A model in the suite · Stealth (anonymous)

Ox Alpha

Stealth (anonymous) · Ox · Ox Alpha (anonymous stealth preview) via OpenRouter / max reasoning effort (model default and ceiling; reasoning is mandatory) / streaming transport + harness Perplexity web-search accommodation / Suite 2.0 API harness · 2026-08-21

65/100
Strict suite averageNo legacy score · 4 benchmarks

Ox Alpha (anonymous stealth preview) via OpenRouter / max reasoning effort (model default and ceiling; reasoning is mandatory) / streaming transport + harness Perplexity web-search accommodation / 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 Ox Alpha's full data pack — paste it into ChatGPT, Claude, or any AI to talk it through.

How Ox Alpha 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.

92
Near Mastery

This is an excellent-to-near-mastery Dingo & Co. run. It completed the full work package in real formats, built a coherent source-of-truth across documents, handled the dingo/import/legal/ethics traps with unusually good judgment, and produced credible board, GTM, investor, dashboard, pricing, persona, and copy artifacts. The main deductions are not for benchmark misses but for strict-normalization caution: no independent live source verification is included in the scorer evidence, market sizing still relies on disclosed proxies, there are minor spreadsheet/date polish issues, and customer-facing materials still require counsel review before release.

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 artifact set with real DOCX, PPTX, XLSX, PDF, HTML, markdown, and manifest files.
  • Excellent handling of the benchmark's central absurdities: dingoes as nonstandard animals, Alaska/Australia mismatch, tiny market, import-created demand, exotic-animal law, support-language liability, and ethics.
  • Strong cross-document source-of-truth discipline around recognized revenue, units, price, launch dates, budget gates, TAM, and import-program posture.
  • Research file prioritizes official regulatory sources, covers all required jurisdictions, and correctly labels fictional competitors as scenario-only.
  • Dashboard passed rendered desktop and mobile visual review with no reported defects.
  • Copy variants are meaningfully differentiated while maintaining legal and ethical guardrails.

Where it slipped

  • Research claims are well cited in the artifacts, but the scorer prompt does not include an independent live URL verification pass, so perfect research credit is not warranted.
  • Some market-size and adjacent-segment inputs remain low-confidence proxy assumptions, albeit disclosed.
  • Minor cross-document date ambiguity appears around standard/general availability versus the Sept. 15 DTC and Oct. 6 retail external dates.
  • At least one extracted pricing-workbook analysis formula appears to reference the wrong cells for TCO comparison, suggesting small spreadsheet-polish issues.
  • Several external-facing assets appropriately require counsel review before publication, so they are not final public-ready copy without human signoff.
Wall clock 29m 4s

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.

54
Interesting but Unreliable

This is a large, impressive scaffold with a real SQLite database, substantial provenance tables, broad extraction attempts, and a strong static reviewer UI. However, it fails core migration trust requirements: several primary planted canaries are missed, duplicate source records are promoted into canonical orders and revenue, the The Works/SVC-007 conflict is semantically wrong, department normalization is absent, and documentation contradicts database evidence. It is useful for human inspection but unreliable as a normalized migration package.

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

  • Complete required artifact set with an openable SQLite database, generator script, reports, frontend data payloads, and screenshots.
  • Substantial audit/review schema with source records, conflicts, flagged items, rejected items, OCR evidence, and price history.
  • Good reviewer-facing static dashboard that renders cleanly on desktop and mobile with only a minor cosmetic clipping issue.
  • Useful normalization scaffolding for statuses, payment methods, dates, price eras, customer name variants, and service aliases.
  • Source inventory and sensitive-file treatment are thoughtfully represented, even though some claims are not independently verified.

Where it slipped

  • Benchmark-specific cap triggered by three or more primary canary failures: ghost/test quarantine, SVC-007/The Works conflict, and department-code normalization.
  • Canonical orders are not actually canonical: 2,876 jobs are loaded versus the obstacle-key order universe of about 1,003, with duplicates flagged but still promoted into the clean orders/revenue layer.
  • The service model incorrectly preserves The Works as a separate service bucket instead of resolving it to Full Detail Package/SVC-006 while keeping SVC-007 as Express Wash.
  • Customer merge audit is broken or unpopulated: customer_merges has zero rows despite duplicate-merge claims.
  • Multimodal handling is weak: OCR evidence is low confidence and misses or misreads important handwritten receipt details.
  • Documentation contains material internal contradictions around JSON recovery, merge counts, and test-data quarantine.
Misses Three Or More Primary Canaries
Wall clock 44m 35s

From the run

Brick — The AI LEGO Build

54
Interesting But Unreliable

Equal-weight mean of four isolated Brick case scores: 100-piece-lunar-rover=55.0, 250-piece-rescue-helicopter=51, 500-piece-cyberpunk-food-stall=55, 1000-piece-airship-research-station=55.0 -> 54.0.

