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Research / Human animation1 November 2026 · Human40

Atlas and LemonSlice.
Forty faces.
The same words.

Atlas scored 77.60 / 80, compared with 66.93 / 80 for LemonSlice, in a model-masked appearance review of 40 matched portraits.

The same portrait and speech input. Two fresh-context LLM reviewers. Every comparison available below.

Benchmark portrait 1Benchmark portrait 4Benchmark portrait 10Benchmark portrait 16Benchmark portrait 22Benchmark portrait 36

Preserving the person.

Identity, the scene, visual consistency, and plausible mouth shapes all matter. Greater movement—or greater stillness—does not automatically earn a higher score.

LLM appearance

Score / 80
Atlas77.60
Lemon Slice66.93
Same scoring rubric and portrait set for both systems. Whiskers, where shown, are 95% portrait-bootstrap intervals.

Atlas scored higher on all 40 portraits. The average paired difference was +10.68 points, with a 95% portrait-bootstrap interval of +9.83 to +11.68 points.

Look closer.

Four categories separate the qualities that make an animated portrait convincing.

Identity & composition

Score / 25
Atlas25.00
Lemon Slice19.75
Same scoring rubric and portrait set for both systems. Whiskers, where shown, are 95% portrait-bootstrap intervals.

Scene fidelity

Score / 20
Atlas20.00
Lemon Slice20.00
Same scoring rubric and portrait set for both systems. Whiskers, where shown, are 95% portrait-bootstrap intervals.

Visual consistency

Score / 20
Atlas20.00
Lemon Slice15.40
Same scoring rubric and portrait set for both systems. Whiskers, where shown, are 95% portrait-bootstrap intervals.

Mouth appearance

Score / 15
Atlas12.60
Lemon Slice11.78
Same scoring rubric and portrait set for both systems. Whiskers, where shown, are 95% portrait-bootstrap intervals.

What happens before the first frame?

Both systems stream video. The measurement boundary matters: an API request and an internal rendering batch begin at different points in the delivery path.

First-frame response

SystemBoundaryResult
AtlasRendering batch → first speaking frame426 ms median
LemonSliceAudio submission → first received frame1.33 s median
LemonSlice’s API session request took a separate median 6.17 s. First received video can be idle. Atlas measures an internal rendering batch; these are different boundaries.

Service price and usage

SystemPrice basisUsage
Atlas$7 / hour$0.0097 per 5 seconds
LemonSliceStarter: $8/month, including 1,000 credits6.14 credits per successful session, median
The short run used 258.80 credits across 41 provider sessions, including the capture retry. Each case submitted five seconds of audio; billed session usage includes startup and idle time. Credits are not a separate cash charge per clip.

Video and audio review.

All 280 evaluation responses are preserved. A content audit found transcript evidence that does not match the supplied speech, so motion and audio scores are withheld while that discrepancy is investigated.

The recorded comparisons remain available below. The separate sampled-appearance results above do not establish lip synchronization or full-speed motion quality.

Beyond a short reply.

All 40 portraits also have longer recordings, using roughly thirty seconds of speech. In the separate long-form sampled-appearance review, Atlas scored 77.68/80 and LemonSlice 72.08/80. Watch every complete recording and explore the long-form results below.

Watch the longer recordings →

Method.

Same inputs. A fixed rubric. Labels masked.

The cohort uses 40 synthetic human portraits spanning realistic and 3D styles, professional and casual scenes, and varied speaking roles. Each case supplies the same portrait and exact conditioning audio to Atlas and LemonSlice. The selected LemonSlice configuration is its Default flagship model.

Two fresh-context LLM reviewers each evaluated a disjoint set of 20 portraits. For each portrait, five systems were presented in randomized, model-masked positions with ten full frames and ten face crops per clip. Both reviewers used the same scoring anchors; ratings and documented rubric clarifications were finalized before the model key was revealed. Every clip received one review. Historical Human40 scores were not reused.

Identity and composition contribute 25 points, scene fidelity 20, sampled visual consistency 20, and mouth appearance 15. Each category uses integer anchors from one to five. Paired portrait bootstrap intervals describe variation across these 40 cases.

These scores assess sampled appearance, not audible lip synchronization or full-speed motion. The 95% intervals use 2,000 paired portrait resamples and describe variation within this synthetic cohort. Longer conversations are evaluated separately.

LemonSlice playback files reconstruct received video and audio using arrival timing. The capture API does not expose audio RTP timestamps, so these files do not establish precise audiovisual synchronization. Playing recordings together does not align individual words. The capture workflow completed all 40 portraits: 38 on the first attempt and two after retries. One retry followed a receiver failure before a confirmed provider session; the other followed a capture-stage failure. The first successful capture was used, with no best-of selection.

All fresh scores, category results, and per-portrait observations