5.6-luna/) HTML Copy GPT-5.6 Luna — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/openai__gpt-5.6-luna.svg](https://undominated.ai/badge/openai__gpt-5.6-luna.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy. ## Continue your investigation - [Explore model families](/families/) - [Compare a shortlist](/compare/) - [Check a model](/check/) - [Understand the evidence](/methodology/)