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StealthMark Intelligence Benchmarks (overall score) (StealthMark)

We show this table for reference; we do not rank on it.

Data verified

StealthMark, from Stealth Models, scores a model out of 100 on eight original tasks: four on physical reasoning and multi-step planning, and four on producing a precise picture from a brief. The exact instructions are kept private so models can't be tuned to them.

Benchmark score on StealthMark — November 13, 2026

We compile the StealthMark rows from benchmark-owner or independent runs. GPT-6 Astra leads the table at 74.6, followed by Claude Opus 5.5 (72.6) and Claude Sonnet 5.5 (70.2). We do not use these results to rank models overall.

42 modelsCross-domainCurrentDisplay onlyUpdated November 13, 2026

Benchmark score table (42 models)

Benchmark score results for StealthMark
RankModel / configurationScoreParameters (B)Open / closed
1GPT-6 AstraOpenAIRun by StealthMark
74.6
Not reportedClosed
2Claude Opus 5.5AnthropicRun by StealthMark
72.6
Not reportedClosed
3Claude Sonnet 5.5AnthropicRun by StealthMark
70.2
Not reportedClosed
4GPT-6.1 SolOpenAIRun by StealthMark
67.8
Not reportedClosed
5Gemini 4 ArgonGoogleRun by StealthMark
67.4
Not reportedClosed
6Claude Fable 5.1AnthropicRun by StealthMark
62.9
Not reportedClosed
7Qwen3.8 MaxAlibabaRun by StealthMark
62.4
Not reportedOpen
8GPT-6.1 TerraOpenAIRun by StealthMark
60.4
Not reportedClosed
9DeepSeek V4.1 Flash 1017DeepSeekRun by StealthMark
59.1
Not reportedOpen
10Muse WonderMetaRun by StealthMark
57.0
Not reportedClosed
11Kimi K3.1 ProMoonshot AIRun by StealthMark
56.7
Not reportedOpen
12GPT-5.6 SolOpenAIRun by StealthMark
53.7
Not reportedClosed
13GLM-5.3Z.AIRun by StealthMark
52.9
Not reportedOpen
14GPT-6 SolOpenAIRun by StealthMark
52.0
Not reportedClosed
15Qwen3.8-27BAlibabaRun by StealthMark
51.5
Not reportedOpen
16Kimi K3Moonshot AIRun by StealthMark
50.6
Not reportedOpen
17Claude Haiku 5.5AnthropicRun by StealthMark
49.5
Not reportedClosed
18MiMo-V2.6-FlashXiaomiRun by StealthMark
49.3
Not reportedOpen
19Gemini 3.8 FlashGoogleRun by StealthMark
47.9
Not reportedClosed
20MiMo-V2.6-ProXiaomiRun by StealthMark
47.9
Not reportedOpen
21Grok 4.7xAIRun by StealthMark
47.2
Not reportedClosed
22GPT-5.6 TerraOpenAIRun by StealthMark
45.8
Not reportedClosed
23MiniMax M3.1 FlashMiniMaxRun by StealthMark
45.4
Not reportedClosed
24Muse Spark OpenMetaRun by StealthMark
44.1
Not reportedOpen
25Hy4 previewTencentRun by StealthMark
43.9
Not reportedOpen
26Mistral Large 4MistralRun by StealthMark
43.3
Not reportedOpen
27DeepSeek V4 Pro 0813DeepSeekRun by StealthMark
42.8
Not reportedOpen
28Ling 3.1 FlashInclusionAIRun by StealthMark
42.4
Not reportedOpen
29Muse Spark 1.3MetaRun by StealthMark
39.5
Not reportedClosed
30GPT-6 LunaOpenAIRun by StealthMark
39.1
Not reportedClosed
31Step 5 PreviewStepFunRun by StealthMark
39.0
Not reportedOpen
32MiniMax M3MiniMaxRun by StealthMark
38.6
Not reportedOpen
33GPT-5.6 LunaOpenAIRun by StealthMark
37.8
Not reportedClosed
34GPT-5.5OpenAIRun by StealthMark
36.5
Not reportedClosed
35Qwen3.6-27BAlibabaRun by StealthMark
32.4
Not reportedOpen
36Beam 1.0 501B-A23BReflection AIRun by StealthMark
31.9
Not reportedOpen
37Gemma 4 31BGoogleRun by StealthMark
29.5
Not reportedOpen
38Inkling-SmallThinking Machines LabRun by StealthMark
27.5
Not reportedOpen
39Gemma 4 26B A4BGoogleRun by StealthMark
21.2
Not reportedOpen
40Qwen3.6-35B-A3BAlibabaRun by StealthMark
20.8
Not reportedOpen
41Nemotron 3 UltraNVIDIARun by StealthMark
16.7
Not reportedOpen
42MAI-Thinking-1MicrosoftRun by StealthMark
14.1
Not reportedClosed
  • Lab-reported
  • Benchmark-run
  • Independent
What the labels mean

