A model in the suite · OpenAI

GPT-5.6 Terra

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

71/100
Strict suite averageNo legacy score · 4 benchmarks

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

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

How GPT-5.6 Terra 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.

88
Excellent

This is an excellent Dingo & Co. run: complete, well grounded, visually clean in the dashboard, and especially strong on the benchmark’s central judgment traps around legality, ethics, import-created demand, and absurd premise management. It falls short of near-mastery because the primary deck has repeated filler-like bullets, the quantitative work remains partly illustrative, and legal/research claims would still need expert verification before production use.

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-format package with all required filenames and artifact types present.
  • Excellent handling of the benchmark’s core traps: dingoes as wild canids, Alaska/Australia mismatch, import-created demand, exotic-animal legality, ethics, and support-language liability.
  • Strong cross-document source-of-truth assumptions for revenue, launch timing, pricing, budget, import attach caveats, and market definition.
  • Credible use of provided visual assets in the deck, sales one-pager, and dashboard, with operator-confirmed clean dashboard rendering.
  • Public and internal copy is distinct, on-brand, and unusually careful about not glamorizing animal acquisition or making legal promises.

Where it slipped

  • The board deck contains repeated generic bullet content across several slides, which weakens a primary executive artifact.
  • Regulatory research is appropriately cautious but still relies in places on broad routing sources rather than definitive species-specific legal determinations.
  • Quantitative analysis reconciles headline contradictions but does not fully model CAC/LTV, hardware-only versus import-assisted economics, NPS, returns, or cohort economics.
  • Some artifact metadata is templated, and the manifest includes at least one questionable image reference not reflected in the asset inventory.
  • The package would still need legal, finance, quote-permission, and final editorial review before external release.
Wall clock 13m 22s

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

This is a strong-looking audit-package scaffold with an openable SQLite database, substantial source inventory, provenance tables, documentation, and a usable static UI. However, it fails central migration judgment: ghost/test quarantine, intended typo/name-variant merges, department-code handling, and broad extraction coverage are not reliable. Because multiple primary canaries are missed, the run is capped at 55 despite good operability and presentation.

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

  • Produces the required artifact set: openable SQLite database, migration script, documentation, static review UI, frontend payload, and screenshots.
  • Strong source-file inventory with hashes, processing states, and sensitivity classifications.
  • Useful normalized schema scaffold with source records, conflicts, review items, evidence, payments, job services, and customer aliases.
  • Detects some important non-primary issues, including truncated JSON, duplicate binary images, contact-field conflicts, partial payments, and some price variance.
  • Reviewer UI is visually coherent on desktop and mostly responsive, with canary/provenance/evidence views.

Where it slipped

  • Promotes at least one ghost/test record into active canonical customers instead of quarantine/review.
  • Fails planted entity-resolution traps: typo-order and nickname variants remain separate customers.
  • Extracts only 782 jobs versus the 1003-order planted universe and recovers no jobs/payments from the corrupted JSON backup.
  • Does not extract handwritten receipt/schedule image canaries as transaction/review facts; mostly indexes images as evidence.
  • No demonstrated department/role-code normalization and no corroborated detection of the DeShawn SVC-007 conflict.
  • Schema is normalized but lacks declared foreign-key constraints and clear job-to-source_record provenance links.
  • Minor mobile UX defect: the jobs/orders table clips horizontally on one rendered mobile review.
Misses Three Or More Primary CanariesMissed Primary CanariesPromotes Ghost Records
Wall clock 12m 29s

Brick — The AI LEGO Build

54
Interesting But Unreliable

Equal-weight mean of four isolated Brick case scores: 100-piece-lunar-rover=60, 250-piece-rescue-helicopter=54, 500-piece-cyberpunk-food-stall=58, 1000-piece-airship-research-station=43 -> 53.75.

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 index.html artifact is present and renders on desktop and mobile.
  • [100-piece-lunar-rover] Inline kitSpec successfully defines exactly 100 parts and is used to drive the manifest, steps, and scene.
  • [100-piece-lunar-rover] Instruction sequence is clear, evenly paced, and conceptually organized into chassis, cockpit, exploration, and finish phases.
  • [100-piece-lunar-rover] The completed model is recognizably a lunar rover with wheels, cockpit, tools, cargo, mast, and antenna.
  • [100-piece-lunar-rover] Review UI is relatively complete, with playback, step navigation, scrubber, speed control, kitSpec viewer, and orbit-camera affordances.
  • [250-piece-rescue-helicopter] Required isolated case artifact is present and renders.
  • [250-piece-rescue-helicopter] Runtime extraction found an exact 250-part spec.
  • [250-piece-rescue-helicopter] Clean, polished desktop UI with readable step list, instruction panel, manifest summary, controls, and kitSpec JSON access.
  • [250-piece-rescue-helicopter] Concept is recognizable as a rescue helicopter with pad, skids, fuselage, cockpit, tail, rescue gear, and rotors.
  • [250-piece-rescue-helicopter] Build sequence is organized into sensible chapters and small steps.
  • [500-piece-cyberpunk-food-stall] Complete isolated case artifact is present and renders.
  • [500-piece-cyberpunk-food-stall] Inline kitSpec is parseable and contains exactly 500 extracted parts.
  • [500-piece-cyberpunk-food-stall] The UI includes a full animated-guide control surface with timeline, playback, step navigation, manifest, and complete-model controls.
  • [500-piece-cyberpunk-food-stall] Desktop visual design is strong for the cyberpunk noodle-stall concept, with appealing neon styling and recognizable brick geometry.
  • [1000-piece-airship-research-station] Delivered the required isolated-case artifact as a runnable single-file HTML guide.
  • [1000-piece-airship-research-station] Embedded a machine-readable kitSpec that the validator could extract successfully.
  • [1000-piece-airship-research-station] Declared and actual extracted part counts both equal the requested 1000 pieces.
  • [1000-piece-airship-research-station] Provides a substantial assembly-guide interface with timeline, playback, step navigation, speed, manifest drawer, completion view, and camera/orbit affordances.
  • [1000-piece-airship-research-station] Desktop and mobile renders completed without page or console errors.

