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GPT-6 Luna Pro (batch) Pricing

OpenAI · openai-gpt-6-luna-pro-batch

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Input / 1M tokens

$0.050

Output / 1M tokens

$0.250

Context window

1050k tokens

≈ 1,400 pages of text

Max output

128k tokens

What it costs in practice

Typical request (1,200 in + 400 out tokens)$0.0002

1,000 requests / month$0.16/mo 10,000 requests / month$1.60/mo 100,000 requests / month$16.00/mo

Estimate your own workloadOpens the calculator with GPT-6 Luna Pro (batch) preloaded — adjust volume and token counts there.

Price history

Only one price point recorded so far.

The staircase chart appears once a price change is detected.

What it excels at

Processes 1M-token contexts with vision in batch workloads at low per-token cost; suitable for large-scale document analysis and summarization pipelines.

The business tradeoff

Batch-only design increases latency for interactive applications; output tokens priced five times higher than input, raising costs on generation-heavy tasks.

Cheaper from OpenAI

GPT-5 Nano (batch)OpenAI$0.0001/ typical request gpt-oss-20bOpenAI$0.0001/ typical request

Same tier from other providers

Claude Haiku 4.5Anthropic$0.0032/ typical request Gemini 3.5 FlashGoogle$0.0054/ typical request Llama 3.3 70BMeta$0.0002/ typical request

Head-to-head

GPT-6 Luna Pro (batch) vs Claude Haiku 4.5 →GPT-6 Luna Pro (batch) vs Gemini 3.5 Flash →GPT-6 Luna Pro (batch) vs Llama 3.3 70B →

Vendor list rates, as of Sep 22, 2026 · source: openrouter · per-request examples assume 1,200 input + 400 output tokens.