How to read this leaderboard

Higher is better. GPT-6 Astra leads version 1.8.10 at 74.6, ahead of Claude Opus 5.5 at 72.6 and Claude Sonnet 5.5 at 70.2. The two halves can pull apart: Claude Sonnet 5.5's Visual score (76.1) is close to Astra's (76.9) while its General score is six points lower, and MiniMax M3.1 Flash pairs a Visual score of 62.6 with a General score of 35.8. If you care about one half, read that number in the row note.

Operator receipt: 42 sourced rows are currently displayable on this page; the leading published row is GPT-6 Astra at 74.6.

Honest limit: The instructions are private, so nobody outside Stealth Models can rerun the benchmark or check how the eight tasks are weighted into one number. Much of the scoring is human judgment against a rubric. The score is tied to a version and will move as tasks are added (Latch and Foresight joined on October 19, 2026). We leave out models tested under a stealth name, including ones the site has since identified, and variants we don't list. We show it as display-only; it does not enter overall or category rankings.

Among the reported StealthMark rows, GPT-6 Astra is first at 74.6. The third row is 4.4 score units behind. The broader top-10 range is 17.6 score units, so the table still separates the published systems.

42 models have been evaluated on StealthMark. The benchmark falls in the Cross-domain category. We keep these results separate from the weighted global scoring system, so they remain source-specific evidence. StealthMark is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About StealthMark

Year

2026

Tasks

8 original tasks: Newton's Mirror, Ground Truth, Latch, Foresight, Mona Lisa, Selfie, Beach and Raccoon

Format

Private instructions, blind judging, rendered references and playable game levels

Difficulty

Chained physical reasoning, planning without tools and precise visual construction

The General Intelligence half has two physics scenes and two games. In Newton's Mirror the model has to work out the reflections of a spinning sphere in a room of mirrors, and in Ground Truth the light and shadows around a few everyday objects; both are compared with rendered references. Latch and Foresight are games the model plays turn by turn with no code and no tools, across several levels. The Visual Intelligence half is four drawing tasks (Mona Lisa, Selfie, Beach and Raccoon) judged on likeness, anatomy, placement, light and finish. Every result is scored without knowing which model made it, and blank answers, refusals and broken output count as failures. The site publishes each image, the judges' notes and every game replay, along with separate General and Visual scores, which we keep in each row note. A ninth task, Pelican, is shown on the results page but is not part of the score.

Freshness and provenance

Version

StealthMark 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

Questions

What does StealthMark measure?

How well a model handles tasks it could not have studied for. Four test physical reasoning and planning, including two games played without code or tools. Four ask the model to draw a scene or character from a brief. The eight results combine into one score out of 100.

Which model leads StealthMark?

GPT-6 Astra leads StealthMark 1.8.10 with 74.6 out of 100, followed by Claude Opus 5.5 at 72.6 and Claude Sonnet 5.5 at 70.2. The highest-scoring model with downloadable weights is DeepSeek V4.1 Flash 1017 at 59.2, ahead of Kimi K3.1 Pro at 56.7.

Why are StealthMark's instructions private?

Public benchmark questions end up in training data, and scores can then rise faster than the ability behind them. Stealth Models publishes what each task tests, every image and every game replay, but not the exact prompts. The cost is that nobody else can rerun the benchmark.

Last updated: November 13, 2026 · BenchLM version StealthMark 2026

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