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 ↘Overall StealthMark
General Intelligence
Visual Intelligence
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
Games
SVG
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
- 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 ↗
Foresight
Play Foresight yourselfAnticipating 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

Points per level
Latch
Play Latch yourselfCooperative 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-5.5No run
Muse Wonder 67.0/100Rank 17/48

Points per level
Newton's Mirror
Same task instructionsPhysics, perspective and recursive reflections, tested together. Explore the test ↗
GPT-5.5 22.7/100 Rank 35/53

Muse Wonder 39.7/100 Rank 17/53

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
| Category | GPT-5.5 | Muse Wonder |
|---|---|---|
| State at 600 ms | 15.0/25 | 22.0/25 |
| Camera and placement | 6.0/15 | 12.0/15 |
| Reflections | 5.0/120 | 21.5/120 |
| Materials and scale | 6.0/10 | 7.5/10 |
| Floor-damage reward | 0.0/10 | 0.0/10 |
Benchmark task
A spinning metal sphere and paint in a mirrored room test physical reasoning, perspective and consistency across repeated reflections.
Selfie
Different task instructionsVisual construction and creative interpretation.
GPT-5.5 41.9/100 Rank 48/53

Muse Wonder 71.5/100 Rank 17/53

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
| Category | GPT-5.5 | Muse Wonder |
|---|---|---|
| Task & likeness | 3.0/10 | 7.5/10 |
| Anatomy & construction | 3.0/10 | 7.0/10 |
| Space & placement | 5.0/10 | 7.5/10 |
| Light & reflections | 5.0/10 | 7.0/10 |
| Purposeful detail | 4.5/10 | 7.5/10 |
| Artistry & character | 4.0/10 | 6.5/10 |
| Materials & effects | 4.5/10 | 6.5/10 |
| Visual integrity | 7.0/10 | 8.0/10 |
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 instructionsPrecise visual recall and portrait reconstruction.
GPT-5.5 17.3/100 Rank 43/53

Muse Wonder 55.7/100 Rank 8/53

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
| Category | GPT-5.5 | Muse Wonder |
|---|---|---|
| Task & likeness | 1.5/10 | 5.5/10 |
| Anatomy & construction | 1.5/10 | 5.5/10 |
| Space & placement | 1.5/10 | 5.5/10 |
| Light & reflections | 2.0/10 | 5.5/10 |
| Purposeful detail | 2.5/10 | 5.5/10 |
| Artistry & character | 1.5/10 | 5.5/10 |
| Materials & effects | 2.0/10 | 5.0/10 |
| Visual integrity | 1.5/10 | 6.5/10 |
Benchmark task
An SVG interpretation of the Mona Lisa tests facial likeness, anatomy and the composition of a familiar portrait.
Beach
Different task instructionsCreativity, perspective and visual beauty.
GPT-5.5 34.9/100 Rank 49/53

Muse Wonder 71.0/100 Rank 15/53

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
| Category | GPT-5.5 | Muse Wonder |
|---|---|---|
| Task & likeness | 7.0/10 | 8.5/10 |
| Anatomy & construction | 2.5/10 | 6.0/10 |
| Space & placement | 3.0/10 | 6.5/10 |
| Light & reflections | 3.0/10 | 6.5/10 |
| Purposeful detail | 3.0/10 | 9.0/10 |
| Artistry & character | 3.0/10 | 7.0/10 |
| Materials & effects | 3.0/10 | 6.0/10 |
| Visual integrity | 3.5/10 | 7.0/10 |
Benchmark task
A busy shoreline at sunset tests scene composition, animal forms and the relationship between light and water reflections.
Ground Truth
Same task instructionsPhysical reasoning, light and visual reconstruction.
GPT-5.5 40.8/100 Rank 27/53

Muse Wonder 59.9/100 Rank 11/53

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 instructionsScene composition and interacting subjects.
GPT-5.5 35.8/100 Rank 45/53

Muse Wonder 61.8/100 Rank 24/53

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
| Category | GPT-5.5 | Muse Wonder |
|---|---|---|
| Task & likeness | 3.5/10 | 7.5/10 |
| Anatomy & construction | 3.0/10 | 5.5/10 |
| Space & placement | 4.5/10 | 6.5/10 |
| Light & reflections | 5.0/10 | 4.5/10 |
| Purposeful detail | 3.5/10 | 7.5/10 |
| Artistry & character | 3.0/10 | 5.5/10 |
| Materials & effects | 5.0/10 | 7.0/10 |
| Visual integrity | 3.0/10 | 7.0/10 |
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 instructionsSubject construction and spatial relationships.
GPT-5.5 60.0/100 Rank 36/53

Muse Wonder 72.3/100 Rank 16/53

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
| Category | GPT-5.5 | Muse Wonder |
|---|---|---|
| Task & likeness | 7.5/10 | 8.5/10 |
| Anatomy & construction | 4.5/10 | 6.0/10 |
| Space & placement | 6.5/10 | 7.5/10 |
| Light & reflections | 6.5/10 | 5.5/10 |
| Purposeful detail | 5.5/10 | 8.5/10 |
| Artistry & character | 5.0/10 | 7.5/10 |
| Materials & effects | 6.0/10 | 6.0/10 |
| Visual integrity | 7.5/10 | 8.0/10 |
Benchmark task
A cycling pelican tests anatomy, riding posture and contact between the bird and the bicycle.