ARC-AGI-2
59.5%
Retrieved September 2, 2026
ARC PrizeLanguage modelActive
GPT-5.6 Luna
OpenAI
- Released
- June 26, 2026
- Data date
- August 11, 2026
Category view
Position within the category
This overview uses only published data from matching cohorts. Missing values never change a rank.
The index averages rank percentiles from 4 documented comparison cohorts. Only models with complete coverage receive a position.
- Position
- Rank 8 of 26
- Index score
- 66.8 / 100
- Coverage
- 4 / 4
Leaderboard
1Claude Opus 588.9 / 100
2Gemini 3.8 Flash88.5 / 100
3Claude Fable 583.2 / 100
7Grok 4.670.2 / 100
8GPT-5.6 Luna, Current model66.8 / 100
9Gemini 3.6 Flash63 / 100
25MiMo-V2.5-Pro12.5 / 100
Measurements
Comparable benchmark results
Each chart contains exactly one source, one measurement series, and one stored comparison cohort. Bars show the position. The measured value appears on the right.
BrowseComp
83.3% · Rank 5 of 5
Comparison cohort: browsecomp-openai-gpt-5-6-table · Data date: September 2, 2026
1.Claude Mythos 588%
2.GPT-5.6 Terra87.5%
3.Gemini 3.1 Pro Preview85.9%
4.GPT-5.584.4%
5.GPT-5.6 Luna, Current model83.3%
5 of 5 model versions shown in this chart. A higher value ranks first.
Cross-vendor comparison table with browsing tools. Exact agent systems differ.
Editorial selection from the vendor table, not a complete extract of the comparison cohort.
Source: OpenAIParticipants: 5
SWE-Bench Pro
62.7% · Rank 5 of 5
Comparison cohort: swe-pro-openai-gpt-5-6-release · Data date: September 2, 2026
1.Claude Mythos 580.3%
2.Claude Fable 580%
3.GPT-5.6 Sol64.6%
4.GPT-5.6 Terra63.4%
5.GPT-5.6 Luna, Current model62.7%
5 of 5 model versions shown in this chart. A higher value ranks first.
Comparison table published by OpenAI. Not a Gradually test.
After an audit, OpenAI estimates that about 30% of the public tasks are broken. The result therefore remains a disputed secondary signal. The rows are an editorial selection from the respective comparison table.
Source: OpenAIParticipants: 5
Individual values
Published individual values
No exactly matching published comparison cohort is available for these values. The bar shows only the documented scale, not a rank.
ARC-AGI-3
Task: RHAE overall score · Data date: August 26, 2026
ARC-AGI-30.18%
Scale 0 to 100. Not ranked
Official ARC Prize harness on unseen interactive environments. Reasoning levels remain separate.
Profile
Specifications and access
Published information about this model. Unknown values are not estimated.
- Model type
- ProprietarySource
- Context window
- 1,050,000 tokensSource
- Knowledge cutoff
- February 16, 2026Source
- Notes
- Fast and cheapest tier of the GPT-5.6 family. Generally available from 2026-07-09. Effort-selectable on ChatGPT Work and Codex for Plus, Pro, Business, and Enterprise users. $1 input / $6 output per 1M tokens. Terminal-Bench 2.1 84.3%.Source
Pricing
Published prices
Prices remain tied to their documented unit and source.
- API input
- $0.2 per 1M tokensSource
- API input
- $0.4 per 1M tokens (above 272,000 context tokens)Source
- API output
- $1.2 per 1M tokensSource
- API output
- $1.8 per 1M tokens (above 272,000 context tokens)Source
- Cache write
- $0.25 per 1M tokensSource
- Cache write
- $0.5 per 1M tokens (above 272,000 context tokens)Source
- Cache read
- $0.02 per 1M tokensSource
- Cache read
- $0.04 per 1M tokens (above 272,000 context tokens)Source
Measurements
Other published benchmarks
The stored dataset does not contain an exactly matching comparison cohort for these values.
Head-to-head comparisons
Compare this model
Each matchup compares this model with exactly one other model from the same category.
More models
Models from the same selection
All AI models
Evidence
Primary sources and data date
Every statement links to its underlying documentation or leaderboard.