STEALTHMARK · HEAD TO HEAD

All comparisons ↗

GPT-6 Sol vs Muse Wonder

Muse Wonder leads GPT-6 Sol by 5.3 points on StealthMark, 57.0 to 51.7. It leads on 6 of 9 benchmarks, including Foresight, and GPT-6 Sol on 3, including Latch. Muse Wonder scores higher on Newton's Mirror, with its largest category advantage in reflections.

See the difference ↘
All results ↗
All results ↗

Overall StealthMark

51.7/100Overall rank 13/53
57.0/100Overall rank 10/53

General Intelligence

46.1/100
53.1/100

Visual Intelligence

61.6/100
64.0/100

Reasoning efficiency

On every task, result quality and reasoning tokens are each compared with all measured models and weighed equally. Each dot is one model.

Single-step reasoning Result quality weighed against reasoning tokens on a single problem

Multi-step reasoning Result quality weighed against reasoning tokens across connected steps, as in agentic workflows

  • GPT-6 Sol

BENCHMARK BY BENCHMARK

Where each model leads

  • GPT-6 Sol
  • Muse Wonder
  • Other models
  • Median

DATASHEET

Specs and pricing

GPT-6 Sol is 2× cheaper per output token. Muse Wonder scores higher on StealthMark and runs 6.3× faster in our speed test. Both take about 1.05M tokens of context.

  • GPT-6 Sol
  • Muse Wonder
  • Other models
  • Median
PricePer 1M output tokens, input below
GPT-6 Sol: $102× cheaper$2 inputMuse Wonder: $20$4 input
Context windowTokens per request, max output below
GPT-6 Sol: 1.05MTied128K max outputMuse Wonder: 1MTied
Output speedTokens per second, our measurement
GPT-6 Sol: 91tokens/sMuse Wonder: 5706.3× fastertokens/s
Developer
OpenAIMeta
Released
22 Sep 202612 Oct 2026
Origin
United StatesBoth
Input → output
Text, image → textText, image, video, audio, PDF → text

Full datasheets, every price and sourceGPT-6 Sol ↗Muse Wonder ↗

Anticipating threats and planning ahead. Collect coins while avoiding ghosts. Ghosts move before the player each turn, and collisions cost a life. 3 levels in sequence, up to 66 turns in total. Earlier moves and outcomes carry forward, testing learning across levels.

GPT-6 Sol 30.4/100Rank 29/47

Survived 0 of 3
Foresight: complete playing field
Level 36 ptsTurn 7 / 20

Muse Wonder 52.3/100Rank 17/47

Survived 0 of 3
Foresight: complete playing field
Level 311 ptsTurn 17 / 20

Points per level

LevelGPT-6 SolMuse Wonder
Level 1Second Thoughts
17 ptsOut of lives
16 ptsOut of lives
Level 2Pressure Pot
5 ptsOut of lives
10 ptsOut of lives
Level 3Hide or Flight
6 ptsOut of lives
11 ptsOut of lives

Cooperative planning and learning from experience. Coordinate two robots to push numbered cores onto matching sockets. Pressure plates hold doors open; moving either robot uses one turn. 5 levels in sequence, up to 152 turns in total. Earlier moves and outcomes carry forward, testing learning across levels.

GPT-6 Sol 76.6/100Rank 11/48

Cleared 5 of 5
Latch: complete playing field
Level 520.6 ptsTurn 27 / 40

Muse Wonder 67.0/100Rank 17/48

Cleared 5 of 5
Latch: complete playing field
Level 520.6 ptsTurn 27 / 40

Points per level

LevelGPT-6 SolMuse Wonder
Level 1Hold the door
5.2 ptsCleared
5.2 ptsCleared
Level 2Crossfeed
9.6 ptsCleared
9 ptsCleared
Level 3Relay vault
18.4 ptsCleared
18.8 ptsCleared
Level 4Passing bay
18.2 ptsClearedFinished early · 3 beacons left
17.8 ptsClearedFinished early · 1 beacon left
Level 5Second thoughts
20.6 ptsCleared
20.6 ptsCleared