Where it slipped

  • [100-piece-lunar-rover] Mechanical buildability is the central failure: the authoritative validator found 44% of parts floating under strict stud-coupling rules.
  • [100-piece-lunar-rover] The 415 near misses indicate imprecise spatial arithmetic and approximate placement rather than reliable stud-grid engagement.
  • [100-piece-lunar-rover] Completed-state visuals have minor but real issues: overlapping/cluttered geometry, floating-looking translucent tiles, and cropped/tight framing.
  • [100-piece-lunar-rover] Because many parts are not strictly connected, the otherwise readable instructions cannot be trusted as a physically buildable kit.
  • [100-piece-lunar-rover] Self-reported validation notes were not independent evidence and did not offset measured connectivity failures.
  • [250-piece-rescue-helicopter] Authoritative connectivity validation shows catastrophic physical build failure: 86% of parts are floating.
  • [250-piece-rescue-helicopter] The completed model is split into 85 components, with only 108 parts in the largest component.
  • [250-piece-rescue-helicopter] 1539 near misses indicate approximate visual placement rather than strict interlocking-brick stud coupling.
  • [250-piece-rescue-helicopter] Final hero view looks somewhat exploded/loose, with visible gaps between bricks.
  • [250-piece-rescue-helicopter] Mobile completed view is cropped/tightly framed, reducing full-model inspection quality.
  • [500-piece-cyberpunk-food-stall] Authoritative connectivity validation shows 47.4% of parts are floating under strict stud-coupling rules.
  • [500-piece-cyberpunk-food-stall] The model breaks into 153 strict components, with only 163 parts in the largest connected component.
  • [500-piece-cyberpunk-food-stall] High near_miss_count indicates approximate spatial placement rather than precise interlocking-brick arithmetic.
  • [500-piece-cyberpunk-food-stall] Mobile visual review has clipped/obscured title text and overly tight completed-model cropping.
  • [500-piece-cyberpunk-food-stall] Self-reported validation claims are not independent evidence and are not enough to establish buildability.
  • [1000-piece-airship-research-station] Authoritative mechanical validation shows catastrophic buildability failure: 93% of parts are floating under strict stud coupling.
  • [1000-piece-airship-research-station] The model consists of hundreds of disconnected components with a very high near-miss count, indicating approximate placement rather than true interlocking-brick geometry.
  • [1000-piece-airship-research-station] The artifact's own validation/pass presentation is contradicted by measured connectivity.
  • [1000-piece-airship-research-station] Operator review found major primary-artifact visual defects, especially completed-state mismatch and poor desktop/mobile framing.
  • [1000-piece-airship-research-station] Mobile reviewability is substantially impaired by missing/omitted controls and close crops of the model.
Severe Physical ImplausibilityMeasured Structural CollapseSevere Physical ImplausibilitySevere Physical ImplausibilityMeasured Structural CollapseOperator Major Primary ArtifactOperator Multiple Major DefectsSevere Physical ImplausibilityMajor UI Readability Defect
Wall clock 26m 30s

Artemis II Mission Visualization

86
Excellent

Excellent Artemis II visualization package: complete, mission-specific, interactive, and visually strong on desktop, with broad event coverage and careful schematic caveats. It falls short of near-mastery because central research/source claims were not independently URL-validated in the provided evidence, and the mobile layout plus a small launch-pad clipping issue need polish before publication.

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-organized artifact package with fact sheet, source list, runnable visualization, documentation, and renders.
  • Strong mission-specific storytelling with a 12-beat interactive replay rather than a generic orbit scene.
  • Desktop visual presentation is polished and legible, with clear HUD, timeline, mission notes, and 3D context.
  • Good editorial caveats: the visualization labels the route as schematic and avoids claiming ephemeris or real-time telemetry.

Where it slipped

  • Source URLs and source-to-claim support were not independently validated by the provided evidence, so research accuracy cannot receive full publication-grade credit.
  • Mobile composition is crowded; information panels obscure/crop the 3D scene and later timeline milestones are not visible in the captured viewport.
  • Minor 3D clipping defect: rocket/exhaust intersects the launch platform disc.
  • CDN dependency and lack of independent functional interaction testing reduce production readiness.
Wall clock 10m 42s