A model in the suite · SpaceXAI

Grok 4.6

SpaceXAI · Grok · Grok 4.6 / high reasoning effort (xAI documented default) / Suite 2.0 API harness · 2026-08-16

74/100
Strict suite averageNo legacy score · 4 benchmarks

Grok 4.6 / high reasoning effort (xAI documented default) / Suite 2.0 API harness

No transcript compaction

This run kept the entire transcript in context on every turn, with nothing evicted, so usable context shrank as the run progressed. Models with smaller context windows are disadvantaged under this policy. Compaction was added to the harness on 2026-08-16; results marked “compaction enabled” are not directly comparable on this dimension.

Copies Grok 4.6's full data pack — paste it into ChatGPT, Claude, or any AI to talk it through.

How Grok 4.6 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.

93
Near Mastery

Grok 4.6 produced an excellent, near-mastery Dingo & Co. knowledge-work package. It completed the full artifact set, used real formats, handled the absurd/legal/ethical traps with unusually mature judgment, and delivered coherent strategy, copy, personas, workbooks, and a clean rendered dashboard. The main strict-score deductions are for quantitative drift in TAM hardware revenue math and the absence of independent source-verification evidence for the many external research claims.

OverlayDownload radar
Instr. FollowingArtifact ValiditySource IntegrityResearch GroundingSemantic JudgmentQuant. Reas.Visual StorytellingUX ReviewabilityProd. ReadinessSpeedSpatial Reas.
1GPT-5.6 Sol93
2Grok 4.693
3Kimi K392
4Grok 4.591
5GPT-5.6 Luna90
6Qwen3.8 27B89
7GPT-5.6 Terra88
8GLM 5.2 (OpenRouter)88
9Claude Opus 586
10Claude Fable 581
11Claude Sonnet 5 (xhigh)81
12Claude Opus 4.880
13GPT-5.578
14Gemini 3.5 Flash (High) Fast62
15Opus 4.754
16Sonnet 4.652
17Gemini 3.1 Pro38

What it nailed

  • Complete artifact set in real requested formats, with manifest, assumptions, sources, screenshots, and supporting assets.
  • Excellent handling of the benchmark’s central traps: dingo/litter-box mismatch, Alaska versus Australia, NCI-created demand, permit ambiguity, ethics, support-language liability, and fictional competitors.
  • Strong strategic package with staged budget gates, channel-specific posture, investor FAQ, retail-safe copy, and serious risk controls.
  • Clean visual dashboard according to independent rendered review, with source imagery, readable charts, and responsive mobile behavior.
  • Copywriting is unusually well calibrated across formal, casual, executive, playful, deadpan, and luxury tones.

Where it slipped

  • TAM and 5-year hardware revenue math drifts across assumptions, deck, dashboard, and workbook formulas, even though the qualitative conclusion is consistent.
  • Research sources are extensive and plausible, but the supplied validation evidence does not include an independent source-verification audit.
  • Some regulatory/pricing citations rely on secondary or commercial mirrors where official sources would be preferable before external publication.
  • The package is internally production-ready, but legal/regulatory claims still require counsel review before public use, as the artifacts themselves correctly acknowledge.
Wall clock 25m 11s

From the run

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.

84
Excellent

Excellent audit package with a strong SQLite warehouse, provenance layer, review UI, and conservative handling of many structured obstacles. It is not near-production autonomous because image contents are not OCR-extracted, some planted canaries are only indirectly evidenced, and department/role normalization plus possible over-splitting need human review.

OverlayDownload radar
Instr. FollowingArtifact ValiditySource IntegritySemantic JudgmentQuant. Reas.UX ReviewabilityProd. ReadinessSpeed
1Claude Fable 588
2Claude Opus 4.886
3Grok 4.684
4Qwen3.8 27B77
5Claude Opus 575
6Kimi K365
7Claude Sonnet 5 (xhigh)64
8GPT-5.6 Sol55
9GPT-5.6 Terra55
10GPT-5.555
11GPT-5.6 Luna55
12Grok 4.555
13GLM 5.2 (OpenRouter)55
14Gemini 3.5 Flash (High) Fast51
15GPT-5.451
16Opus 4.748

What it nailed

  • Produces a real, openable SQLite warehouse with a broad normalized schema and review tables.
  • Strong provenance architecture linking canonical records back to source records/files.
  • Handles major structured canaries including SVC-007 collision, corrupted JSON recovery, duplicate image hashing, sensitive-file skip, and visible customer conflicts.
  • Static reviewer UI is well organized and mostly polished, with useful search/filter/detail workflows.
  • Documentation is unusually honest about tradeoffs and avoids claiming production readiness.