Newton's Mirror

Same task instructions

Physics, perspective and recursive reflections, tested together. Explore the test ↗

The judgment

GPT-6 Sol

The centered sphere, separate airborne black form and color ordering support scene recognition. Rounded shading and curved rims provide readable volume and gloss. Shrinking side images, a floor counterpart and curved lamp highlights provide isolated reflection cues, but broad bands and sparse repetitions leave nested room imagery, outer chains and ordered emitter mapping unsupported. Vertical framing departs from the prescribed view, while paint contact, transport and solid-metal appearance remain weak or uncertain.

Muse Wonder

The flattened cyan cap, separate airborne black blob and crimson droplets support much of the contact sequence, although crimson adhesion and forward carriage remain unresolved. Main-sphere placement is broadly compatible with the prescribed view. Sparse isolated mirror images replace the defining repeated room structure and curved nested reflections. The crimson mass is visibly oversized, and the top-center lamp image is missing.

Score breakdown

CategoryGPT-6 SolMuse Wonder
State at 600 ms19.0/2522.0/25
Camera and placement12.0/1512.0/15
Reflections8.0/12021.5/120
Materials and scale6.5/107.5/10
Floor-damage reward0.0/100.0/10

Benchmark task

A spinning metal sphere and paint in a mirrored room test physical reasoning, perspective and consistency across repeated reflections.

Selfie

Different task instructions

Visual construction and creative interpretation.

The judgment

GPT-6 Sol

Six evenly spaced lobes, small outward-facing heads and a regular hexagonal opening make the motif immediately readable. The central angular band merges several intersections, weakening the alternating weave. Pale shading gives modest volume, but scales are sparse and repetitive, crossing shadows are weak, and the heads have limited anatomical definition.

Muse Wonder

An appealing, coherent cartoon with a readable effortful expression and clear forefeet gripping the trunk. Soft colours and controlled contours support its tenderness. Smooth ears, stiff foreleg construction, limited surface texture and uncertain seed contact keep the execution below intricate illustration quality.

Score breakdown

CategoryGPT-6 SolMuse Wonder
Task & likeness7.5/107.5/10
Anatomy & construction6.5/107.0/10
Space & placement6.5/107.5/10
Light & reflections6.0/107.0/10
Purposeful detail6.5/107.5/10
Artistry & character7.0/106.5/10
Materials & effects5.5/106.5/10
Visual integrity6.0/108.0/10

Benchmark task

GPT-6 Sol

A pale serpent woven into an interlocking knot tests connected anatomy, repeated structure and readable overlaps. Organic surface detail must work with the overall geometry.

Muse Wonder

A small elephant protecting a delicate seed tests expressive anatomy, physical contact and contrasting organic materials.

Mona Lisa

Different task instructions

Precise visual recall and portrait reconstruction.

The judgment

GPT-6 Sol

The dark clothing, crossed arms, restrained smile and distant landscape establish the Mona Lisa reference. Replication is limited by the oversized, nearly frontal head, schematic eyes and fingerless hand shapes. Soft shading suggests facial volume, but muddy transitions and angular scenery weaken depth and painterly finish.

Muse Wonder

A competent illustrative interpretation with controlled curves, readable details and coherent depth layers. Facial, hair and garment shading demonstrate more development than basic construction. Replication remains limited by the frontal pose, elongated face and pronounced smile; crowded fingers, weak contact shadows and smooth materials constrain anatomical and painterly conviction.

Score breakdown

CategoryGPT-6 SolMuse Wonder
Task & likeness5.5/105.5/10
Anatomy & construction3.5/105.5/10
Space & placement5.5/105.5/10
Light & reflections6.0/105.5/10
Purposeful detail4.5/105.5/10
Artistry & character5.0/105.5/10
Materials & effects4.5/105.0/10
Visual integrity6.0/106.5/10

Benchmark task

An SVG interpretation of the Mona Lisa tests facial likeness, anatomy and the composition of a familiar portrait.

