A model in the suite · OpenAI

GPT-5.6 Luna

OpenAI · GPT · GPT-5.6 Luna / high reasoning effort / Suite 2.0 API harness · 2026-07-10

71/100
Strict suite averageNo legacy score · 4 benchmarks

GPT-5.6 Luna / high reasoning effort / Suite 2.0 API harness

Copies GPT-5.6 Luna's full data pack — paste it into ChatGPT, Claude, or any AI to talk it through.

How GPT-5.6 Luna handled each benchmark

Score, capability radar, and the honest read on what it nailed and where it slipped. Hit Overlay to drop other models onto the same axes.

Dingo & Co. Knowledge Work

A 23-deliverable consulting brief: research, financial reconciliation, regulatory analysis, decks and spreadsheets. Tests whether a model can run an entire knowledge-work engagement end to end.

90
Near Mastery

A near-mastery Dingo & Co. result: complete, polished, strategically coherent, and unusually good at the benchmark's legal/ethical/absurdity traps. It produces real formats, uses source imagery, keeps numbers mostly aligned, and avoids the dangerous 'we can get you legal' posture. The main deductions are for incomplete independent source verification, a missing explicit Texas source, limited detailed CAC/LTV modeling, and minor artifact-level rough edges rather than any core failure.

OverlayDownload radar
Instr. FollowingArtifact ValiditySource IntegrityResearch GroundingSemantic JudgmentQuant. Reas.Visual StorytellingUX ReviewabilityProd. ReadinessSpeed
1GPT-5.6 Sol93
2GPT-5.6 Luna90
3GPT-5.6 Terra88
4GLM 5.2 (OpenRouter)88
5Claude Fable 581
6Claude Sonnet 5 (xhigh)81
7Claude Opus 4.880
8GPT-5.578
9Gemini 3.5 Flash (High) Fast62
10Grok 4.555
11Opus 4.754
12Sonnet 4.652
13Gemini 3.1 Pro38

What it nailed

  • Complete multi-artifact work package with all required files and real artifact formats.
  • Excellent handling of the benchmark's central absurdities: dingo/litter-box fit, Alaska/Australia mismatch, import-created demand, exotic-animal law, welfare, and PR risk.
  • Consistent core assumptions across artifacts: $380k revenue, September 15 launch, October retail, $899/$799 pricing, staged budget, and legal caution.
  • Strong use of provided visual assets and a clean responsive dashboard with no operator-reported visual defects.
  • Copywriting is distinct by channel while preserving legal and ethical guardrails.

Where it slipped

  • External source verification is not independently measured in the provided evidence; the scoring relies on visible source lists and artifact content rather than live URL checks.
  • Texas appears in the jurisdiction matrix but does not have an explicit official Texas source listed in 00_sources.md.
  • Quantitative analysis is strong on reconciliation and caveats but lighter on detailed CAC/LTV and financial-model depth.
  • Deck metadata/content has a small inconsistency: the manifest calls it a 16-slide deck while extracted slide text shows 15 slides.
  • Some public-facing product performance claims still depend on beta or independent validation that the package itself correctly flags as unresolved.
Wall clock 11m 10s

Car Wash Operations

A filthy operational dataset — ghost records, orphaned orders, typo'd customers, raw enum variants. Tests judgment under messy real-world data: what gets fixed, quarantined, or wrongly promoted.

55
Interesting but Unreliable

A substantial and reviewable migration scaffold with strong inventory, a valid SQLite database, and a polished audit UI, but it fails core data-quality judgment. The package promotes ghost/test data, lacks corroborated handling for several planted canaries, and leaves major extraction gaps for PDFs, images, fuzzy typo matching, and department semantics. It is useful for inspection, not reliable for migration or operations without significant human repair.

OverlayDownload radar
Instr. FollowingArtifact ValiditySource IntegritySemantic JudgmentQuant. Reas.UX ReviewabilityProd. ReadinessSpeed
1Claude Fable 588
2Claude Opus 4.886
3Claude Sonnet 5 (xhigh)64
4GPT-5.6 Sol55
5GPT-5.6 Terra55
6GPT-5.555
7GPT-5.6 Luna55
8GLM 5.2 (OpenRouter)55
9Grok 4.555
10Gemini 3.5 Flash (High) Fast51
11GPT-5.451
12Opus 4.748

What it nailed

  • Complete required artifact set with an openable SQLite database, deterministic builder, documentation, static UI, and screenshots.
  • Strong file inventory with hashing, source status tracking, and explicit handling for sensitive/restricted paths.
  • Useful normalized schema and review architecture with source_files, source_records, conflicts, rejected_items, and review_items.
  • Clean, responsive reviewer UI with good audit-console layout and only a minor visual/data-format issue.
  • Honest documentation about partial JSON salvage, unresolved payment reconciliation, and no OCR claims.

