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OpenAI: GPT-5.6 Luna

openai/gpt-5.6-luna

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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 its price tier.

Modalities
In / Out Price
$0.20 / $1.20per 1M
Context
1.1M
Released
Jul 9, 2026
Knowledge Cutoff
Feb 2026
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityDocumentationFAQExplore

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), Floor (cheapest), or Exacto (highest tool-calling accuracy).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for OpenAI: GPT-5.6 Luna (Artificial Analysis and Vals AI)
SourceBenchmarkScore
Artificial AnalysisGPT-5.6 Luna (Max) Intelligence Index37.3
Artificial AnalysisGPT-5.6 Luna (Max) Coding Index71.4
Artificial AnalysisGPT-5.6 Luna (Max) Agentic Index42.1
Artificial AnalysisGPT-5.6 Luna (Max) GPQA Diamond91.1%
Artificial AnalysisGPT-5.6 Luna (Max) HLE39.5%
Artificial AnalysisGPT-5.6 Luna (Max) AA-LCR83.7%
Artificial AnalysisGPT-5.6 Luna (Max) τ-Bench Banking31.1%
Artificial AnalysisGPT-5.6 Luna (Max) GDPval-AA48.2%
Artificial AnalysisGPT-5.6 Luna (Max) CritPt20.6%
Artificial AnalysisGPT-5.6 Luna (Max) SciCode53.6%
Artificial AnalysisGPT-5.6 Luna (Max) Terminal-Bench 4.011.6%
Artificial AnalysisGPT-5.6 Luna (Max) Terminal-Bench 2.180.9%
Artificial AnalysisGPT-5.6 Luna (Max) AA-Omniscience Accuracy42.7%
Artificial AnalysisGPT-5.6 Luna (Max) AA-Omniscience Non-Hallucination Rate7.4%
Artificial AnalysisGPT-5.6 Luna (Medium) Intelligence Index25.0
Artificial AnalysisGPT-5.6 Luna (Medium) Coding Index50.7
Artificial AnalysisGPT-5.6 Luna (Medium) Agentic Index23.9
Artificial AnalysisGPT-5.6 Luna (Medium) GPQA Diamond85.9%
Artificial AnalysisGPT-5.6 Luna (Medium) HLE25.8%
Artificial AnalysisGPT-5.6 Luna (Medium) AA-LCR75.0%
Artificial AnalysisGPT-5.6 Luna (Medium) τ-Bench Banking17.7%
Artificial AnalysisGPT-5.6 Luna (Medium) GDPval-AA31.6%
Artificial AnalysisGPT-5.6 Luna (Medium) CritPt4.9%
Artificial AnalysisGPT-5.6 Luna (Medium) SciCode46.8%
Artificial AnalysisGPT-5.6 Luna (Medium) Terminal-Bench 4.00.5%
Artificial AnalysisGPT-5.6 Luna (Medium) Terminal-Bench 2.153.2%
Artificial AnalysisGPT-5.6 Luna (Medium) AA-Omniscience Accuracy40.7%
Artificial AnalysisGPT-5.6 Luna (Medium) AA-Omniscience Non-Hallucination Rate9.1%
Artificial AnalysisGPT-5.6 Luna (Non-reasoning) Intelligence Index15.5
Artificial AnalysisGPT-5.6 Luna (Non-reasoning) Coding Index39.3
Artificial AnalysisGPT-5.6 Luna (Non-reasoning) Agentic Index13.4
Artificial AnalysisGPT-5.6 Luna (Non-reasoning) GPQA Diamond64.5%
Artificial AnalysisGPT-5.6 Luna (Non-reasoning) HLE7.2%
Artificial AnalysisGPT-5.6 Luna (Non-reasoning) AA-LCR42.7%
Artificial AnalysisGPT-5.6 Luna (Non-reasoning) τ-Bench Banking9.7%
Artificial AnalysisGPT-5.6 Luna (Non-reasoning) GDPval-AA21.1%
Artificial AnalysisGPT-5.6 Luna (Non-reasoning) CritPt0.3%
Artificial AnalysisGPT-5.6 Luna (Non-reasoning) SciCode40.4%
Artificial AnalysisGPT-5.6 Luna (Non-reasoning) Terminal-Bench 4.01.0%
Artificial AnalysisGPT-5.6 Luna (Non-reasoning) Terminal-Bench 2.139.0%
Artificial AnalysisGPT-5.6 Luna (Non-reasoning) AA-Omniscience Accuracy28.6%
Artificial AnalysisGPT-5.6 Luna (Non-reasoning) AA-Omniscience Non-Hallucination Rate25.0%
Artificial AnalysisGPT-5.6 Luna (Low) Intelligence Index21.0
Artificial AnalysisGPT-5.6 Luna (Low) Coding Index44.2
Artificial AnalysisGPT-5.6 Luna (Low) Agentic Index16.1
