A model in the suite · SpaceXAI

Grok 4.5

SpaceXAI · Grok · Grok 4.5 / high reasoning effort (xAI default and max) / Suite 2.0 API harness · 2026-07-10

70/100
Strict suite averageNo legacy score · 4 benchmarks

Grok 4.5 / high reasoning effort (xAI default and max) / 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 4.5's full data pack — paste it into ChatGPT, Claude, or any AI to talk it through.

How Grok 4.5 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.

91
Near Mastery

Grok 4.5 produced an unusually complete and strategically mature Dingo & Co. work package. It did not just fill files; it reconciled contradictions, handled the dingo/import/legal absurdity with serious judgment, maintained consistent planning assumptions, and delivered usable board, GTM, risk, copy, workbook, and dashboard artifacts. The main remaining weaknesses are uneven official regulatory sourcing in some jurisdictions, limited depth in CAC/LTV and unit-economics modeling, and the need for final legal/visual QA beyond the independently reviewed dashboard. Overall, this is a near-mastery result with no caps applied.

OverlayDownload radar
Instr. FollowingArtifact ValiditySource IntegrityResearch GroundingSemantic JudgmentQuant. Reas.Visual StorytellingUX ReviewabilityProd. ReadinessSpeedSpatial Reas.
1GPT-5.6 Sol93
2Grok 4.693
3Kimi K392
4Ox Alpha92
5Grok 4.591
6GPT-5.6 Luna90
7Qwen3.8 27B89
8GPT-5.6 Terra88
9GLM 5.2 (OpenRouter)88
10Claude Opus 586
11Claude Fable 581
12Claude Sonnet 5 (xhigh)81
13Claude Opus 4.880
14GPT-5.578
15Gemini 3.5 Flash (High) Fast62
16Opus 4.754
17Sonnet 4.652
18Gemini 3.1 Pro38

What it nailed

  • Complete required artifact set with real DOCX/PPTX/XLSX/PDF/HTML outputs.
  • Excellent handling of the benchmark's central absurdities: dingo behavior, Alaska/Australia mismatch, import-market creation, legal ambiguity, ethics, and support-language liability.
  • Very strong cross-document consistency around pricing, launch timing, revenue baseline, budget posture, and legal disclaimers.
  • High-quality copy calibration across press, blog, LinkedIn, landing page, Slack, and three announcement styles.
  • Dashboard independently rendered cleanly on desktop and mobile with no operator-reported visual defects.

Where it slipped

  • Regulatory research is broad but not uniformly official/current for every required jurisdiction; BC, Ontario, and Oregon rely more on secondary or consumer-facing sources.
  • CAC/LTV and unit economics are discussed intelligently but not modeled in depth.
  • Some spreadsheet formulas and total-cost labels are simplified or mildly ambiguous.
  • Several claims about deck/PDF image use and media count are supported by file presence, large artifact sizes, screenshots, and manifests, but not by a full independent media-count parse in the supplied evidence.
  • The package is board-ready as a draft, but legal counsel review and real production/beta validation remain necessary before external launch.
Wall clock 10m 5s

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 broad, runnable migration package with a real database, provenance scaffolding, docs, and a usable UI, but it fails several central planted canaries. The SVC-007 conflict, price eras, truncated JSON, and sensitive bait are handled, yet entity resolution, orphan/ghost quarantine, department semantics, and multimodal extraction are too unreliable for autonomous migration use. The benchmark-specific missed-primary-canaries cap limits the strict score to 55.

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
14Ox Alpha54
15Gemini 3.5 Flash (High) Fast51
16GPT-5.451
17Opus 4.748

What it nailed

  • Required artifacts are present: migration script, openable SQLite database, report/design docs, and static UI.
  • Good source inventory/provenance scaffolding with source_files, source_records, conflicts, rejected, and flagged_review tables.
  • Correctly preserves the SVC-007/The Works conflict and retains 2024 vs 2025 service price eras.
  • Handles credential-like bait safely by skipping passwords.txt.
  • Frontend renders cleanly on desktop and provides useful search/filter/review views.

