GPT-6 Luna (Medium)
Context 1M tokens
Top 3 cheapest providers (Adjusted $/task)
The same list price can give a different adjusted $/task (caching, token efficiency) — click a price for its inputs.
Within the active global provider, residency and confidentiality filters.
| # | Provider | Price channel | Raw input $/1M | Raw output $/1M | Adjusted $/task |
|---|---|---|---|---|---|
| 1 | Azurevia OpenRouter — Price via OpenRouter: OpenRouter's price for Azure's endpoint (https://openrouter.ai/openai/gpt-6-luna/providers), collected 2026-11-05. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Azure's endpoint (https://openrouter.ai/openai/gpt-6-luna/providers), collected 2026-11-05. | $0.100 | $0.500 | |
| 2 | Amazon Bedrockvia OpenRouter — Price via OpenRouter: OpenRouter's price for Amazon Bedrock's endpoint (https://openrouter.ai/openai/gpt-6-luna/providers), collected 2026-11-05. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Amazon Bedrock's endpoint (https://openrouter.ai/openai/gpt-6-luna/providers), collected 2026-11-05. | $0.100 | $0.500 | |
| 3 | T-Systems LLM Hubdirect — Direct price: T-Systems LLM Hub's own price list (https://docs.llmhub.t-systems.net/models/llms/), collected 2026-11-05. | direct — Direct price: T-Systems LLM Hub's own price list (https://docs.llmhub.t-systems.net/models/llms/), collected 2026-11-05. | $0.120 | $0.610 |
Composite
5 of 7 inputs · 4 from the model family6 radar axes: DesignArena's two boards share one49.9
AA Coding v4.x —Coding Agent v1.4 —AA Intelligence 18.5AA Agentic —Epoch ECI 156.7Software ECI 158.3DesignArena 1161/1152
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
26 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
12 of 27 values are OpenAI's own claims (†), not independent measurements; a matching independent result replaces a claim as soon as one exists.
- Epoch ECI · attached
- Software ECI · attached
- DesignArena Web Apps (agentic) · attached
- DesignArena Full-Stack · attached
Agentic
Terminal-Bench v4.0 (AA, upstream timeouts)102.5%
Terminal-Bench v4.0 (AA, upstream timeouts) 4.0-upstream-timeouts → · Published board — Tests terminal-based work on the 66-task release using AA's mini-swe-agent harness with the tasks' own timeouts.
AutomationBench 1.0.6developer's claim9.4%† self-reported by the developer
AutomationBench 1.0.6 v1.0.6 → · Vendor-reported by OpenAI — AutomationBench 1.0.6 score OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
Agents' Last Exam V1developer's claim46.8%† self-reported by the developer
Agents' Last Exam V1 v1 → · Vendor-reported by OpenAI — Agents' Last Exam V1 score OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
OSWorld 2.0 offline (v2026.08.08 release)developer's claim31.5%† self-reported by the developer
OSWorld 2.0 offline (v2026.08.08 release) v2026.08.08 → · Vendor-reported by OpenAI — OSWorld 2.0 offline partial reward OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
Coding
SciCode (AA subproblems) v1.0.16050.9%
SciCode (AA subproblems) v1.0.1 → · Published board — Tests scientific Python programming with scientist-annotated background information.
FrontierCode 1.1 Main (Cognition)developer's claim35.5%† self-reported by the developer
FrontierCode 1.1 Main (Cognition) v1.1 → · Codex — Whether a maintainer would merge the agent's pull request, on tasks crafted by open-source maintainers and graded with tests, rubrics and verifiers.
DeepSWE v1.1developer's claim44.5%† self-reported by the developer
DeepSWE v1.1 v1.1 → · Vendor-reported by OpenAI — DeepSWE v1.1 score OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
FrontierCode 1.1 Extended (Cognition)developer's claim50.1%† self-reported by the developer
FrontierCode 1.1 Extended (Cognition) v1.1 → · Codex — Whether a maintainer would merge the agent's pull request, on the full 150-task FrontierCode set crafted by open-source maintainers and graded with tests, rubrics and verifiers.
Efficiency
FrontierCode 1.1 Main cost per rollout (Cognition)developer's claim$0.051† self-reported by the developer
FrontierCode 1.1 Main cost per rollout (Cognition) v1.1 → · Codex — Cognition's published mean USD spend per rollout for each FrontierCode 1.1 Main model and reasoning effort.
AutomationBench 1.0.6 cost per taskdeveloper's claim$0.016† self-reported by the developer
AutomationBench 1.0.6 cost per task v1.0.6 → · Published board — USD cost per AutomationBench 1.0.6 task OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
Cost to run AA Intelligence Index (total) v4.3.290$31.16
Cost to run AA Intelligence Index (total) v4.3.2 → · Published board — Cost to run AA Intelligence Index (total) results published by Artificial Analysis.
Cost per AA Intelligence Index task v4.3.2900.02
Cost per AA Intelligence Index task v4.3.2 → · Published board — Cost per AA Intelligence Index task results published by Artificial Analysis.
FrontierCode 1.1 Extended cost per rollout (Cognition)developer's claim$0.043† self-reported by the developer
FrontierCode 1.1 Extended cost per rollout (Cognition) v1.1 → · Codex — Cognition's published mean USD spend per rollout for each FrontierCode 1.1 Extended model and reasoning effort.
