STEALTHMARK · HEAD TO HEAD

All comparisons ↗

GPT-6.1 Terra vs Qwen3.8-27B

GPT-6.1 Terra leads Qwen3.8-27B by 8.7 points on StealthMark, 60.4 to 51.7. It leads on 5 of 9 benchmarks, including Latch, and Qwen3.8-27B on 4, including Foresight. GPT-6.1 Terra scores higher on Ground Truth.

See the difference ↘
All results ↗
All results ↗

Overall StealthMark

60.4/100Overall rank 9/54
51.7/100Overall rank 15/54

General Intelligence

58.0/100
46.2/100

Visual Intelligence

64.9/100
61.4/100

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

Open or local

Local modelOpen model · Apache-2.0

BENCHMARK BY BENCHMARK

Where each model leads

  • GPT-6.1 Terra
  • Qwen3.8-27B
  • Other models
  • Median

DATASHEET

Specs and pricing

GPT-6.1 Terra scores higher on StealthMark. Qwen3.8-27B is 2.9× cheaper per output token. Both take about 1.05M tokens of context.

  • GPT-6.1 Terra
  • Qwen3.8-27B
  • Other models
  • Median
PricePer 1M output tokens, input below
GPT-6.1 Terra: $5$1 inputQwen3.8-27B: $1.702.9× cheaper$0.42 input
Context windowTokens per request, max output below
GPT-6.1 Terra: 1.05MTied128K max outputQwen3.8-27B: 1MTied128K max output
Output speedTokens per second, our measurement
GPT-6.1 Terra: Not measuredQwen3.8-27B: 78tokens/s
SizeTotal and active parameters
GPT-6.1 Terra: Not disclosedQwen3.8-27B: 27BAll activeEstimated
Developer
OpenAIQwen
Released
26 Oct 202614 Aug 2026
Origin
United StatesChina
Input → output
Text, image → textText, image, video → text
Architecture
Not publishedDense causal language model with vision encoder; hybrid Gated DeltaNet and gated attention; MTP-trained

Full datasheets, every price and sourceGPT-6.1 Terra ↗Qwen3.8-27B ↗

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-6.1 Terra 62.0/100Rank 9/50

Survived 2 of 3
Foresight: complete playing field
Level 315 ptsTurn 20 / 20

Qwen3.8-27B 63.0/100Rank 7/50

Survived 1 of 3
Foresight: complete playing field
Level 311 ptsTurn 16 / 20

Points per level

LevelGPT-6.1 TerraQwen3.8-27B
Level 1Second Thoughts
21 ptsSurvived
26 ptsSurvived
Level 2Pressure Pot
9 ptsOut of lives
12 ptsOut of lives
Level 3Hide or Flight
15 ptsSurvived
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-6.1 Terra 77.7/100Rank 12/51

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

Qwen3.8-27B 38.6/100Rank 31/51

Cleared 2 of 5
Latch: complete playing field
Level 515.8 ptsTurn 31 / 40

Points per level

LevelGPT-6.1 TerraQwen3.8-27B
Level 1Hold the door
5.2 ptsCleared
5.2 ptsCleared
Level 2Crossfeed
9.8 ptsCleared
9.8 ptsCleared
Level 3Relay vault
19.2 ptsCleared
11.2 ptsFinished early
Level 4Passing bay
17.8 ptsClearedFinished early · 3 beacons left
13.2 ptsFinished early
Level 5Second thoughts
20.6 ptsCleared
15.8 ptsFinished early

Newton's Mirror

Same task instructions

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

The judgment

GPT-6.1 Terra

The sphere, airborne black and first reflected silhouettes preserve important geometry within the portrait frame. Paint deformation, contact order and forward transport are supported, with a small crimson endpoint overshoot. Major optical omissions dominate: short finite reflection sequences and smooth bands replace extensive, spatially ordered mirror imagery. Dark gloss and crisp upper emitter shapes provide partial material credit.

Qwen3.8-27B

The room fills the complete 16:9 frame without visible borders or labels. Central placement fits the wider frame, and the paint colors follow the expected vertical order. Bilateral side images, diminishing echoes and an overlapping floor image provide limited mirror depth. Broad sphere surfaces lack ordered nested room imagery, while planar panel sequences and outer chains remain missing or unresolved. Soft highlights do not establish emitter mapping, while paint attachment and transport history are only partly supported.

Score breakdown

CategoryGPT-6.1 TerraQwen3.8-27B
State at 600 ms23.0/2523.0/25
Camera and placement11.0/1513.0/15
Reflections33.0/12024.0/120
Materials and scale7.5/106.5/10
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-6.1 Terra

A balanced serpent emblem with six attached outward heads, delicate scales and softly rounded bodies. Its compact silhouette reads clearly, but central routing does not establish every alternating crossing or crisp inward corner. Repetitive texture, limited facial anatomy and weak contact shadows constrain its organic character.

Qwen3.8-27B

A cohesive emerald-and-gold illustration with a gentle expression, flowing robes, luminous halo and three clearly ringed orbs. Limbs remain connected, and the asymmetric legs communicate floating. The rounded face reads somewhat bear-like; the raised palm faces outward rather than upward, and chest-hand fingers are crowded. Clean ornamentation exceeds the comparatively simple anatomical modeling and shading.