Where it slipped

  • Fails core entity-resolution traps: a planted typo such as Angela Doughrty remains a separate customer from Angela Dougherty.
  • Customer count is heavily inflated, with one-word and low-information invoice names promoted to canonical customers.
  • No observed department/role-code normalization despite DETAIL/DET/WASH/WSH/FLEET/FLT being a primary planted canary.
  • Ghost/test and orphan handling are not trustworthy; the report/UI only show superficial evidence of test rejection and do not clearly surface Terrence Blackwood.
  • No OCR/transcription of handwritten receipt and whiteboard images, so many multimodal planted conflicts/orphans are only manual-review stubs.
  • The UI/dashboard overclaims canary success, which is dangerous for reviewer trust.
Misses Three Or More Primary Canaries
Wall clock 7m 10s

Brick — The AI LEGO Build

55
Interesting But Unreliable

Equal-weight mean of four isolated Brick case scores: 100-piece-lunar-rover=60, 250-piece-rescue-helicopter=59, 500-piece-cyberpunk-food-stall=58, 1000-piece-airship-research-station=44.5 -> 55.38.

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
10Ox Alpha54
11GPT-5.6 Terra54
12GPT-5.6 Luna50
13GLM 5.2 (OpenRouter)50

What it nailed

  • [100-piece-lunar-rover] Required isolated-case artifact index.html is present and renders.
  • [100-piece-lunar-rover] Primary kitSpec/index data declares and measures at 101 pieces, within the requested 100-piece range.
  • [100-piece-lunar-rover] Clear 21-step instructional structure with reasonable batches and visible on-screen instruction text.
  • [100-piece-lunar-rover] Good visual rover silhouette with wheels, studs, cockpit/windshield, antenna/rack, sensors, and sample container.
  • [100-piece-lunar-rover] Includes the required playback, step navigation, speed, scrubber, complete/reset, and orbit-style review controls.
  • [250-piece-rescue-helicopter] Complete required case artifact was produced, with both index.html and a structured kitSpec.json.
  • [250-piece-rescue-helicopter] The visualizer renders a recognizable rescue helicopter with studs, rotors, cockpit glass, landing pad, and usable assembly-guide controls.
  • [250-piece-rescue-helicopter] Declared and measured part counts agree at 253 parts, close to the requested 250-piece target.
  • [250-piece-rescue-helicopter] The UI includes the main playback and review affordances expected for the benchmark.
  • [500-piece-cyberpunk-food-stall] Delivered the required isolated-case artifact, artifacts/index.html, plus supporting kitSpec.json, manifest, README, and screenshots.
  • [500-piece-cyberpunk-food-stall] Exact 500 measured parts, matching the declared count and the 500-piece case target.
  • [500-piece-cyberpunk-food-stall] Attractive cyberpunk food-stall concept with neon palette, counter, cooking interior, signage, lights, roof/awning, accessories, and scooter.
  • [500-piece-cyberpunk-food-stall] Rich browser guide with timeline, step navigation, playback speed, complete view, chapter list, roof toggle, orbit controls, and instruction panel.
  • [500-piece-cyberpunk-food-stall] Visual review found the artifact renders successfully on desktop and mobile with usable controls.
  • [1000-piece-airship-research-station] Delivered the required isolated-case index.html plus a separate kitSpec.json.
  • [1000-piece-airship-research-station] Validator extracted a full 950-part structured kitSpec, within the requested range.
  • [1000-piece-airship-research-station] Includes a substantial animated Three.js assembly guide with timeline, step controls, speed control, complete view, chaptering, orbit controls, highlights, and hero-orbit-style features.
  • [1000-piece-airship-research-station] Concept coverage is broad and recognizable: mountaintop research station, docking gantry, airship envelope, gondola, propellers, cargo pod, and scientific instruments.

