GPT-5.6 Luna
Ultra-fast low-latency lunar tier of the 5.6 family, achieving 73% on SWE-bench Verified at sub-120ms latency and $0.25/$1.00 economics across 500k context.
500k
~375k words input
$0.25 / $1
Prompt / Completion per 1M
73 % resolved
SWE-bench Verified
Cloud Managed
Zero local VRAM
Holistic Capability Distribution
Normalized 0-100 rating vectors balanced across intelligence, throughput, and economics.
Verified LLM Benchmarks
Empirical evaluations across academic reasoning, software engineering, agentic execution, and human preference.
Inference Latency & Generation Throughput
Empirical telemetry benchmarking generation throughput (Tokens/Second) and Time to First Token (TTFT).
Measured under concurrent production load
p95 latency: 320 ms
Across 5,600 monitored requests
Architectural Strengths vs. Operational Considerations
An objective technical balance sheet analyzing deployment advantages and production constraints.
Key Architectural Strengths
- Lunar tier speed: 155 tokens/sec with sub-120ms TTFT.
- Scores 73% on SWE-bench Verified at small model pricing.
- 500,000-token context window.
Operational Considerations
- Complex speculative research favored on Sol tier.
Hardware & Execution Parameters
Genealogical Provenance
High-speed lunar tier model in the 5.6 generation.
openai gpt 5 4 mini
GPT-5.6 Luna
Architecture Engineering & Capability Deep-Dive
Topology & Attention Mechanics
High-throughput dense architecture compiled for low latency and high concurrency.
Evaluation Profile & Reasoning Capabilities
Fast code synthesis, agent tool routing, and real-time streaming.
Inference Economics & Cost Optimization
$0.25 / $1.00 per 1M tokens.
Primary Production Workloads & Suitability
Cloud Deployment Architecture & Hardware Sizing
Cloud Deployment Architecture
Distributed enterprise serving infrastructure, autoscaling semantics, and runtime execution profile.
Proprietary commercial model hosted on managed multi-region clusters with automatic autoscaling, high availability, and prompt prefix caching.
Multi-Tenant Cloud API
Continuous autoscaling with regional failover
0 GB Local VRAM
Inference executed on hyperscaler accelerator clusters
500k tokens
Supported with automated KV cache prefix compression
SDK Installation
Official Repositories & Papers
Compare Showdowns
GPT-5.6 Luna vs GPT-5.6 Sol
Compare GPT-5.6 Luna against GPT-5.6 Sol's verified benchmarks, context window, and pricing.
GPT-5.6 Luna vs GPT-6 Luna
Compare GPT-5.6 Luna against GPT-6 Luna's verified benchmarks, context window, and pricing.
GPT-5.6 Luna vs OpenAI Decisions
Compare GPT-5.6 Luna against OpenAI Decisions's verified benchmarks, context window, and pricing.
GPT-5.6 Luna vs GPT-3.5 Turbo
Compare GPT-5.6 Luna against GPT-3.5 Turbo's verified benchmarks, context window, and pricing.
Commercial Token Rates & Cost Estimator
$0.25 / 1M
Standard prompt context ingestion
$1.00 / 1M
Generated completion & thinking tokens
$0.03 / 1M
Re-used prompt prefix context
Monthly Production Cost Simulator
$54.30
Includes prompt caching
-$13.20
Saved via prefix context caching
Comparable Foundation Architectures
Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.
GPT-5.6 Sol
July 2026 solar flagship model representing OpenAI's primary frontier intelligence tier, featuring 1M context, 89.8% on SWE-bench Verified, and enhanced agent synthesis.
GPT-6 Luna
Ultra-fast low-latency frontier model in the GPT-6 generation, streaming at 130+ tps across a 1-million-token context window at $0.20/$0.80 economics.
OpenAI Decisions
OpenAI Decisions is OpenAI's dedicated high-throughput decision-making API powered by GPT-6 Luna, accessed via the POST /v1/decisions endpoint. Designed for agent routing, automated content moderation, and classification, it processes typed questions (predicates, categorical choices, and rubric scores) roughly 10x faster than standard generation, billed at $0.10 per million input tokens with zero output-token fees.
GPT-3.5 Turbo
OpenAI's foundational conversational model that launched the ChatGPT era, optimized for fast dialogue, summary generation, and lightweight JSON tasks.
SDK Installation & API Integration
import OpenAI from 'openai';
const client = new OpenAI();
const completion = await client.chat.completions.create({
model: 'gpt-5.6-luna',
messages: [{ role: 'user', content: 'Ping' }],
});
console.log(completion.choices[0].message.content);Frequently Asked Questions about GPT-5.6 Luna
Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.
Luna designates OpenAI's ultra-low-latency high-speed model family, optimized for sub-120ms responses.