GPT-6 Luna API Pricing & Cost Calculator
GPT-6 Luna runs at $0.10 input / $0.50 output per 1M tokens: $0.00035 for a 1,000-in / 500-out call, the lowest per-call cost of any model we track. It undercuts DeepSeek V3.2 ($0.28/$0.40) while offering 922K of context against V3.2's 164K, and it halves GPT-5.6 Luna's input price ($0.20/$1.20). Cached input $0.01/1M, Batch API $0.05/$0.25.
DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.
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GPT-6 Luna pricing breakdown
All pricing dimensions including caching and batch discounts.
| Type | Price (per 1M tokens) |
|---|---|
| Input | $0.1000 |
| Output | $0.5000 |
| Cached input | $0.0100 |
| Cache write | $0.1250 |
| Batch input | $0.0500 |
| Batch output | $0.2500 |
DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.
Affiliate link — we may earn a commission at no extra cost to you.
Last verified 2026-11-07 · OpenAI official pricing · ⚠️ Spotted a wrong price? Report in 30s →
GPT-6 Luna vs alternatives
Single-call cost (1000 input + 500 output tokens) ranked from cheapest.
| Model | Per call |
|---|---|
GPT-6 Luna OpenAI · this page | $0.000350 |
| Claude Haiku 5.5 Anthropic | $0.000350 |
| DeepSeek V3.2 DeepSeek | $0.000480 |
| GPT-5.6 Luna OpenAI | $0.000800 |
| DeepSeek V4-Flash DeepSeek | $0.000900 |
| Gemini 3.1 Flash Lite Google | $0.001000 |
When to choose GPT-6 Luna
GPT-6 Luna shines for general-purpose tasks, complex multi-step reasoning, image and document understanding, long documents and large codebases, high-throughput, and low-latency tasks. Token counts on this page are exact via the official tokenizer.