Cyborg Index · July 2026

Meridian Long-Name Alpha-XL vs Slate-10

Both humanoids read on the same 8 axes and 40 sub-axes, using the published Index scores. Every difference below carries the public evidence behind it, and sub-axes with no public evidence count as 0 rather than being skipped.

Overall standing

Capability score · 0–5 over 40 sub-axes

Meridian Long-Name Alpha-XL

Extraordinarily Long Vendor Co.

2.34of 5

Rank

Coverage

24/40

Proof

1.74

Slate-10

Vendor Juliet

1.77of 5

Rank

#12

Coverage

21/40

Proof

0.85

Rank down 3 to 12 (was 9)

The short answer

Meridian Long-Name Alpha-XL scores 0.57 higher than Slate-10, and independent evidence backs it.

74% of Meridian Long-Name Alpha-XL's score is carried by independently verified material rather than claims alone. Slate-10 has more unscored ground than the gap between them, so this could change next month.

Where Meridian Long-Name Alpha-XL is ahead

Autonomy+0.95Independently backed
Deployment+0.94Rests on claims and demos
Locomotion+0.62Independently backed
Learning+0.55Independently backed

Where Slate-10 is ahead

Not ahead by enough on any axis to be worth reporting.

What would change it

13 sub-axes on the trailing side have no public evidence yet. If all of them scored full marks they would be worth 1.63 — against a gap of 0.57.

Manipulation · Bimanualup to +0.125
Autonomy · Instruction followingup to +0.125
Manipulation · Tool useup to +0.125
Autonomy · Task horizonup to +0.125
Learning · Transfer fine tuneup to +0.125

There is more unscored ground than there is gap, so this result could turn over after the next research month.

How much we know

56%of sub-axes covered

We have public evidence for 56% of the 40 sub-axes across these two.

Meridian Long-Name Alpha-XL · 60%

Slate-10 · 53%

The shape of each score

Meridian Long-Name Alpha-XL2.34

24/40 sub-axes have evidence

Faint outline = Slate-10

Slate-101.77

21/40 sub-axes have evidence

Faint outline = Meridian Long-Name Alpha-XL

Reading the wheels — clockwise from the top

1 Locomotion
2 Manipulation
3 Perception
4 Autonomy
5 Learning
6 HRI
7 Deployment
8 Safety

Each wheel has 40 spokes — five per axis. A longer spoke is a higher score, and the dashed rings mark 1 to 4. Hover or tab onto any spoke to read the axis, the sub-axis and the exact value. A missing spoke means there is no public evidence for that sub-axis yet, which is not the same as scoring zero. The faint outline on each wheel is the other humanoid, drawn on the same scale.

Every axis, every sub-axis

Autonomy0.95 Deployment0.94 Locomotion0.62 Learning0.55 Manipulation0.54 Perception0.50 HRI0.44 Safetylevel

