Skip to content
  • Models
  • Rankings
  • Ori
Sign Up
Sign Up
OpenRouterOpenRouter
© 2026 OpenRouter, Inc

Product

  • Chat
  • Rankings
  • Benchmarks
  • Apps
  • Discover
  • Models
  • Collections
  • Providers
  • Tools
  • Pricing
  • Business
  • Enterprise
  • Labs

Company

  • About
  • Blog
  • Careers
    Hiring
  • Privacy
  • Terms of Service
  • Trust Center
  • Support
  • Works With OR
  • Data
  • Brand

Developer

  • Documentation
  • API Reference
  • Developer Platform
  • Status
  • AI Site Map

Connect

  • Discord
  • GitHub
  • LinkedIn
  • X
  • YouTube
Favicon for openai

OpenAI: GPT-5.6 Luna (batch)

openai/gpt-5.6-luna:batch

Compare

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
$0.10 / $0.60per 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 (batch) (Artificial Analysis)
SourceBenchmarkScore
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) GDPval-AA20.3%
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) AA-Omniscience Accuracy28.6%
Artificial AnalysisGPT-5.6 Luna (Non-reasoning) AA-Omniscience Non-Hallucination Rate25.0%
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) 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) AA-Omniscience Accuracy42.7%
Artificial AnalysisGPT-5.6 Luna (Max) AA-Omniscience Non-Hallucination Rate7.4%
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) GDPval-AA24.0%
Artificial AnalysisGPT-5.6 Luna (low) CritPt2.6%
Artificial AnalysisGPT-5.6 Luna (low) SciCode46.1%
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 (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) 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) AA-Omniscience Accuracy40.7%
Artificial AnalysisGPT-5.6 Luna (Medium) AA-Omniscience Non-Hallucination Rate9.1%
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) GDPval-AA44.2%
Artificial AnalysisGPT-5.6 Luna (xhigh) CritPt20.6%
Artificial AnalysisGPT-5.6 Luna (xhigh) SciCode50.5%
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) GDPval-AA40.9%
Artificial AnalysisGPT-5.6 Luna (high) CritPt16.6%
Artificial AnalysisGPT-5.6 Luna (high) SciCode51.6%
Artificial AnalysisGPT-5.6 Luna (high) AA-Omniscience Accuracy41.8%
Artificial AnalysisGPT-5.6 Luna (high) AA-Omniscience Non-Hallucination Rate7.6%

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 (batch) on OpenRouter.

  • GPT-5.6 Migration GuideCookbook

Explore more models

AI Models with Vision: Multimodal LLMs for Image UnderstandingCollectionAI Model RankingsRanking
$0.10$0.60$0.01----
--
AutoExacto benchmarks
GPQA DiamondTAU-BenchAzure90.1%72.7%Amazon Bedrock88.6%71.3%Azure88.2%70.7%OpenAI87.0%70.7%auto-routing87.0%70.7%Azure89.1%64.0%

Not enough uptime data to display yet.

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.

Not enough data for apps using this model yet.

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 (batch) 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 (batch) costs $0.10/M input tokens and $0.60/M output tokens, with separate rates for Cache Read at $0.01/M tokens and Web Search at $10.00/1K calls.

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

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

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

GPT-6.1 Sol Pro, GPT-6.1 Sol, GPT-6 Luna Pro and 61 more are other text models from OpenAI.

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

More models from OpenAI

GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

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

Text1.1M context$2 / $10
GPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

Text1.1M context$2 / $10
GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

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 Luna 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 Luna instead.

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

Text1.1M context$0.10 / $0.50
GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

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 Luna 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 Luna instead.

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

Text1.1M context$0.05 / $0.25
GPT-6 Luna

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.

Text1.1M context$0.10 / $0.50
GPT-6 Luna

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.

Text1.1M context$0.05 / $0.25
GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

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 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 Sol instead.

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

Text1.1M context$2 / $10
GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

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 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 Sol instead.

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

Text1.1M context$1 / $5
GPT-6 Sol

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

Text1.1M context$2 / $10
GPT-6 Sol

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

Text1.1M context$1 / $5
GPT Astra Latest

This model always redirects to the latest model in the GPT Astra family.

Text1.1M context
GPT Sol Latest

This model always redirects to the latest model in the GPT Sol family.

Text1.1M context
GPT Terra Latest

This model always redirects to the latest model in the GPT Terra family.

Text1.1M context
GPT Luna Latest

This model always redirects to the latest model in the GPT Luna family.

Text1.1M context
GPT Image 2.5 Sunburst

GPT Image 2.5 Sunburst is an image generation and editing model from OpenAI, positioned as the precision-oriented tier of the GPT Image 2.5 series. It is suited to detailed creative work where editing accuracy matters more than generation speed, via the dedicated Images API.

Image$8 / $30
GPT Image 2.5 Flare

GPT Image 2.5 Flare is an image generation and editing model from OpenAI, positioned as the speed-oriented tier of the GPT Image 2.5 series. It is suited to high-volume everyday generation, creator content, and rapid prototyping via the dedicated Images API.

Image$8 / $30
GPT-6 Astra

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon agentic tasks that involve computer and browser use.

Text1.1M context$10 / $50
GPT-6 Astra

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon agentic tasks that involve computer and browser use.

Text1.1M context$5 / $25
GPT-6 Astra Pro

GPT-6 Astra Pro is the same underlying model as GPT-6 Astra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

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 Astra 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 Astra instead.

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

Text1.1M context$10 / $50
GPT-6 Astra Pro

GPT-6 Astra Pro is the same underlying model as GPT-6 Astra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

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 Astra 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 Astra instead.

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

Text1.1M context$5 / $25