STEALTHMARK · HEAD TO HEAD

All comparisons ↗

GPT-5.5 vs Muse Wonder

Muse Wonder leads GPT-5.5 by 25.7 points on StealthMark, 57.0 to 31.3. It leads on all 7 benchmarks with results for both. Muse Wonder scores higher on Newton's Mirror, with its largest category advantage in reflections.

See the difference ↘
All results ↗
All results ↗

Overall StealthMark

31.3/100Overall rank 43/53
57.0/100Overall rank 10/53

General Intelligence

26.8/100
53.1/100

Visual Intelligence

36.3/100
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-5.5Multi-step reasoning not measured

BENCHMARK BY BENCHMARK

Where each model leads

  • GPT-5.5
  • Muse Wonder
  • Other models
  • Median

DATASHEET

Specs and pricing

Muse Wonder scores higher on StealthMark, is 1.5× cheaper per output token and runs 3× faster in our speed test. Both take about 1.05M tokens of context.

  • GPT-5.5
  • Muse Wonder
  • Other models
  • Median
PricePer 1M output tokens, input below
GPT-5.5: $30$5 inputMuse Wonder: $201.5× cheaper$4 input
Context windowTokens per request, max output below
GPT-5.5: 1.05MTied128K max outputMuse Wonder: 1MTied
Output speedTokens per second, our measurement
GPT-5.5: 193tokens/sMuse Wonder: 5703× fastertokens/s
Developer
OpenAIMeta
Released
23 Apr 202612 Oct 2026
Origin
United StatesBoth
Input → output
Text, image → textText, image, video, audio, PDF → text

Full datasheets, every price and sourceGPT-5.5 ↗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.

Muse Wonder 52.3/100Rank 17/47

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

Points per level

LevelGPT-5.5Muse Wonder
Level 1Second Thoughts
No run
16 ptsOut of lives
Level 2Pressure Pot
No run
10 ptsOut of lives
Level 3Hide or Flight
No run
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.

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-5.5Muse Wonder
Level 1Hold the door
No run
5.2 ptsCleared
Level 2Crossfeed
No run
9 ptsCleared
Level 3Relay vault
No run
18.8 ptsCleared
Level 4Passing bay
No run
17.8 ptsClearedFinished early · 1 beacon left
Level 5Second thoughts
No run
20.6 ptsCleared

Newton's Mirror

Same task instructions

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

The judgment

GPT-5.5

The paint ordering and separate black bead support part of the physical state, but adhesion and rotational transport remain only partly established. The sweeping cyan arc and long crimson lobes do not clearly communicate the limited time since their respective impacts. The main sphere is too large and too low, and the black bead is below its required projected position. Displaced isolated sphere images, a flattened floor echo and missing recursive, nested and emitter reflections provide little coherent optical structure. The colored paint is excessively bulky for the specified quantities.

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-5.5Muse Wonder
State at 600 ms15.0/2522.0/25
Camera and placement6.0/1512.0/15
Reflections5.0/12021.5/120
Materials and scale6.0/107.5/10
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-5.5

Six pale, scaled lobes form a balanced radial arrangement, but they remain separate capsules rather than an interlocking serpent knot. There are no crossings, alternating overlaps, or crisp inner bends; the central hexagon is an isolated outline. Small outward-facing heads sit within the lobes without integrated necks. Soft shading and tidy contours provide some finish, while repetitive oval scales and cartoon faces limit organic credibility.

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-5.5Muse Wonder
Task & likeness3.0/107.5/10
Anatomy & construction3.0/107.0/10
Space & placement5.0/107.5/10
Light & reflections5.0/107.0/10
Purposeful detail4.5/107.5/10
Artistry & character4.0/106.5/10
Materials & effects4.5/106.5/10
Visual integrity7.0/108.0/10

Benchmark task

GPT-5.5

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-5.5

The veil, restrained smile, crossed hands and muted landscape establish Mona Lisa references. The oversized frontal face and schematic features weaken likeness and expression, while fingerless tapered hand shapes leave anatomy unresolved. Clean contours and balanced framing provide coherence, but sparse garment detail, broad landscape bands and shallow shading limit the portrait's sophistication.

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-5.5Muse Wonder
Task & likeness1.5/105.5/10
Anatomy & construction1.5/105.5/10
Space & placement1.5/105.5/10
Light & reflections2.0/105.5/10
Purposeful detail2.5/105.5/10
Artistry & character1.5/105.5/10
Materials & effects2.0/105.0/10
Visual integrity1.5/106.5/10

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-5.5

The sunset, palms, birds, playful animals and ball clearly establish the requested beach scene. Warm sky gradients and clean silhouettes make it appealing. Animal construction is underdeveloped: torso and limb connections are unclear, especially in the round-eared foreground figure. The dolphin lacks a convincing splash, and broad reflection bands suggest sunset light without resolving its behavior on water.

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-5.5Muse Wonder
Task & likeness7.0/108.5/10
Anatomy & construction2.5/106.0/10
Space & placement3.0/106.5/10
Light & reflections3.0/106.5/10
Purposeful detail3.0/109.0/10
Artistry & character3.0/107.0/10
Materials & effects3.0/106.0/10
Visual integrity3.5/107.0/10

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-5.5

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-5.5

The raccoon's masked face, bright hull and sweeping wake make the scene readable and lively. The dog is much less resolved: its head is ambiguous, overlapping brown forms obscure its anatomy, and its paws do not visibly grip the controls. Smooth shapes and cheerful colors provide appeal, but weak steering construction and limited depth keep the drawing uneven.

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-5.5Muse Wonder
Task & likeness3.5/107.5/10
Anatomy & construction3.0/105.5/10
Space & placement4.5/106.5/10
Light & reflections5.0/104.5/10
Purposeful detail3.5/107.5/10
Artistry & character3.0/105.5/10
Materials & effects5.0/107.0/10
Visual integrity3.0/107.0/10

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-5.5

The oversized bill, bright bicycle and sunset create an appealing, recognizable cartoon. Riding mechanics are less convincing: the wing has no clear steering contact, leg attachments are uneven, and feet do not visibly engage pedals. A dark notch complicates the rear neck junction. Clean contours and orderly spokes provide polish, while simplified anatomy and lighting limit depth.

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-5.5Muse Wonder
Task & likeness7.5/108.5/10
Anatomy & construction4.5/106.0/10
Space & placement6.5/107.5/10
Light & reflections6.5/105.5/10
Purposeful detail5.5/108.5/10
Artistry & character5.0/107.5/10
Materials & effects6.0/106.0/10
Visual integrity7.5/108.0/10

Benchmark task

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