# GPT-6 Luna Usage, Cost & Rank | OpenCode Data

> GPT-6 Luna ranked #12 by tokens across OpenCode last week, with 0.1% of tokens over the past two months. GPT-6 Luna costs $0.10 per 1M input tokens and $0.50 per 1M output tokens.

OpenAI's most efficient model for focused, high-volume tasks

- Page: https://opencode.ai/data/openai/gpt-6-luna
- JSON: https://opencode.ai/data/openai/gpt-6-luna.json
- Model ID: openai/gpt-6-luna
- Lab: OpenAI
- Updated: 2026-10-02T08:39:37.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1.1M |
| Max output | 128K |
| Knowledge cutoff | 2026-05-18 |
| Release date | 2026-09-22 |
| Input modalities | text, image, pdf |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | No |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.10 | $0.50 | $0.01 | $0.13 |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #12 |
| Tokens | 825B |
| Share of all tokens | 0.1% |
| Change vs previous 2 months | +100% |
| Unique users | 120K |
| Completed sessions | 760,052 |
| Average tokens per session | 1.1M |
| Average cost per session | $0.0280 |
| Total spend | $21,272 |
| Input tokens served from cache | 99.9% |
| Weekly retention | - |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-09-23 | 7.9B | 2.5K | 9,738 |
| 2026-09-24 | 81B | 12K | 67,157 |
| 2026-09-25 | 97B | 12K | 66,887 |
| 2026-09-26 | 86B | 11K | 71,512 |
| 2026-09-27 | 85B | 12K | 69,168 |
| 2026-09-28 | 130B | 16K | 115,563 |
| 2026-09-29 | 135B | 17K | 106,472 |
| 2026-09-30 | 112B | 16K | 109,539 |
| 2026-10-01 | 75B | 15K | 107,942 |
| 2026-10-02 | 17B | 6.2K | 36,074 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 120B | 14.5% |
| 2 | Brazil | 54B | 6.5% |
| 3 | Germany | 49B | 5.9% |
| 4 | Japan | 44B | 5.4% |
| 5 | Spain | 39B | 4.7% |
| 6 | Singapore | 29B | 3.5% |
| 7 | France | 28B | 3.4% |
| 8 | India | 26B | 3.2% |
| 9 | Colombia | 24B | 2.9% |
| 10 | Indonesia | 22B | 2.7% |
| 11 | Argentina | 21B | 2.5% |
| 12 | United Kingdom | 20B | 2.5% |
| 13 | Canada | 18B | 2.2% |
| 14 | Mexico | 18B | 2.2% |
| 15 | Netherlands | 18B | 2.1% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 8 | [glm-5.3-flash](https://opencode.ai/data/zhipuai/glm-5-3-flash.md) | Zhipu | 2.1T |
| 9 | [mimo-v2.5](https://opencode.ai/data/xiaomi/mimo-v2-5.md) | Xiaomi | 794B |
| 10 | [muse-spark-1.2-contributor](https://opencode.ai/data/meta/muse-spark-1-2-contributor.md) | Meta | 738B |
| 11 | [deepseek-v4-flash-vision-exp](https://opencode.ai/data/deepseek/deepseek-v4-flash-vision-exp.md) | DeepSeek | 687B |
| 12 | [gpt-6-luna](https://opencode.ai/data/openai/gpt-6-luna.md) | OpenAI | 640B |
| 13 | [deepseek-v4-pro](https://opencode.ai/data/deepseek/deepseek-v4-pro.md) | DeepSeek | 465B |
| 14 | [mimo-v2.6-pro](https://opencode.ai/data/xiaomi/mimo-v2-6-pro.md) | Xiaomi | 464B |
| 15 | [nemotron-3.5-lightning](https://opencode.ai/data/nvidia/nemotron-3-5-lightning.md) | NVIDIA | 267B |
| 16 | [ling-3.0-flash-fin](https://opencode.ai/data/inclusionai/ling-3-0-flash-fin.md) | inclusionAI | 256B |
| 17 | [qwen3.8-flash](https://opencode.ai/data/alibaba/qwen3-8-flash.md) | Qwen | 256B |

## Benchmarks

| Benchmark | Score | Metric | Source |
| --- | --- | --- | --- |
| DeepSWE | 66.6 | score | https://openai.com/index/introducing-gpt-6-sol-and-luna/ |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.