Artificial AnalysisGPT-5.6 Luna (Low) GPQA Diamond83.5%
Artificial AnalysisGPT-5.6 Luna (Low) HLE19.8%
Artificial AnalysisGPT-5.6 Luna (Low) AA-LCR70.0%
Artificial AnalysisGPT-5.6 Luna (Low) τ-Bench Banking12.8%
Artificial AnalysisGPT-5.6 Luna (Low) GDPval-AA24.8%
Artificial AnalysisGPT-5.6 Luna (Low) CritPt2.6%
Artificial AnalysisGPT-5.6 Luna (Low) SciCode46.1%
Artificial AnalysisGPT-5.6 Luna (Low) Terminal-Bench 4.00.0%
Artificial AnalysisGPT-5.6 Luna (Low) Terminal-Bench 2.143.4%
Artificial AnalysisGPT-5.6 Luna (Low) AA-Omniscience Accuracy39.6%
Artificial AnalysisGPT-5.6 Luna (Low) AA-Omniscience Non-Hallucination Rate10.1%
Artificial AnalysisGPT-5.6 Luna (Xhigh) Intelligence Index34.6
Artificial AnalysisGPT-5.6 Luna (Xhigh) Coding Index68.6
Artificial AnalysisGPT-5.6 Luna (Xhigh) Agentic Index38.7
Artificial AnalysisGPT-5.6 Luna (Xhigh) GPQA Diamond89.5%
Artificial AnalysisGPT-5.6 Luna (Xhigh) HLE37.0%
Artificial AnalysisGPT-5.6 Luna (Xhigh) AA-LCR81.7%
Artificial AnalysisGPT-5.6 Luna (Xhigh) τ-Bench Banking28.7%
Artificial AnalysisGPT-5.6 Luna (Xhigh) GDPval-AA45.1%
Artificial AnalysisGPT-5.6 Luna (Xhigh) CritPt20.6%
Artificial AnalysisGPT-5.6 Luna (Xhigh) SciCode50.5%
Artificial AnalysisGPT-5.6 Luna (Xhigh) Terminal-Bench 4.03.5%
Artificial AnalysisGPT-5.6 Luna (Xhigh) Terminal-Bench 2.177.9%
Artificial AnalysisGPT-5.6 Luna (Xhigh) AA-Omniscience Accuracy42.4%
Artificial AnalysisGPT-5.6 Luna (Xhigh) AA-Omniscience Non-Hallucination Rate7.5%
Artificial AnalysisGPT-5.6 Luna (High) Intelligence Index32.1
Artificial AnalysisGPT-5.6 Luna (High) Coding Index63.3
Artificial AnalysisGPT-5.6 Luna (High) Agentic Index34.6
Artificial AnalysisGPT-5.6 Luna (High) GPQA Diamond89.2%
Artificial AnalysisGPT-5.6 Luna (High) HLE33.4%
Artificial AnalysisGPT-5.6 Luna (High) AA-LCR80.3%
Artificial AnalysisGPT-5.6 Luna (High) τ-Bench Banking25.2%
Artificial AnalysisGPT-5.6 Luna (High) GDPval-AA41.7%
Artificial AnalysisGPT-5.6 Luna (High) CritPt16.6%
Artificial AnalysisGPT-5.6 Luna (High) SciCode51.6%
Artificial AnalysisGPT-5.6 Luna (High) Terminal-Bench 4.02.5%
Artificial AnalysisGPT-5.6 Luna (High) Terminal-Bench 2.169.7%
Artificial AnalysisGPT-5.6 Luna (High) AA-Omniscience Accuracy41.8%
Artificial AnalysisGPT-5.6 Luna (High) AA-Omniscience Non-Hallucination Rate7.6%
Vals AIGPT-5.6 Luna Code Migration44.5%
Vals AIGPT-5.6 Luna CorpFin v264.2%
Vals AIGPT-5.6 Luna CyberBench v1.173.6%
Vals AIGPT-5.6 Luna EMB67.1%
Vals AIGPT-5.6 Luna Finance Agent (v2)55.0%
Vals AIGPT-5.6 Luna GPQA Diamond91.7%
Vals AIGPT-5.6 Luna Harvey's Legal Agent Benchmark1.3%
Vals AIGPT-5.6 Luna IOI61.8%
Vals AIGPT-5.6 Luna LegalBench84.0%
Vals AIGPT-5.6 Luna Legal Research Bench36.5%
Vals AIGPT-5.6 Luna MedCode42.4%
Vals AIGPT-5.6 Luna MedScribe84.4%
Vals AIGPT-5.6 Luna MMLU Pro86.0%
Vals AIGPT-5.6 Luna MMMU Pro85.0%
Vals AIGPT-5.6 Luna MortgageTax67.3%
Vals AIGPT-5.6 Luna ProgramBench0.0%
Vals AIGPT-5.6 Luna ProofBench v1.160.0%
Vals AIGPT-5.6 Luna SAGE44.2%
Vals AIGPT-5.6 Luna SkillsBench60.4%
Vals AIGPT-5.6 Luna SWE-bench93.0%
Vals AIGPT-5.6 Luna Tax Agent Bench60.8%
Vals AIGPT-5.6 Luna TaxEval v276.2%
Vals AIGPT-5.6 Luna Terminal-Bench 4.011.6%
Vals AIGPT-5.6 Luna Vals Index51.7%
Vals AIGPT-5.6 Luna Vals Multimodal Index69.1%
Vals AIGPT-5.6 Luna Vibe Code Bench 1-10022.6%
Vals AIGPT-5.6 Luna Vibe Code Bench v1.177.1%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Documentation