Where it slipped

  • Promotes at least one ghost/test record into the canonical customer list.
  • Misses or fails to corroborate multiple primary canaries, including SVC-007 conflict detection, typo-order fuzzy merges, department-code normalization, and duplicate image handling.
  • Extraction coverage is materially incomplete: PDFs and handwritten receipts are mostly inventory-only, and jobs total 654 versus the hidden 1003-order dataset.
  • Entity resolution is mostly deterministic exact/email/phone/alias matching, not robust fuzzy matching for planted order-name typos.
  • Payment reconciliation remains unresolved, with many payments not linked to jobs and invoice-line evidence potentially duplicating explicit receipt exports.
Misses Three Or More Primary CanariesPromotes Ghost RecordsMissed Primary Canaries
Wall clock 9m 42s

Brick — The AI LEGO Build

50
Interesting But Unreliable

Equal-weight mean of four isolated Brick case scores: 100-piece-lunar-rover=52, 250-piece-rescue-helicopter=46, 500-piece-cyberpunk-food-stall=55, 1000-piece-airship-research-station=48 -> 50.25.

OverlayDownload radar
Instr. FollowingArtifact ValiditySource IntegritySemantic JudgmentQuant. Reas.Spatial Reas.Visual StorytellingUX ReviewabilityProd. ReadinessSpeed
1Claude Fable 588
2Claude Opus 4.882
3Claude Sonnet 5 (xhigh)78
4GPT-5.6 Sol59
5Gemini 3.5 Flash (High) Fast56
6GPT-5.6 Terra54
7GPT-5.6 Luna50
8GLM 5.2 (OpenRouter)50
9Grok 4.547

What it nailed

  • [100-piece-lunar-rover] Required isolated-case artifact was present and rendered.
  • [100-piece-lunar-rover] Inline kitSpec extracted successfully with exactly 100 parts.
  • [100-piece-lunar-rover] Readable animated-guide UI with manifest, step card, timeline, speed, step navigation, and complete-model control.
  • [100-piece-lunar-rover] Visual presentation is generally clear on desktop and recognizable as a lunar rover.
  • [250-piece-rescue-helicopter] Required isolated-case artifact artifacts/index.html is present and runnable.
  • [250-piece-rescue-helicopter] Runtime extraction found a structured inline kit spec with exactly 250 parts.
  • [250-piece-rescue-helicopter] The guide includes a polished dashboard, manifest snapshot, chapters, instruction text, timeline, speed control, step navigation, completion view, and orbit-style review controls.
  • [250-piece-rescue-helicopter] The conceptual build sequence covers expected rescue-helicopter features such as pad, skids, cockpit, tail boom, rotor systems, door, and winch.
  • [500-piece-cyberpunk-food-stall] Complete isolated-case artifact was provided as artifacts/index.html and rendered successfully.
  • [500-piece-cyberpunk-food-stall] Runtime kitSpec extraction found exactly 500 parts, matching the declared 500-piece requirement.
  • [500-piece-cyberpunk-food-stall] The guide has a substantial animated assembly UI with 100 steps, instruction text, manifest/spec tabs, scrubber, speed control, step navigation, completion view, and camera/orbit affordances.
  • [500-piece-cyberpunk-food-stall] The cyberpunk food-stall theme is visually recognizable, with neon signage, stall/counter structure, roof treatment, and scooter/accessory details.
  • [1000-piece-airship-research-station] Delivered the required isolated artifacts/index.html and it renders in browser viewports.
  • [1000-piece-airship-research-station] Exact 1000-piece runtime-extracted part count.
  • [1000-piece-airship-research-station] Clear high-level concept with airship, research station, gantry, balloon envelope, cargo pod, propellers, and scientific instruments.
  • [1000-piece-airship-research-station] Good sequencing scaffold: 200 steps, nine chapters, five parts per step, timeline and playback controls.
  • [1000-piece-airship-research-station] Substantial visual scene with lighting, camera controls, highlighting, and a completed-model view.