Meridian Long-Name Alpha-XLSlate-10

Shared 0–5 track · widest gap first

Autonomy

2.63 / 1.68◄ 0.95

Independently backedEvidenced cells · 4/5 vs 0/5

Unattended operation

2.63 / 1.62◄ 1.01

Task horizon

2.85 / 1.67◄ 1.18

Generalization

2.41 / 1.96◄ 0.45

Instruction following

2.59 / 1.85◄ 0.74

Recovery from failure

2.67 / 1.32◄ 1.35

Deployment

1.96 / 1.02◄ 0.94

Rests on claims and demosEvidenced cells · 1/5 vs 5/5

Named pilots

1.80 / 0.84◄ 0.96

Field hours

1.79 / 0.90◄ 0.89

Customer diversity

1.86 / 1.44◄ 0.42

Supportability

2.31 / 0.89◄ 1.42

Commercial posture

2.02 / 1.01◄ 1.01

Locomotion

2.85 / 2.23◄ 0.62

Independently backedEvidenced cells · 2/5 vs 5/5

Flat ground walking

2.90 / 2.41◄ 0.49

Uneven terrain

2.82 / 2.36◄ 0.46

Stairs

3.05 / 2.36◄ 0.69

Disturbance recovery

2.84 / 1.97◄ 0.87

Speed endurance

2.66 / 2.05◄ 0.61

Learning

2.22 / 1.68◄ 0.55

Independently backedEvidenced cells · 4/5 vs 0/5

Imitation learning

1.93 / 2.18► 0.25

Sim to real

2.58 / 1.61◄ 0.97

Foundation policy

2.06 / 1.70◄ 0.36

Data flywheel

2.18 / 1.33◄ 0.85

Transfer fine tune

2.36 / 1.56◄ 0.80

Manipulation

2.54 / 2.00◄ 0.54

Independently backedEvidenced cells · 3/5 vs 0/5

Grasp variety

2.20 / 1.96◄ 0.24

Bimanual

2.31 / 1.75◄ 0.56

Force control

2.78 / 2.12◄ 0.66

In hand reorient

2.89 / 1.83◄ 1.06

Tool use

2.52 / 2.32◄ 0.20

Perception

2.48 / 1.97◄ 0.50

Independently backedEvidenced cells · 3/5 vs 4/5

Sensor stack

2.08 / 2.31► 0.23

Scene understanding

2.54 / 2.04◄ 0.50

Spatial memory

2.26 / 1.57◄ 0.69

Object permanence

3.02 / 2.26◄ 0.76

Semantic world model

2.49 / 1.69◄ 0.80

HRI

2.20 / 1.76◄ 0.44

Independently backedEvidenced cells · 3/5 vs 3/5

Speech io

2.13 / 1.90◄ 0.23

Nl instruction

2.08 / 1.97◄ 0.11

Intent recognition

2.17 / 1.68◄ 0.49

Safe proximity

2.23 / 1.61◄ 0.62

Social presentation

2.39 / 1.65◄ 0.74

Safety

1.86 / 1.82

Not enough public record yetEvidenced cells · 4/5 vs 4/5

Functional safety

1.92 / 1.85◄ 0.07

Certifications

2.28 / 1.87◄ 0.41

E stop arch

1.84 / 1.64◄ 0.20

Incident transparency

1.58 / 1.80► 0.22

Force impact limits

1.70 / 1.93► 0.23

Segment length and thickness are the gapNo public evidence yet

Which is better for what

Each row is decided by the axes that matter for that kind of work, read off the same Capability scores as the ranking. Rows only appear where both humanoids have enough public record to answer.

Manufacturing and warehouse work

Named pilots and field hours, backed by what the hands can actually do.

Meridian Long-Name Alpha-XL

Meridian Long-Name Alpha-XL scores higher on Deployment and Manipulation — 2.15 against 1.34 for Slate-10.

Running without a human in the loop

Unattended operation and task horizon, backed by what the robot can perceive.

Meridian Long-Name Alpha-XL

Meridian Long-Name Alpha-XL scores higher on Autonomy and Perception — 2.58 against 1.78 for Slate-10.

Moving through difficult ground

Uneven terrain, stairs and disturbance recovery.

Meridian Long-Name Alpha-XL

Meridian Long-Name Alpha-XL scores higher on Locomotion — 2.85 against 2.23 for Slate-10.

Working alongside people

Functional safety and certification, plus how it reads and answers people.

Meridian Long-Name Alpha-XL

Meridian Long-Name Alpha-XL scores higher on Safety and HRI — 1.98 against 1.80 for Slate-10.

Research and developer use

How much of the stack is documented and reproducible.

Meridian Long-Name Alpha-XL

Meridian Long-Name Alpha-XL scores higher on Learning and Perception — 2.31 against 1.78 for Slate-10.

How solid the record is on each side

Meridian Long-Name Alpha-XL

Sub-axes on the record: 24 of 40 · 60%
Carried by verified material: 74%
Rests on claims and demos: 0.60

Best documented — Manipulation, Perception, Autonomy, Learning, HRI, Safety

Nothing on the record — every axis has at least one read

Slate-10

Sub-axes on the record: 21 of 40 · 53%
Carried by verified material: 48%
Rests on claims and demos: 0.92

Best documented — Locomotion, Perception, HRI, Deployment, Safety

Nothing on the record — Manipulation, Autonomy, Learning

What this comparison cannot settle

Neither humanoid has a public read on 6 of the 40 sub-axes, so those cannot be compared at all.
23 sub-axes are read on only one side. A one-sided cell is undecided, not a zero for the silent side.
Demonstrations happen in different environments and product revisions are not always equivalent, so like-for-like uptime and throughput figures do not exist for most of the field.

Go deeper on either humanoid

Nearby comparisons

All comparisons →

Cyborg IndexJuly 2026 editionCapability scoremethodologypreview cohort