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.
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), or Floor (cheapest).
| $0.10 | $0.60 | $0.01 | -- | -- |
Input $0.10 / Output $0.60-- tok/s-- uptime
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.
Weighted average
GPT-5.6 Luna (batch) — Price history
| $0.00 | $0.00 | 98.4% | 100.0% |
- Effective in $0.00 / Effective out $0.00Token share100.0%
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.
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 provider routing options.
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.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | GPT-5.6 Luna (Max) Intelligence Index | 23.8 |
| Artificial Analysis | GPT-5.6 Luna (Max) Coding Index | 71.4 |
| Artificial Analysis | GPT-5.6 Luna (Max) Agentic Index | 42.1 |
| Artificial Analysis | GPT-5.6 Luna (Max) GPQA Diamond | 91.1% |
| Artificial Analysis | GPT-5.6 Luna (Max) HLE | 39.5% |
| Artificial Analysis | GPT-5.6 Luna (Max) AA-LCR | 83.7% |
| Artificial Analysis | GPT-5.6 Luna (Max) τ-Bench Banking | 31.1% |
| Artificial Analysis | GPT-5.6 Luna (Max) GDPval-AA | 48.5% |
| Artificial Analysis | GPT-5.6 Luna (Max) CritPt | 20.6% |
| Artificial Analysis | GPT-5.6 Luna (Max) SciCode | 53.6% |
| Artificial Analysis | GPT-5.6 Luna (Max) Terminal-Bench 4.0 | 11.6% |
| Artificial Analysis | GPT-5.6 Luna (Max) Terminal-Bench 2.1 | 80.9% |
| Artificial Analysis | GPT-5.6 Luna (Max) AA-Omniscience Accuracy | 39.1% |
| Artificial Analysis | GPT-5.6 Luna (Max) AA-Omniscience Non-Hallucination Rate | 7.7% |
| Artificial Analysis | GPT-5.6 Luna (Xhigh) Coding Index | 68.6 |
| Artificial Analysis | GPT-5.6 Luna (Xhigh) Agentic Index | 38.7 |
| Artificial Analysis | GPT-5.6 Luna (Xhigh) GPQA Diamond | 89.5% |
| Artificial Analysis | GPT-5.6 Luna (Xhigh) HLE | 37.0% |
| Artificial Analysis | GPT-5.6 Luna (Xhigh) AA-LCR | 81.7% |
| Artificial Analysis | GPT-5.6 Luna (Xhigh) τ-Bench Banking | 28.7% |
| Artificial Analysis | GPT-5.6 Luna (Xhigh) GDPval-AA | 45.3% |
| Artificial Analysis | GPT-5.6 Luna (Xhigh) CritPt | 20.6% |
| Artificial Analysis | GPT-5.6 Luna (Xhigh) SciCode | 50.5% |
| Artificial Analysis | GPT-5.6 Luna (Xhigh) Terminal-Bench 4.0 | 3.5% |
| Artificial Analysis | GPT-5.6 Luna (Xhigh) Terminal-Bench 2.1 | 77.9% |
| Artificial Analysis | GPT-5.6 Luna (Low) Coding Index | 44.2 |
| Artificial Analysis | GPT-5.6 Luna (Low) Agentic Index | 16.1 |
| Artificial Analysis | GPT-5.6 Luna (Low) GPQA Diamond | 83.5% |
| Artificial Analysis | GPT-5.6 Luna (Low) HLE | 19.8% |
| Artificial Analysis | GPT-5.6 Luna (Low) AA-LCR | 70.0% |
| Artificial Analysis | GPT-5.6 Luna (Low) τ-Bench Banking | 12.8% |
| Artificial Analysis | GPT-5.6 Luna (Low) GDPval-AA | 25.1% |
| Artificial Analysis | GPT-5.6 Luna (Low) CritPt | 2.6% |
| Artificial Analysis | GPT-5.6 Luna (Low) SciCode | 46.1% |
| Artificial Analysis | GPT-5.6 Luna (Low) Terminal-Bench 4.0 | 0.0% |
| Artificial Analysis | GPT-5.6 Luna (Low) Terminal-Bench 2.1 | 43.4% |
| Artificial Analysis | GPT-5.6 Luna (Medium) Coding Index | 50.7 |
| Artificial Analysis | GPT-5.6 Luna (Medium) Agentic Index | 23.9 |
| Artificial Analysis | GPT-5.6 Luna (Medium) GPQA Diamond | 85.9% |
| Artificial Analysis | GPT-5.6 Luna (Medium) HLE | 25.8% |
| Artificial Analysis | GPT-5.6 Luna (Medium) AA-LCR | 75.0% |
| Artificial Analysis | GPT-5.6 Luna (Medium) τ-Bench Banking | 17.7% |
| Artificial Analysis | GPT-5.6 Luna (Medium) GDPval-AA | 31.9% |
| Artificial Analysis | GPT-5.6 Luna (Medium) CritPt | 4.9% |
| Artificial Analysis | GPT-5.6 Luna (Medium) SciCode | 46.8% |
| Artificial Analysis | GPT-5.6 Luna (Medium) Terminal-Bench 4.0 | 0.5% |
| Artificial Analysis | GPT-5.6 Luna (Medium) Terminal-Bench 2.1 | 53.2% |
| Artificial Analysis | GPT-5.6 Luna (Non-reasoning) Coding Index | 39.3 |
