INDEX / VIDEO_GENERATION / Genmo archive:data/tools
ARCHIVE SNAPSHOT
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Genmo

Rank #34 in Video

Mochi and Replay video models with open weights

MOCHI REPLAY QUEUE PRIORITY FREEMIUM PRICING T0 VERIFIED PRICING
Composite Index 77.2/100
verified
Launch Genmo north_east
Output Quality (5-dim) grain
78/100 Rubric v2-5dim

correctness and consistency of primary task output.

Feature Depth (5-dim) grid_view
76/100 Rubric v2-5dim

breadth of integrations, APIs, and advanced capabilities.

Runtime Performance speed
76/100 Rubric v2-5dim

Runtime performance & latency dimension (v2-5dim rubric).

Onboarding Usability touch_app
78.0% Rubric v2

onboarding friction, UI clarity, and workflow ergonomics.

Scoring Vectors

EVAL_EPOCH: 2026.Q3

Five-dimension rubric assessment (v2-5dim) recorded from public information for Genmo.

Output Quality & Reliability 78.0%
correctness and consistency of primary task output.
Feature Depth & Integrations 76.0%
breadth of integrations, APIs, and advanced capabilities.
Onboarding & Usability 78.0%
onboarding friction, UI clarity, and workflow ergonomics.
Runtime Performance & Latency 76.0%
latency, throughput, and stability under load.
Price-to-Value Efficiency 78.0%
capability delivered per pricing tier dollar.
Archive record · 4 features Genmo • Open-Weight Video Experimentation
AI-GENERATED SAMPLE EDITORIAL REVIEW

Live Gen Terminal

STREAM: GENMO-NODE-PROD
genmo-infer.sh
PERFORMANCE: 76/100

// Initializing Mochi...

> POST /v1/genmo/generate

{
  "vendor": "Genmo",
  "product": "Genmo",
  "pricing_model": "freemium",
  "pricing_source": "https://www.genmo.ai/pricing",
  "rubric": "v2-5dim"
}
// Archive record:
[[0.00s]] Ingest & validate inputs 0.34s OK
[[1.42s]] Queue dispatch 1.12s OK
[[4.18s]] Mochi pass 0.89s OK
[[9.80s]] Encode & delivery 3.40s OK
check_circle ARCHIVE: snapshot 2026-09-15
ENTRY PLAN $10/mo
DEPLOYMENT CLOUD
LAST AUDIT 2026-09-14
DEEP SPECIFICATIONS

Quantitative Technical Architecture

Core capabilities differentiating Genmo from competing video platforms, verified against official documentation.

hub

Mochi

Open-weight text-to-video model.

SOURCE: GENMO T0 VERIFIED
record_voice_over

Replay

Second hosted video model.

SOURCE: GENMO T0 VERIFIED
brush

Queue priority

Faster generations on paid.

SOURCE: GENMO T0 VERIFIED
auto_fix_high

Commercial use

Rights on paid tiers.

SOURCE: GENMO T0 VERIFIED
BENCHMARK BENCH

Direct Peer Competitive Matrix

Direct empirical evaluation alongside leading frontier video synthesis models.

SORTED BY: AIRECMARK BENCH SCORE
Model Architecture AiRecMark Score Modal Inputs Max Render Res Act-One Transfer Starting Tier Status
Genmo Benchmark Leader
Genmo • v2026.9
77.2 freemium check $10/mo snapshot 2026-09-15
Midjourney
Latent Diffusion Synthesis
94.8
Google Veo
Google-Ecosystem Creators
83.2 $19.99/mo
OpusClip
Podcasters & Repurposing Teams
83.2 $15/mo
HeyGen
Marketing and L&D teams produc
82.9 $29/mo
COMPUTE ALLOCATION

Commercial Plans & Scalability

Deterministically scaled credits, queue priority, and enterprise fine-tuning tiers.

Free

Entry tier for evaluation and light individual use.

$0 forever
  • check Mochi
  • check Replay
  • check Queue priority
Most Selected

Pro

Free (250 lifetime credits, watermark) · Lite $10/mo · Standard $50/mo (annual -20%) · Mochi open weights

$10 / mo
  • check_circle Mochi
  • check_circle Replay
  • check_circle Queue priority

Teams

Team seats, shared workspaces and volume pricing.

Custom volume
  • check Team seats & workspaces
  • check Volume discounts
  • check Priority support
  • check Onboarding help

Enterprise

Dedicated infrastructure, security review, and compliance support.

Custom Inquire
  • check SSO / SAML & audit controls
  • check Dedicated support channel
  • check Custom quota & SLA

AiRecMark Archive Record

Compiled from published archive fields Archive-recorded snapshot
Consensus Verdict Signed • 2026-09-14

“Genmo stands out for mochi 1 open-source on GitHub/Hugging Face. Mochi and Replay video models with open weights anchors its proposition, and AiRecMark's five-dimension audit lands it at 77.2/100 — a pragmatic default for open-Weight Video Experimentation.”

Archive Seal: 2026-09-15 Fields: score · dims · pricing