GPT-6 Luna: Price, Context, Benchmarks, and Release Details
61.6
SI Score (method si-v2-absolute-shrinkage-1)
#52 of 115 ranked
100% confidence 100 percent, Full confidence — 5 of 7 expected sources in
Coverage 83% of expected source weight · 100% confidence at 80% coverage
Pillar breakdown
Coding (weight 40 percent) 54.6
Math (weight 15 percent) 79.5
Preference (weight 15 percent) 72.3
Reasoning (weight 30 percent) 64.7
Pillar weights: reasoning 30% · math 15% · coding 40% · preference 15%. Benchmark results use fixed 0–100 scales before averaging; incomplete evidence is shrunk toward 50.
Facts
- Input price / 1M
- $0.10OpenAI pricingOfficial Standard short-context rate; excludes Batch/Flex/cache discounts
Retrieved Oct 8, 2026 · factual citation
Open source ↗ - Output price / 1M
- $0.50OpenAI pricingOfficial Standard short-context rate; excludes Batch/Flex/cache discounts
Retrieved Oct 8, 2026 · factual citation
Open source ↗ - Context window
- 1.1Mmodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - Max output
- 128Kmodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - Released
- Sep 22, 2026OpenAI API changelogPublished source fact
Retrieved Oct 8, 2026 · factual citation
Open source ↗ - Open weights
- Nomodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - License
- not yet reported
- Input modalities
- text, image, pdfmodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - Popularity rank
- #6 by usageOpenRouter rankingsPublished source fact; tokens processed; page default period; excludes catalog and endpoint statistics
Retrieved Oct 8, 2026 · CC-BY-4.0
Open source ↗
Benchmark results
47 results| Benchmark | Raw result | Normalized (0–100) | Pillar |
|---|---|---|---|
| arc agi v1 public eval | 79.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 79.8 | reasoning |
| arc agi v1 public eval | 46.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 46.5 | reasoning |
| arc agi v1 public eval | 92.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-luna-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 92.5 | reasoning |
| arc agi v1 public eval | 70.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'medium' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 70.1 | reasoning |
| arc agi v1 public eval | 85.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'xhigh' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 85.8 | reasoning |
| arc agi v1 semi private | 70.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 70.3 | reasoning |
| arc agi v1 semi private | 37.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 37.7 | reasoning |
| arc agi v1 semi private | 86.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-luna-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 86.7 | reasoning |
| arc agi v1 semi private | 61%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'medium' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 61.0 | reasoning |
| arc agi v1 semi private | 73%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'xhigh' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 73.0 | reasoning |
| arc agi v2 public eval | 31.9%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 31.9 | reasoning |
| arc agi v2 public eval | 0.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 0.8 | reasoning |
| arc agi v2 public eval | 61.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-luna-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 61.8 | reasoning |
| arc agi v2 public eval | 19.2%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'medium' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 19.2 | reasoning |
| arc agi v2 public eval | 35.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'xhigh' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 35.1 | reasoning |
| arc agi v2 semi private | 31.4%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 31.4 | reasoning |
| arc agi v2 semi private | 4.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 4.6 | reasoning |
| arc agi v2 semi private | 59.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-luna-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 59.3 | reasoning |
| arc agi v2 semi private | 18.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'medium' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 18.1 | reasoning |
| arc agi v2 semi private | 41.9%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'xhigh' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 41.9 | reasoning |
| arc agi v3 semi private | 0.2%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 0.2 | reasoning |
| arc agi v3 semi private | 0.0%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 0.0 | reasoning |
| arc agi v3 semi private | 0.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-luna-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 0.1 | reasoning |
| arc agi v3 semi private | 0.2%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'medium' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 0.2 | reasoning |
| arc agi v3 semi private | 0.2%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'xhigh' reasoning effort using the standard harness. [variant] openai-gpt-6-luna-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 0.2 | reasoning |
| frontiermath tier 4 v2 | 56.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Sep 22, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 56.1 | math |
| frontiermath tiers 1 3 v2 | 78.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Sep 22, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 78.9 | math |
| gpqa diamond | 90.5%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Sep 22, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 90.5 | reasoning |
| livebench coding code completion 2026_06_25 | 80.4%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 80.4 | coding |
| livebench coding code generation 2026_06_25 | 77.5%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 77.5 | coding |
| livebench coding javascript 2026_06_25 | 63.6%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 63.6 | coding |
| livebench coding python 2026_06_25 | 50%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 50.0 | coding |
| livebench coding typescript 2026_06_25 | 40%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 40.0 | coding |
| livebench math amps hard 2026_06_25 | 98%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 98.0 | math |
| livebench math integrals with game 2026_06_25 | 74%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 74.0 | math |
| livebench math math comp 2026_06_25 | 94.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 94.1 | math |
| livebench math olympiad 2026_06_25 | 90.4%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 90.4 | math |
| livebench math simplify 2026_06_25 | 55.4%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 55.4 | math |
| livebench reasoning connections 2026_06_25 | 100%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 100.0 | reasoning |
| livebench reasoning consecutive events 2026_06_25 | 70.5%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 70.5 | reasoning |
| livebench reasoning logic with navigation 2026_06_25 | 62%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 62.0 | reasoning |
| livebench reasoning spatial 2026_06_25 | 96%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 96.0 | reasoning |
| livebench reasoning theory of mind 2026_06_25 | 73.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 73.1 | reasoning |
| livebench reasoning zebra puzzle 2026_06_25 | 96%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 96.0 | reasoning |
| lmarena text | 1391.5 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 2, 2026
Retrieved Oct 8, 2026 · CC-BY-4.0 Open source ↗ | 72.3 | preference |
| otis mock aime 2024 2025 | 98.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Sep 22, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 98.9 | math |
| terminal bench v4 0 | 16.4%Terminal-BenchTerminal-Bench 4.0; published harness submission, 95% CI retained at source [variant] Codex; maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · Apache-2.0; factual citation Open source ↗ | 16.4 | coding |
Normalization uses fixed absolute 0–100 scales for each unit, independently of other models that have a result on each benchmark. Coverage and evidence breadth still affect the composite; compare the evaluation conditions before reading a small score gap as decisive. “lab-reported” marks the provider's own published figure.
Sources: in and pending
in Reported (5)
- ARC Prize · arrived Oct 8, 2026
- Epoch AI Benchmarking · arrived Oct 8, 2026
- LiveBench · arrived Oct 8, 2026
- LMArena / Arena · arrived Oct 8, 2026
- Terminal-Bench · arrived Oct 8, 2026
pending Awaiting (2)
- Humanity’s Last Exam · carries 13% of expected weight
- Official model cards via models.dev · carries 4% of expected weight
The confidence % rises as pending sources publish. Some sources never cover some models — that is why 100% confidence arrives at 80% of expected weight, not at full coverage.