Where it slipped

  • [100-piece-lunar-rover] Core buildability fails: 72% of parts are floating under the authoritative strict connectivity metric.
  • [100-piece-lunar-rover] The model fragments into 59 components, with only a 26-part largest component.
  • [100-piece-lunar-rover] Near_miss_count of 824 indicates many pieces were placed approximately near contacts rather than actually engaged on the stud grid.
  • [100-piece-lunar-rover] Completed view shows visible gaps/floating layers, and mobile layout is cramped/cropped.
  • [250-piece-rescue-helicopter] Mechanical validation shows catastrophic buildability failure: 88% of parts float under strict stud-coupling.
  • [250-piece-rescue-helicopter] The completed model is split into 158 components, with only a 40-part largest component.
  • [250-piece-rescue-helicopter] High near_miss_count indicates imprecise spatial placement rather than true stud-grid engagement.
  • [250-piece-rescue-helicopter] Completed-state UI contradicts itself with 'STEP 50 / 48'.
  • [250-piece-rescue-helicopter] Operator visual review documents floating pieces and weak/poorly framed final presentation, especially on mobile.
  • [500-piece-cyberpunk-food-stall] Measured physical buildability is the core failure: 291 of 500 pieces are floating under strict stud coupling, with only a 24-piece largest connected component.
  • [500-piece-cyberpunk-food-stall] The 6720 near misses show approximate placement rather than reliable stud-grid engagement.
  • [500-piece-cyberpunk-food-stall] The final model is more of a polished visual scene than a mechanically trustworthy interlocking-brick kit.
  • [500-piece-cyberpunk-food-stall] Minor visual review issues include a glitchy base sliver, cluttered completed silhouette, tight/obscuring final framing, clipped mobile title/header area, and mobile controls falling below the first screenful.
  • [1000-piece-airship-research-station] Mechanical validator finds near-total structural collapse: 97% of parts are floating under strict stud-coupling rules.
  • [1000-piece-airship-research-station] Very high near-miss count shows spatial coordinates are approximate rather than physically engaged on a stud grid.
  • [1000-piece-airship-research-station] Build data claims/intent imply stable overlapping connections, but measured connectivity contradicts that.
  • [1000-piece-airship-research-station] Many instruction steps are generic and do not prove real interlocking assembly logic.
  • [1000-piece-airship-research-station] Major visual reviewability defects affect the completed desktop and mobile views, including cropping, clipped status UI, and text/model overlap.
Measured Structural CollapseSevere Physical ImplausibilityMeasured Structural CollapseOperator Major Primary ArtifactOperator Multiple Major DefectsSevere Physical ImplausibilitySevere Physical ImplausibilityMeasured Structural CollapseOperator Major Primary ArtifactOperator Multiple Major DefectsSevere Physical Implausibility
Wall clock 30m 34s

Artemis II Mission Visualization

87
Excellent

Excellent Artemis II package: complete deliverables, a polished runnable visualization, strong mission-beat coverage, and a detailed source-grounded fact sheet. It falls short of near-mastery because factual/source verification is not independently established, one velocity cue is quantitatively suspect, the trajectory is stylized rather than physically rigorous, and mobile framing has minor polish issues.

OverlayDownload radar
Instr. FollowingArtifact ValiditySource IntegrityResearch GroundingSemantic JudgmentQuant. Reas.Spatial Reas.Visual StorytellingUX ReviewabilityProd. ReadinessSpeed
1GPT-5.6 Sol89
2GPT-5.6 Luna87
3Claude Fable 586
4GPT-5.6 Terra86
5GPT-5.579
6Claude Opus 4.876
7Claude Sonnet 5 (xhigh)71
8Opus 4.760
9GLM 5.2 (OpenRouter)58
10Grok 4.555
11Gemini 3.5 Flash (High) Fast54

What it nailed

  • Complete, well-packaged artifact set with fact sheet, source register, interactive visualization, documentation, and screenshots.
  • Interactive Three.js scene renders successfully and includes meaningful controls, HUD state, source drawer, and 12 mission beats.
  • Strong mission storytelling that clearly distinguishes a crewed lunar flyby/systems test from a landing mission.
  • Polished desktop visual design suitable for screenshots or video b-roll with only minor operator-confirmed visual issues.

Where it slipped

  • Source URLs and post-flight claims were not independently verified; model-authored source registers cannot alone prove citation integrity.
  • At least one quantitative cue, the 60,863 mph lunar-flyby velocity, appears physically inconsistent with the stated trajectory context.
  • The visualization is explicitly compressed/stylized rather than a scale-accurate trajectory model.
  • Mobile presentation is readable but cramped, with cropped 3D framing and only part of the mission beat list visible in the captured viewport.
  • Depends on external CDN imports for Three.js rather than being fully self-contained/offline.
Wall clock 7m 2s