Beach

Different task instructions

Creativity, perspective and visual beauty.

The judgment

GPT-6 Sol

A cohesive, appealing beach illustration with framing palms, a warm sunset and a clear reflection path. The turtle, crab, birds and beach ball fulfill the playful brief. Clean silhouettes and restrained colors work well, while simplified anatomy, shallow spatial cues and inconsistent foreground shadows limit depth and finish.

Muse Wonder

A lively beach illustration with expressive animals, controlled colour transitions and unusually readable accessories. Connected graphic forms make the activities recognizable. Crowded overlaps, compressed depth, schematic joints, weak directional shadows and limited material variation constrain its physical coherence and refinement.

Score breakdown

CategoryGPT-6 SolMuse Wonder
Task & likeness8.5/108.5/10
Anatomy & construction7.0/106.0/10
Space & placement7.0/106.5/10
Light & reflections6.5/106.5/10
Purposeful detail7.0/109.0/10
Artistry & character6.0/107.0/10
Materials & effects6.5/106.0/10
Visual integrity7.5/107.0/10

Benchmark task

A busy shoreline at sunset tests scene composition, animal forms and the relationship between light and water reflections.

Ground Truth

Same task instructions

Physical reasoning, light and visual reconstruction.

The judgment

GPT-6 Sol

This benchmark has not been assessed yet.

Muse Wonder

This benchmark has not been assessed yet.

Benchmark task

A plank, computer mouse and blueberry in a steel room test physical stability, spatial relationships, materials and lighting.

Raccoon

Different task instructions

Scene composition and interacting subjects.

The judgment

GPT-6 Sol

The raccoon rides the dog's back, and the dog's connected foreleg reaches the steering grip. Expressive faces, a cohesive palette and sweeping wake make an appealing illustration. Vehicle construction and seating remain simplified; broad splash ribbons convey speed more convincingly than physical displacement. The sun has little corresponding reflection or effect on the subjects.

Muse Wonder

An expressive, coherent cartoon demonstrates the requested riding and steering interaction. Clean contours, differentiated accessories and energetic spray support its appeal. Concealed seated contacts, compressed vehicle perspective and weak directional lighting limit physical resolution despite the detailed presentation.

Score breakdown

CategoryGPT-6 SolMuse Wonder
Task & likeness7.5/107.5/10
Anatomy & construction6.5/105.5/10
Space & placement7.5/106.5/10
Light & reflections6.0/104.5/10
Purposeful detail7.5/107.5/10
Artistry & character6.5/105.5/10
Materials & effects7.5/107.0/10
Visual integrity8.0/107.0/10

Benchmark task

A jet-ski scene pairs a canine driver with a raccoon passenger. It tests the placement and contact of interacting subjects, along with vehicle construction.

Pelican

Different task instructions

Subject construction and spatial relationships.

The judgment

GPT-6 Sol

The pelican reads clearly, with an expressive face, generous bill and appealing pastel composition. Spokes, basket weave and feather contours are carefully organized. Both legs connect to the body, though joint definition and pedal contacts are simplified. Consistent wheel placement and a ground shadow establish support; restrained shading gives limited volume.

Muse Wonder

A controlled, expressive seaside illustration with a distinctive pelican, coherent bicycle geometry and successfully resolved graphic detail. Visible pedal support and plausible occlusion strengthen the riding construction. Aligned wheels and layered scenery establish placement. Limited cast shadows, simplified leg articulation and restrained material modeling constrain its physical finish.

Score breakdown

CategoryGPT-6 SolMuse Wonder
Task & likeness9.0/108.5/10
Anatomy & construction7.5/106.0/10
Space & placement8.0/107.5/10
Light & reflections7.0/105.5/10
Purposeful detail8.0/108.5/10
Artistry & character8.5/107.5/10
Materials & effects7.0/106.0/10
Visual integrity8.5/108.0/10

Benchmark task

A cycling pelican tests anatomy, riding posture and contact between the bird and the bicycle.