Score breakdown

CategoryGPT-6.1 TerraQwen3.8-27B
Task & likeness7.5/108.0/10
Anatomy & construction6.5/107.5/10
Space & placement6.5/108.0/10
Light & reflections6.0/107.5/10
Purposeful detail6.5/108.0/10
Artistry & character6.5/107.5/10
Materials & effects6.0/107.5/10
Visual integrity6.0/108.5/10

Benchmark task

GPT-6.1 Terra

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.

Qwen3.8-27B

A floating capybara in ornate robes tests character anatomy, layered fabric and the placement of surrounding luminous forms.

Mona Lisa

Different task instructions

Precise visual recall and portrait reconstruction.

The judgment

GPT-6.1 Terra

A recognizable interpretation with developed facial shading, shaped sleeve folds and purposeful small features. These strengths support modest upward calibration, while the frontal torso, elongated proportions, schematic finger joints and unresolved seated support keep replication and construction uneven.

Qwen3.8-27B

The centered portrait, dark clothing and overlapping hands evoke the Mona Lisa, but replication is weak. The face is excessively elongated, the eyes stare broadly, and the hands reduce to rounded masses with shallow finger marks. Soft shading creates some volume, while the landscape remains indistinct. The precise gold frame is more resolved than the portrait.

Score breakdown

CategoryGPT-6.1 TerraQwen3.8-27B
Task & likeness5.5/104.0/10
Anatomy & construction6.5/104.5/10
Space & placement4.5/104.5/10
Light & reflections6.5/105.0/10
Purposeful detail6.0/105.0/10
Artistry & character6.0/105.0/10
Materials & effects6.0/105.0/10
Visual integrity6.5/105.0/10

Benchmark task

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

Beach

Same task instructions

Creativity, perspective and visual beauty.

The judgment

GPT-6.1 Terra

A coherent sunset illustration with clear prompt fulfillment, controlled framing and varied, purposeful small details. Simplified joints, frontal staging, flattened animal forms and weakly directional shadows limit its anatomical, spatial and physical sophistication.

Qwen3.8-27B

The sweeping palm, glowing sunset and purple-to-orange palette create an appealing beach composition. Birds, animals and reflections fulfill the brief, with clean silhouettes and readable small accents. Schematic anatomy, repetitive shoreline geometry and limited perspective integration constrain depth. Foreground lighting and uniform reflection bars provide atmosphere but little physical coherence.

Score breakdown

CategoryGPT-6.1 TerraQwen3.8-27B
Task & likeness8.5/108.5/10
Anatomy & construction7.5/106.5/10
Space & placement6.5/106.0/10
Light & reflections5.5/106.0/10
Purposeful detail7.5/107.0/10
Artistry & character7.0/107.0/10
Materials & effects6.5/106.5/10
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-6.1 Terra

This benchmark has not been assessed yet.

Qwen3.8-27B

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

Same task instructions

Scene composition and interacting subjects.

The judgment

GPT-6.1 Terra

A coherent cartoon with expressive animals, readable steering and a clear wake. Fine facial and hull details reward inspection. The main limits are the boatlike craft, simplified joints, weakly braced frontal raccoon and minimal directional lighting or material depth.

Qwen3.8-27B

The raccoon clearly rides on the dog's back, and the dog reaches the jet ski's steering grip. Cheerful expressions, a bright palette and sweeping wake make the action readable. Anatomy and machinery remain simplified, with overlapping paws and limited seat definition. Flat lighting, sparse surface detail and broad white splash shapes limit depth and finish. A clipped gray fragment interrupts the upper-left corner.

Score breakdown

CategoryGPT-6.1 TerraQwen3.8-27B
Task & likeness6.5/108.5/10
Anatomy & construction5.5/106.5/10
Space & placement6.0/107.0/10
Light & reflections5.0/105.5/10
Purposeful detail7.0/106.5/10
Artistry & character6.0/106.5/10
Materials & effects6.0/106.5/10
Visual integrity7.0/107.5/10

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

Same task instructions

Subject construction and spatial relationships.

The judgment

GPT-6.1 Terra

A coherent pelican cyclist with expressive proportions, purposeful feather detail and developed bicycle machinery. Continuous body contours, aligned wheels and readable pedal contacts support the scene. Simplified articulation, shallow modelling and an unresolved steering connection limit construction and placement.

Qwen3.8-27B

The pelican’s oversized bill, straw hat and flowing scarf create a distinctive focal character against a well-composed coastal sunset. Wheels and frame are readable, but the wings do not reach the steering, overlapping legs obscure separate pedal contacts, and the crank linkage is unclear. Clean vector shapes and restrained shading support an appealing illustration with limited physical depth.

Score breakdown

CategoryGPT-6.1 TerraQwen3.8-27B
Task & likeness7.0/108.0/10
Anatomy & construction7.0/105.5/10
Space & placement6.0/107.0/10
Light & reflections5.5/107.0/10
Purposeful detail7.0/107.5/10
Artistry & character6.5/107.5/10
Materials & effects5.5/106.5/10
Visual integrity6.0/108.0/10

Benchmark task

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