Where it slipped

  • [100-piece-lunar-rover] Authoritative strict connectivity validation shows severe buildability failure: 57 of 101 parts floating.
  • [100-piece-lunar-rover] Largest strict connected component is only 30 parts, so the completed kit is not a reliable real brick build.
  • [100-piece-lunar-rover] near_miss_count=484 indicates many pieces were approximately placed rather than precisely stud-coupled.
  • [100-piece-lunar-rover] Minor mobile visual defects: cramped/overlapping header text and close-cropped completed view with panels obscuring the model.
  • [100-piece-lunar-rover] Self-check/buildability claims are not independent evidence and are contradicted by measured strict connectivity.
  • [250-piece-rescue-helicopter] Mechanical buildability is the central failure: 59.29% of parts are floating under strict stud coupling.
  • [250-piece-rescue-helicopter] The model is fragmented into 96 connected components, so it is not a trustworthy interlocking-brick kit despite looking coherent.
  • [250-piece-rescue-helicopter] The very high near_miss_count indicates approximate placement rather than precise stud-grid engagement.
  • [250-piece-rescue-helicopter] Mobile review has minor but visible crowding/overlap, and completed views are close-cropped.
  • [500-piece-cyberpunk-food-stall] Mechanical validation found 57.4% of parts floating under strict stud coupling, so the model is not reliably buildable.
  • [500-piece-cyberpunk-food-stall] The kit has 292 disconnected components and only an 80-piece largest component, indicating fragmented physical structure.
  • [500-piece-cyberpunk-food-stall] 2704 near misses show substantial approximate spatial placement rather than precise stud-grid engagement.
  • [500-piece-cyberpunk-food-stall] Dense transparent final detailing makes some geometry hard to read, and mobile completed views are tightly framed/partly obscured.
  • [500-piece-cyberpunk-food-stall] Self-reported validation and physical-plausibility claims are not independent evidence and are contradicted by the measured connectivity result.
  • [1000-piece-airship-research-station] Authoritative connectivity measurement shows structural collapse: 74.63% of parts are floating under strict stud coupling.
  • [1000-piece-airship-research-station] The high near_miss_count indicates approximate visual placement rather than reliable stud-grid engagement.
  • [1000-piece-airship-research-station] Operator visual review found major completed-state trust problems: floating pieces, chaotic overlapping/colliding-looking massing, and mobile overlay clutter.
  • [1000-piece-airship-research-station] Build data includes contradictory self-check claims about the actual piece count and uncorroborated claims of physical plausibility.
  • [1000-piece-airship-research-station] The build sequence is visually organized but cannot be trusted as mechanically buildable because so many parts are disconnected.
Severe Physical ImplausibilitySevere Physical ImplausibilitySevere Physical ImplausibilityMeasured Structural CollapseOperator Major Primary ArtifactOperator Multiple Major DefectsSevere Physical ImplausibilityMajor UI Readability Defect
Wall clock 23m 52s

Artemis II Mission Visualization

79
Strong

A strong, complete Artemis II visualization package with substantial mission coverage, an interactive Three.js timeline, and good documentation. It falls short of excellent/publication-grade because source support for detailed post-flight claims is not independently verified, citation traceability is uneven, and rendered review found minor but noticeable visual and responsive polish defects.

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
11Ox Alpha60
12Opus 4.760
13GLM 5.2 (OpenRouter)58
14Qwen3.8 27B55
15Grok 4.655
16Gemini 3.5 Flash (High) Fast54

What it nailed

  • Complete artifact package with fact sheet, source list, interactive visualization, documentation, beat pages, and screenshots.
  • Visualization is runnable and includes meaningful interaction: HUD, scrubber, play/pause, event stepping, camera presets, and keyboard controls.
  • Mission narrative is comprehensive and covers the main Artemis II beats from launch through recovery.
  • The fact sheet is detailed and includes useful caveats about reconstructed timing and cinematic visualization geometry.

Where it slipped

  • Important post-flight facts and anomaly claims are not independently validated in the provided packet and are not consistently tied to inline citations.
  • Some high-specificity engineering and post-flight details rely on secondary/Wikipedia synthesis or model-authored confidence notes.
  • Rendered visual review found minor but real defects: clipped stray desktop glyph, weak initial scene framing, no visible vehicle at initial state, and mobile header/status clipping.
  • Mobile presentation is usable but not polished enough for publication-grade responsive output.
  • The 3D geometry is cinematic rather than a precision trajectory visualization, and some mission beats are represented more by HUD text than by visually distinct scene changes.
Wall clock 6m 11s