GPT‑5.2 builds on GPT‑5.1 with improvements that make interactions more reliable, flexible, and user-friendly. The focus is on delivering clearer responses, better adaptability, and enhanced control for diverse tasks. Key highlights include: Accelerate agent development: Build AI agents for analytics, decision support, code modernization, and data pipelines. Greater consistency: Produces more predictable and accurate outputs aligned with user instructions. Adaptive reasoning: Handles complex queries with improved depth while remaining efficient for simpler tasks. Expanded context handling: Supports longer inputs for multi-step workflows and richer conversations. Refined customization: Offers better control over tone, style, and structured output for tailored experiences. Broader applicability: Strengthens performance across a wide range of domains while maintaining clarity and safety.
GPT 5.2 vs GPT 5.6 Luna
Compare GPT 5.2 from OpenAI and GPT 5.6 Luna from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GPT 5.2, GPT 5.6 Luna?
GPT 5.6 Luna: $6/M output tokens; GPT 5.2: $14/M. Use the cost calculator above to estimate your own workload.
How large is each context window?
GPT 5.2 accepts 400,000 and GPT 5.6 Luna accepts 1,050,000 input tokens. Maximum output per request is 128,000 tokens on GPT 5.2 and 128,000 tokens on GPT 5.6 Luna.
What inputs and capabilities does each model support?
GPT 5.2 accepts text, image and PDF input and supports thinking, web search, function calling, structured outputs and tool calling; GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs.
Can I call GPT 5.2 and GPT 5.6 Luna with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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