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] Complete primary artifact exists and renders as a polished browser-based assembly guide.
  • [100-piece-lunar-rover] Structured 100-piece rover concept with IDs, step IDs, visible stud geometry, wheels, cockpit, equipment rack, lights, and sample container.
  • [100-piece-lunar-rover] Clean completed-state visual presentation with readable desktop and mobile UI and no operator-major visual defects for this isolated case.
  • [100-piece-lunar-rover] Instruction flow is sensibly chunked into 27 steps and 5 chapters.
  • [250-piece-rescue-helicopter] Complete required isolated-case artifact is present as artifacts/index.html, with kitSpec.json also provided.
  • [250-piece-rescue-helicopter] Exact 250-piece target and 53-step instruction structure are represented in machine-readable data.
  • [250-piece-rescue-helicopter] The rendered completed model is recognizable as a rescue helicopter with pad, rotors, cockpit, skids, winch, and rescue detailing.
  • [250-piece-rescue-helicopter] The browser guide is polished and largely reviewable, with the expected playback, scrubbing, step navigation, speed, completion, and camera controls.
  • [500-piece-cyberpunk-food-stall] Required isolated-case index.html is present, with a separate kitSpec.json also provided.
  • [500-piece-cyberpunk-food-stall] Substantial 501-piece structured kit spec with chapters, steps, part IDs, colors, positions, and dimensions.
  • [500-piece-cyberpunk-food-stall] Viewer appears source-driven from KITSPEC rather than a purely separate static illustration.
  • [500-piece-cyberpunk-food-stall] Completed model is recognizable as a cyberpunk food stall, with neon accents, signage, roof structure, cooking area, street base, and scooter.
  • [500-piece-cyberpunk-food-stall] Rich browser UI includes timeline, speed, step navigation, complete-model view, camera/view controls, and orbit interaction.
  • [1000-piece-airship-research-station] Delivers the required isolated case artifact, with a rich 974-piece airship research station and separate kitSpec.json.
  • [1000-piece-airship-research-station] Strong prompt adherence: recognizable mountaintop research station, docking gantry, airship envelope, gondola, cargo pod, propellers, and final docking scene.
  • [1000-piece-airship-research-station] Substantial structured build data with part IDs, dimensions, positions, rotations, chapters, and instruction steps.
  • [1000-piece-airship-research-station] Visually impressive completed model that operator review found legible and coherent on desktop.

Where it slipped

  • [100-piece-lunar-rover] Authoritative mechanical connectivity validation failed to measure any parts, so physical buildability is not proven.
  • [100-piece-lunar-rover] Self-reported 0-collision and 0-floating validation claims are uncorroborated and were not credited as independent evidence.
  • [100-piece-lunar-rover] The runtime kit spec was not extractable/serializable by the mechanical validator, reducing confidence in machine-readable source integrity.
  • [100-piece-lunar-rover] Step-0 appears visually blank until interaction in one operator review.
  • [100-piece-lunar-rover] Full interactive control behavior was not independently verified beyond rendered/deep-linked states.
  • [250-piece-rescue-helicopter] Authoritative connectivity measurement shows catastrophic physical buildability failure: 208 of 250 parts floating and 147 separate components.
  • [250-piece-rescue-helicopter] The artifact overclaims physical coherence/no floating geometry; those claims are contradicted by measured validation and receive no independent credit.
  • [250-piece-rescue-helicopter] High near_miss_count indicates the spatial data is visually approximate rather than accurately engaged to the stud grid.
  • [250-piece-rescue-helicopter] Minor rendered UI issues remain, including clipped/faded sidebar labels and cramped/cropped mobile framing.
  • [500-piece-cyberpunk-food-stall] Independent mechanical connectivity validation failed to extract any parts, leaving buildability unverified.
  • [500-piece-cyberpunk-food-stall] Large debug/status overlay remains visible over completed desktop and mobile renders.
  • [500-piece-cyberpunk-food-stall] Step-0/ready state is visually misleading because it shows a dense ghosted/full-scene mass.
  • [500-piece-cyberpunk-food-stall] Mobile completed view is crowded by overlay and stacked controls.
  • [500-piece-cyberpunk-food-stall] Self-reported generator validation cannot be credited as independent proof of no floating parts, collisions, or correct stud coupling.
  • [1000-piece-airship-research-station] Authoritative strict connectivity validation failed completely, leaving physical buildability unverified.
  • [1000-piece-airship-research-station] Several physical claims depend on self-authored validation notes/tooling rather than independent measurement.
  • [1000-piece-airship-research-station] The airship uses many rotated fabric/connector/decorative elements whose real stud-coupling and support are not proven.
  • [1000-piece-airship-research-station] Minor but real UI defects: overlapping chapter/play prompts and cramped/cropped mobile presentation.
  • [1000-piece-airship-research-station] The main HTML was not machine-extractable by the mechanical validator despite the separate kitSpec being present.
Unverified Physical BuildabilityPhysics UnverifiableMeasured Structural CollapseSevere Physical ImplausibilityOperator Multiple Major DefectsOperator Major Primary ArtifactMajor UI Readability DefectPhysics UnverifiableUnverified Mechanical ConnectivityPhysics Unverifiable
Wall clock 5h 20m 53s

From the run

Artemis II Mission Visualization

60
Competent Scaffold

This is a visually strong and substantially complete Artemis II visualization package, but it is not publication-ready because the public-facing mission content contains material factual contradictions and at least one physically implausible/mislabeled numeric claim. The app and presentation show real capability, but the benchmark’s core purpose is source-grounded factual visualization, so the final score is held to the publication-fact-error cap.

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

  • Substantial artifact set with fact sheet, source register, visualization, documentation, beat pages, and screenshots.
  • Primary visualization renders successfully on desktop and mobile according to independent visual review.
  • Interactive design includes MET clock, telemetry HUD, mission event log, timeline scrubber, camera modes, speed controls, labels, and deep links.
  • The visual design is generally polished and useful for video/screenshot workflows, with only minor low-contrast issues reported.

Where it slipped

  • Material factual/internal-consistency errors in public-facing mission content prevent publication trust.
  • Source support is not independently verified by the supplied validation evidence, and some important claims rely on generic or model-authored source assertions.
  • The visualization package contradicts itself on core technical beats such as TLI propulsion and re-entry type.
  • Minor low-contrast timeline/control text reduces reviewability, especially on desktop.
  • README references a factsheet-top screenshot that is not present in the artifact inventory.
Publication Fact Errors
Wall clock 8m 2s

From the run