GPT-6 Luna
Language Available Full comparison ↗ openai/gpt-6-luna · by OpenAI
· decoder-only-transformer
Pricing — 1 offering(s)
About this offering: OpenAI's GPT-6 Luna, the cost-optimised tier of the GPT-6 family, launched 2026-09-22 for high-volume, cost-sensitive work. It costs $0.10 input and $0.50 output per 1M tokens, with cached input at $0.01 (OpenAI pricing page, checked 2026-10-11).
Input tokens
- $0.10 / 1M tokens (input) Current 2026-09-22 → present
Output tokens
- $0.50 / 1M tokens (output) Current 2026-09-22 → present
Cached input tokens
- $0.01 / 1M tokens (cached input) Current 2026-09-22 → present
Cache writes
- $0.125 / 1M tokens (cache write) Current 2026-09-22 → present
Batch
Batch input tokens
- $0.05 / 1M tokens (input) Current 2026-11-03 → present
Batch output tokens
- $0.25 / 1M tokens (output) Current 2026-11-03 → present
Showing the active price and any recorded history. Full pricing history is available via the paid API — see API docs.
See how GPT-6 Luna fits into a cost-aware routing setup
See how →Capability profile
How GPT-6 Luna rates across core capability dimensions, with the task-level evidence behind each rating.
1,050,000-token context window, 128,000 max output tokens (developers.openai.com/api/docs/models/gpt-6-luna).
OpenAI API docs: supports Functions, Web search, File search, Computer use.
Lowest-priced tier in the GPT-6 family ($0.10/$0.50 per 1M tokens, Standard, short context).
Ratings are estimated — limited independent data is available for this model.
Coding benchmarks
View the full coding benchmark leaderboard →| Benchmark | Score | Harness | Source |
|---|---|---|---|
| terminal-bench-2-1 | 73.0% 2026-09 | terminus-2 | 📊 leaderboard ↗ |
| terminal-bench-4-0 | 13.6% 2026-09 | mini-swe-agent | 📊 leaderboard ↗ |
Operator guidance
Cost-optimized tier of GPT-6, launched 2026-09-22. Route high-volume, focused tasks here; step up to GPT-6 Sol when the task needs more capability.
Use cases
- Cost-sensitive, high-volume workloads, per OpenAI's model docs
Limitations
- Capability ratings are qualitative, not a single cited benchmark run