Where it slipped

  • No OCR: handwritten receipt and whiteboard image contents are not semantically extracted, so several planted image-specific customers, price conflicts, and schedule/date issues remain only queued.
  • Department/role-code normalization is not clearly represented in the canonical job schema.
  • Several canary passes are model-authored claims in the canaries table rather than independently validated evidence.
  • Final customer/job/service counts suggest possible over-splitting or extra promoted entities that would need human audit.
  • Minor mobile UI navigation clipping was observed by one visual judge.
Wall clock 31m 12s

From the run

Brick — The AI LEGO Build

63
Competent Scaffold

Equal-weight mean of four isolated Brick case scores: 100-piece-lunar-rover=72.5, 250-piece-rescue-helicopter=50, 500-piece-cyberpunk-food-stall=55, 1000-piece-airship-research-station=74 -> 62.88.

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
4Claude Opus 572
5Kimi K368
6Grok 4.663
7GPT-5.6 Sol59
8Gemini 3.5 Flash (High) Fast56
9Grok 4.555
10GPT-5.6 Terra54
11GPT-5.6 Luna50
12GLM 5.2 (OpenRouter)50

What it nailed

  • [100-piece-lunar-rover] Required isolated-case artifact is present and runnable enough to produce desktop and mobile renders.
  • [100-piece-lunar-rover] Parsed kitSpec contains exactly 100 parts, matching the declared 100-piece target.
  • [100-piece-lunar-rover] The completed rover is visually recognizable and detailed, with brick studs, wheels, transparent cabin, and clean instructional UI.
  • [100-piece-lunar-rover] The guide includes a structured multi-step assembly flow and the expected playback/review controls.
  • [250-piece-rescue-helicopter] Delivered the required isolated case artifact at artifacts/index.html plus a separate kitSpec.json.
  • [250-piece-rescue-helicopter] Exact 250-piece declared and measured spec, with a structured kitSpec and chaptered 58-step assembly guide.
  • [250-piece-rescue-helicopter] Strong source-of-truth architecture: parts, step text, manifest-style data, and viewer code are centered on the kitSpec.
  • [250-piece-rescue-helicopter] Clean UI shell with readable instruction cards, chapter panel, and obvious transport controls.
  • [250-piece-rescue-helicopter] The kit concept includes the expected rescue-helicopter elements in the spec.
  • [500-piece-cyberpunk-food-stall] Exact 500-piece structured kit data was present and parseable.
  • [500-piece-cyberpunk-food-stall] Mechanical connectivity is comparatively strong: floating_fraction 0.076 with a 434-part largest component.
  • [500-piece-cyberpunk-food-stall] The artifact includes a full browser UI with instruction panel, chapter navigation, playback controls, speed, scrubber, and show-complete controls.
  • [500-piece-cyberpunk-food-stall] The concept and part data clearly target a cyberpunk street-food stall with appropriate themed elements.
  • [1000-piece-airship-research-station] Required isolated-case artifact artifacts/index.html is present and self-contained with an inline kitSpec.
  • [1000-piece-airship-research-station] Declared and extracted piece counts match at 1007 pieces, with a detailed 213-step assembly guide.
  • [1000-piece-airship-research-station] Completed visual render is rich and recognizable as an airship research station/dock, with visible studs and recording-friendly UI.
  • [1000-piece-airship-research-station] The guide includes the expected review controls and a parts-list interface.