Agents' Last Exam V1 cost per taskdeveloper's claim$0.11† self-reported by the developer
Agents' Last Exam V1 cost per task v1 → · Published board — USD cost per Agents' Last Exam V1 task OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
DeepSWE v1.1 cost per taskdeveloper's claim$0.052† self-reported by the developer
DeepSWE v1.1 cost per task v1.1 → · Published board — USD cost per DeepSWE v1.1 task OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
OSWorld 2.0 offline (v2026.08.08 release) cost per taskdeveloper's claim$0.062† self-reported by the developer
OSWorld 2.0 offline (v2026.08.08 release) cost per task v2026.08.08 → · Published board — USD cost per OSWorld 2.0 offline (v2026.08.08 release) task OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
Knowledge
Humanity's Last Exam (AA text-only)7828.3%
Humanity's Last Exam (AA text-only) published 2026-09-10 → · Published board — Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.
AA-Omniscience Index75-5.05
AA-Omniscience Index published 2026-09-10 → · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
Long-context
AA-LCR v1.18278.3%
AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
Reasoning
ARC-AGI-1761.0%
ARC-AGI-1 v1 → · Published board — The first-generation ARC-AGI benchmark measuring passive fluid intelligence, with leaderboard score plotted against cost-per-task.
ARC-AGI-21118.1%
ARC-AGI-2 v2 → · Published board — The second-generation ARC-AGI benchmark of passive fluid intelligence, with leaderboard score plotted against cost-per-task.
AA Intelligence Index v5.0.1 · snapshot-2026-11-042218.5
AA Intelligence Index v5.0.1 · snapshot-2026-11-04 → · Published board — Artificial Analysis Intelligence Index v5.0.1. Models AA has not rescored on v5.0.1 are listed as estimates from their frozen v4.x value (isotonic fit over the models measured on both versions), never as measurements.
Science
CritPt (AA)8410.6%
CritPt (AA) published 2026-09-10 → · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
Tool-use
AutomationBench-AA v1.0.66040.5%
AutomationBench-AA v1.0.6 → · Published board — Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.
Vision
MMMU Pro (AA)5873.0%
MMMU Pro (AA) published 2026-09-10 → · Published board — Tests multimodal understanding using challenging ten-option questions.
Chartography 100-tasks4226.7%
Chartography 100-tasks → · Published board — Can a model read the charts professionals rely on — Kaplan-Meier curves, candlesticks, contour maps, Sankey diagrams, Bode plots, wind roses — from the image alone, to an expert-set precision?
GDP.pdf 100-tasks3120.4%
GDP.pdf 100-tasks → · Published board — Can a model answer real professional questions about the PDFs work runs on — manuals, wiring diagrams, filings, forms — so that every rubric criterion an expert wrote is met?
Missing coverage · 293 benchmark versions
No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.
Variants / reasoning settings
Artificial Analysis snapshot 2026-11-04 · Intelligence Index v5.0 (est. = estimated from v4, not measured) · Coding Index v4.x frozen 2026-10-27 · Data: Artificial Analysis · Data: Epoch AI (CC BY)
| Variant | AA Coding | AA Intelligence |
|---|---|---|
| GPT-6 Luna (Max) | — | 27.9 |
| GPT-6 Luna (Xhigh) | — | 23.5 |
| GPT-6 Luna (High) | — | 21.4 |
| GPT-6 Luna (Medium) | — | 18.5 |
| GPT-6 Luna (Low) | — | 9.7 |
| GPT-6 Luna (Non-reasoning) | — | 9.4 |
SUBSCRIPTION PLAN
GitHub Copilot
Current usage-based billing · model token cost is converted to AI Credits at 1 credit = $0.01.
Token offers by platform · 7 offers (Adjusted $/task)
Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.
7 offers within the active global filters, 2 more outside them; “price n/a” means the provider serves the model but publishes no direct token price we could collect — no other channel's price is shown in its place.
OpenRouter (5)
Prices via OpenRouter — what OpenRouter charges for each provider's endpoint, not the provider's own direct price. Source: openrouter.ai/openai/gpt-6-luna/providers, collected 2026-11-05.
| Azureconditional | globalazure | $0.100 raw in $/1M | $0.500 raw out $/1M | |
| Azureconditional | globalazure/us | $0.110 raw in $/1M | $0.550 raw out $/1M | |
| Amazon Bedrockconditional | globalamazon-bedrock/global | $0.100 raw in $/1M | $0.500 raw out $/1M | |
| Azureconditional | euazure/euEU | $0.110 raw in $/1M | $0.550 raw out $/1M | |
| Amazon Bedrockconditional | globalamazon-bedrock/us-east-1 | $0.110 raw in $/1M | $0.550 raw out $/1M |
T-Systems LLM Hub (2)
Direct prices from T-Systems LLM Hub's own price list. Source: docs.llmhub.t-systems.net/models/llms/, collected 2026-11-05.
| T-Systems LLM Hub | euup to 272k inputEU | $0.120 raw in $/1M | $0.610 raw out $/1M | |
| T-Systems LLM Hub | euabove 272k inputEU | $0.250 raw in $/1M | $0.910 raw out $/1M |