ModelPriceWatch.com
Last scan 2026-10-08 Models tracked 278 Providers 37 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

GPT-6 Luna

by OpenAI

Current new · 16d budget cheap tier

Today's price · per 1M tokens

Input

$0.100

per 1M tokens

Output

$0.500

per 1M tokens

Blended

$0.200

blended $/1M — 3:1 weighted input:output

Cached input

$0.010

10% of input — prompt caching

How this price is scoped: OpenAI's rate card prices this model by context length: the tracked figure is the short-context tier, and prompts over 272K input tokens bill at the long-context tier of $0.20 input / $0.02 cached input / $0.25 cache write / $0.75 output per 1M — 2x input and cache rates and 1.5x output, applied to the full request. Short-context cache writes bill at $0.125 per 1M. Regional (data-residency) endpoints carry a 10% uplift, and EU data residency is available only with Standard processing.

Source: official OpenAI pricing · read MODELPRICEWATCH.COM · 2026-10-08

Price receipt

We read OpenAI's own pricing page on and found gpt-6-luna listed with a price on the same row — that read is where the number above comes from, recorded as a new model. We keep the page text we read; its content hash is 2a31ece637.

Overview

The cheapest GPT-6 reasoning tier, released 2026-09-22 alongside GPT-6 Sol and priced at half the input rate of GPT-5.6 Luna before it. 1.05M context window, text + image input, text output, served over the Responses and Chat Completions APIs. $0.10/$0.50 per 1M tokens (cached input $0.01).

Capabilities

struck through = not supported
Input 2/4
Text ✓ Image ✓ Audio Video
Output
Text ✓
Features 4/9
Prompt caching ✓ Reasoning ✓ Coding Fast inference Long context ✓ Open weights Multimodal ✓ Web search Realtime

Benchmark performance

accuracy % · higher is better
Avg benchmark score56.9%
Perf per $/Mtok284.5
Terminal-Bench 2.1
73%
Humanity's Last Exam
38.5%
ARC-AGI 2
59.3%
Independent composite scores
  • AA Intelligence Index: 38.1 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: 0.7 (−100–100)
How it stacks up
  • Ranks #73 of 98 benchmarked models by average score
  • Ranks #61 of 191 comparably-measured models by percentile score, across 5 independent measurements
  • Ranks #7 of 191 comparably-tested models by normalized performance per dollar
  • Strongest at ARC-AGI 2 — 59.3%, #13 of 44

Source: ARC Prize verified leaderboard, semi-private eval, max effort, Artificial Analysis, Artificial Analysis (text-only, no tools, max effort) · updated · See full rankings →

Specifications

Provider
OpenAI
Context window
1M tokens
Modality
text, image
Parameters
Proprietary
Open source
No — proprietary
Released
Status
Current
Last updated
Tags
reasoningmultimodalbudgetcaching

Availability verified: — listed on OpenAI's own page