GPT-6 Luna — reviews, specs & pricing
OpenAI's most efficient GPT-6 model for focused, high-volume tasks. 1.05M context, 128k max output, May 2026 knowledge cutoff, and $0.10/$0.50 per million tokens — the cheapest GPT-6 tier.
Summary
OpenAI's GPT-6 Luna is a highly efficient chat model engineered specifically for high-volume, focused tasks at a fraction of the cost of other frontier models. Featuring a massive 1.05M token context window and a generous 128k max output, it represents the most budget-friendly tier in the GPT-6 lineup. With a knowledge cutoff of May 2026, it successfully balances next-generation intelligence with unmatched operational cost-efficiency.
Sample use case
A financial services firm can leverage GPT-6 Luna to automate the compliance auditing of thousands of multi-page transaction logs and annual reports. By utilizing the massive 1.05M context window, developers can feed entire legal portfolios into a single prompt to extract anomalies, draft comprehensive summaries, and flag regulatory risks. Because Luna is priced at an ultra-low $0.10 per million input tokens, the firm can scale this high-volume document ingestion daily without incurring prohibitive API costs.
Specifications
- Provider: openai
- License: closed
- Context: 1050k tokens
- Input price: $0.1/M tok
- Output price: $0.5/M tok
- Released: 2026-09-22
Pros
- Extremely affordable pricing at $0.10/$0.50 per million tokens
- Massive 1.05M token input context window
- Generous 128k maximum output capacity
- Highly optimized for efficient, high-volume processing
Cons
- Limited strictly to chat modalities
- May 2026 knowledge cutoff limits real-time utility
- Tailored for focused tasks rather than broad, complex reasoning
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