Where it slipped

  • [100-piece-lunar-rover] Authoritative connectivity validation finds 20% of parts floating under strict stud-coupling rules.
  • [100-piece-lunar-rover] The model decomposes into 17 mechanical components, with only 35 parts in the largest component.
  • [100-piece-lunar-rover] near_miss_count=369 is high for a 100-piece build and indicates many approximate contacts rather than precise stud engagement.
  • [100-piece-lunar-rover] Mobile completed framing is somewhat cramped/cropped.
  • [100-piece-lunar-rover] Full independent verification of every interactive control was not provided.
  • [250-piece-rescue-helicopter] Mechanical buildability is poor under the authoritative strict validator: 38% of pieces are floating and the build splits into 61 components.
  • [250-piece-rescue-helicopter] The completed-build visual failed in operator screenshots; the required helicopter was absent from completed desktop and mobile captures.
  • [250-piece-rescue-helicopter] High near_miss_count shows many parts were placed approximately rather than engaged on a valid stud grid.
  • [250-piece-rescue-helicopter] Final hero orbit/show-complete workflow cannot be trusted from the rendered evidence.
  • [250-piece-rescue-helicopter] Some strong validation/control claims are uncorroborated or contradicted by independent rendered evidence.
  • [500-piece-cyberpunk-food-stall] Primary completed-state visual evidence is blocking: the finished stall is not shown, only the initial foundation step.
  • [500-piece-cyberpunk-food-stall] The show-complete/completed-review path appears broken or at least not independently verified as working.
  • [500-piece-cyberpunk-food-stall] 38 parts are measured as floating and the build is split into 42 components.
  • [500-piece-cyberpunk-food-stall] near_miss_count=3152 indicates many approximate placements rather than clean stud engagement.
  • [1000-piece-airship-research-station] Mechanical validation finds 263 floating parts and a 0.2612 floating_fraction, preventing high physical-buildability credit.
  • [1000-piece-airship-research-station] 177 measured components and 5924 near misses indicate many pieces are approximately placed rather than strictly stud-coupled.
  • [1000-piece-airship-research-station] Some subassemblies may be visually close but not physically attached under the strict connector metric.
  • [1000-piece-airship-research-station] Mobile completed framing is close-cropped, and one judge observed a non-initial state appearing at Step 213/213.
Operator Blocking DefectSevere Physical ImplausibilityOperator Blocking Defect
Wall clock 1h 27m 21s

From the run

Artemis II Mission Visualization

55
Interesting but Unreliable

A broad, research-heavy Artemis II package with a real interactive 3D visualization and strong mission coverage, but the primary visualization has multiple operator-confirmed major visual/readability/framing defects. Under Rubric v2, those defects cap the strict score at 55 despite otherwise solid research and deliverable completeness.

OverlayDownload radar
Instr. FollowingArtifact ValiditySource IntegrityResearch GroundingSemantic JudgmentQuant. Reas.Spatial Reas.Visual StorytellingUX ReviewabilityProd. ReadinessSpeed
1Claude Opus 589
2GPT-5.6 Sol89
3GPT-5.6 Luna87
4Claude Fable 586
5GPT-5.6 Terra86
6Kimi K383
7GPT-5.579
8Grok 4.579
9Claude Opus 4.876
10Claude Sonnet 5 (xhigh)71
11Opus 4.760
12GLM 5.2 (OpenRouter)58
13Qwen3.8 27B55
14Grok 4.655
15Gemini 3.5 Flash (High) Fast54

What it nailed

  • Complete artifact set with fact sheet, source notes, visualization, documentation, screenshots, and recording helper pages.
  • Strong mission-specific coverage of crew, vehicle, timeline, free-return flyby, TLI, reentry, splashdown, and recovery.
  • Good citation discipline within the artifact: primary vs secondary sources are separated and reconstructed visualization values are labeled.
  • Interactive visualization is nonblank and includes scrubber, controls, HUD, phase cards, and meaningful scene/state changes.

Where it slipped

  • Operator-confirmed major visual defects on the primary visualization trigger the v2 hard cap.
  • Mobile presentation has overlapping HUD/header text and loses the central 3D vehicle subject.
  • Desktop launch-vehicle framing is clipped near the top edge.
  • Source support was not independently URL/content-validated in the provided validation evidence.
  • The visualization depends on external CDN modules for Three.js rather than being fully self-contained.
Operator Major Primary ArtifactOperator Multiple Major DefectsMajor UI Readability Defect
Wall clock 20m 47s

From the run