| Artificial Analysis | GPT-5.6 Luna (Non-reasoning) Agentic Index | 13.4 |
| Artificial Analysis | GPT-5.6 Luna (Non-reasoning) GPQA Diamond | 64.5% |
| Artificial Analysis | GPT-5.6 Luna (Non-reasoning) HLE | 7.2% |
| Artificial Analysis | GPT-5.6 Luna (Non-reasoning) AA-LCR | 42.7% |
| Artificial Analysis | GPT-5.6 Luna (Non-reasoning) τ-Bench Banking | 9.7% |
| Artificial Analysis | GPT-5.6 Luna (Non-reasoning) GDPval-AA | 21.4% |
| Artificial Analysis | GPT-5.6 Luna (Non-reasoning) CritPt | 0.3% |
| Artificial Analysis | GPT-5.6 Luna (Non-reasoning) SciCode | 40.4% |
| Artificial Analysis | GPT-5.6 Luna (Non-reasoning) Terminal-Bench 4.0 | 1.0% |
| Artificial Analysis | GPT-5.6 Luna (Non-reasoning) Terminal-Bench 2.1 | 39.0% |
| Artificial Analysis | GPT-5.6 Luna (High) Coding Index | 63.3 |
| Artificial Analysis | GPT-5.6 Luna (High) Agentic Index | 34.6 |
| Artificial Analysis | GPT-5.6 Luna (High) GPQA Diamond | 89.2% |
| Artificial Analysis | GPT-5.6 Luna (High) HLE | 33.4% |
| Artificial Analysis | GPT-5.6 Luna (High) AA-LCR | 80.3% |
| Artificial Analysis | GPT-5.6 Luna (High) τ-Bench Banking | 25.2% |
| Artificial Analysis | GPT-5.6 Luna (High) GDPval-AA | 41.9% |
| Artificial Analysis | GPT-5.6 Luna (High) CritPt | 16.6% |
| Artificial Analysis | GPT-5.6 Luna (High) SciCode | 51.6% |
| Artificial Analysis | GPT-5.6 Luna (High) Terminal-Bench 4.0 | 2.5% |
| Artificial Analysis | GPT-5.6 Luna (High) Terminal-Bench 2.1 | 69.7% |
| Vals AI | GPT-5.6 Luna Access to Justice Benchmark | 65.6% |
| Vals AI | GPT-5.6 Luna BioMysteryBench | 61.5% |
| Vals AI | GPT-5.6 Luna Code Migration | 44.5% |
| Vals AI | GPT-5.6 Luna CorpFin v2 | 64.2% |
| Vals AI | GPT-5.6 Luna CyberBench v1.1 | 73.6% |
| Vals AI | GPT-5.6 Luna EMB | 67.1% |
| Vals AI | GPT-5.6 Luna Finance Agent (v2) | 55.0% |
| Vals AI | GPT-5.6 Luna Financial Coaching Bench | 69.3% |
| Vals AI | GPT-5.6 Luna GPQA Diamond | 91.7% |
| Vals AI | GPT-5.6 Luna Harvey's Legal Agent Benchmark v1 | 1.3% |
| Vals AI | GPT-5.6 Luna IOI | 61.8% |
| Vals AI | GPT-5.6 Luna LegalBench | 84.0% |
| Vals AI | GPT-5.6 Luna Legal Research Bench | 36.5% |
| Vals AI | GPT-5.6 Luna MedCode | 42.4% |
| Vals AI | GPT-5.6 Luna MedScribe | 84.4% |
| Vals AI | GPT-5.6 Luna MMLU Pro | 86.0% |
| Vals AI | GPT-5.6 Luna MMMU Pro | 85.0% |
| Vals AI | GPT-5.6 Luna MortgageTax | 67.3% |
| Vals AI | GPT-5.6 Luna MysteryMechanism | 14.4% |
| Vals AI | GPT-5.6 Luna ProgramBench | 0.0% |
| Vals AI | GPT-5.6 Luna ProofBench v1.1 | 60.0% |
| Vals AI | GPT-5.6 Luna Public Benefits Bench v1.1 | 61.2% |
| Vals AI | GPT-5.6 Luna SAGE v1 | 44.2% |
| Vals AI | GPT-5.6 Luna Vals Science Index | 25.3% |
| Vals AI | GPT-5.6 Luna SkillsBench | 60.4% |
| Vals AI | GPT-5.6 Luna SRE Bench | 1.5% |
| Vals AI | GPT-5.6 Luna SWE-bench | 93.0% |
| Vals AI | GPT-5.6 Luna Tax Agent Bench | 24.8% |
| Vals AI | GPT-5.6 Luna TaxEval v2 | 76.2% |
| Vals AI | GPT-5.6 Luna Terminal-Bench 4.0 | 11.6% |
| Vals AI | GPT-5.6 Luna Terminal-Bench-Science | 0.0% |
| Vals AI | GPT-5.6 Luna Vals Index | 51.7% |
| Vals AI | GPT-5.6 Luna Vals Multimodal Index | 69.1% |
| Vals AI | GPT-5.6 Luna Vibe Code Bench 1-100 | 22.6% |
| Vals AI | GPT-5.6 Luna Vibe Code Bench v1.1 | 77.1% |
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.
Not enough data for apps using this model yet.
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.
Not currently available through EU in-region routing. In-region routing docs
Documentation
Guides, cookbooks, blog posts, and tools for building with OpenAI: GPT-5.6 Luna (batch) on OpenRouter.
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 and the GPT 5.6 Discounts & Jevons Paradox blog post. 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-5.6 Luna (batch) is served by 1 provider on OpenRouter: OpenAI.
GPT-6.1 Terra Pro, GPT-6.1 Terra, GPT-6 Luna Decisions and 58 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.