Guides, cookbooks, and tools for building with OpenAI: GPT-5.6 Luna on OpenRouter.

  • GPT-5.6 Migration GuideCookbook

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Throughput
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P50, best across providers

Latency
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P50, best provider

AutoExacto benchmarks
GPQA DiamondTAU-BenchAzure (EU)88.2%74.7%OpenAI86.6%73.7%Azure (US)89.1%70.7%Azure86.7%70.7%auto-routing88.2%68.7%Amazon Bedrock88.2%66.7%
Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.87%

Availability over the last 3 days

Last 72 hours
Availability 99.87%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.86%
Without Routing
98.12%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

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Frequently asked questions

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 its price tier.

The GPT-5.6 Luna documentation on OpenRouter includes the GPT-5.6 Migration Guide cookbook. The quickstart covers API keys and your first request, and the API reference lists every parameter.

GPT-5.6 Luna costs $0.20/M input tokens and $1.20/M output tokens, with separate rates for Cache Read at $0.02/M tokens, Cache Write at $0.25/M tokens, and Web Search at $10.00/1K calls.

GPT-5.6 Luna has a 1,050,000 token context window. It supports up to 128,000 completion tokens.

Yes. GPT-5.6 Luna accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Yes. OpenAI caches prompts of 1024 tokens or more automatically, and GPT-5.6 Luna bills a cache write on each cached prompt whether or not the cached prefix is read again. To turn caching off for a request, set prompt_cache_options.mode to "explicit" at the request root and do not mark any content block with prompt_cache_breakpoint. Explicit mode disables OpenAI-managed breakpoints, so a request with none of your own has no cacheable prefix and is billed at the plain input rate. See the prompt caching guide.

GPT-5.6 Luna accepts files such as PDFs, images, and text as input and returns text.

GPT-5.6 Luna is served by 3 providers on OpenRouter: OpenAI, Azure, and Amazon Bedrock. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

GPT-5.6 Luna was released on July 9, 2026. Its knowledge cutoff is February 16, 2026.

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Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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