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NVIDIA / nvidia/Cosmos3-Nano-Sim-Bimanual

Cosmos3-Nano-Sim-Bimanual

NVIDIA causal model for visually simulating bimanual manipulation and camera navigation, published on October 20, 2026. It receives an initial image, robot actions, camera trajectory, and optional text. Its output is video, not actions: it should not be confused with a control policy. The checkpoint declares an AgiBot body; other morphologies require specific validation.

01 / SUMMARY

The essential

ORIENTATIONAction-conditioned simulation

Primary use stated or inferred cautiously from official documentation.

CONTEXTInitial image, actions, and camera trajectory

Maximum input capacity when published by the source.

EXITVideo at 480p; playback at 30 fps

Documented maximum generation limit.

ACCESSHugging Face · downloadable checkpoint

Verified availability channels.

MODEL TYPERobotics · Video · Multimodal

Primary functional family and verified specialties.

LICENSEOpenMDW 1.1

Declared terms for API access, model weights, or self-hosting.

02 / TECHNICAL SHEET

Limits and integration

API IDnvidia/Cosmos3-Nano-Sim-Bimanual
Model typeRobotics · Video · Multimodal
Access modelOpen weights
LicenseOpenMDW 1.1
DeploymentSelf-hosted
Release20 OCT 2026
Knowledge cutoffNot published
EntranceText · Image · Actions
ExitVideo
Context windowInitial image, actions, and camera trajectory
maximum outputVideo at 480p; playback at 30 fps
ReasoningNot published
Published tools
Structured OutingsNot published
Batch processingNot published
Prompt cacheNot published
Fine-tuningNot published
Verified platformsHugging Face · PyTorch
BEST SUITED FOR

Exploration of visual consequences of actions and evaluation of closed-loop navigation. History and causal fragments allow interleaving controls and generation. The declared resolution is 480p with playback at 30 fps. We do not inherit the 600-frame maximum from Sim-Transfer: we have not verified an equivalent universal maximum for this variant.

WORTH MONITORING

The ability to represent movements does not guarantee that it respects collisions, forces, or robot limits. Preserve camera calibration and the definition of each action dimension. Review object changes, drift, and cumulative errors. Do not execute actions on real hardware solely because the video seems plausible; supervision and safety limits are independent.

03 / CAPABILITIES

What it can do

01

Orientation

Exploration of visual consequences of actions and evaluation of closed-loop navigation. History and causal fragments allow interleaving controls and generation. The declared resolution is 480p with playback at 30 fps. We do not inherit the 600-frame maximum from Sim-Transfer: we have not verified an equivalent universal maximum for this variant.

02

Context

Initial image, actions, and camera trajectory · Video at 480p; playback at 30 fps

03

Tools and integration

Not published

04

Access

Hugging Face · downloadable checkpoint

Input modalities
TextImageActions
04 / PRICES

Documented cost

ConceptWorthUnit/condition
Standard inputNo published official API rateStandard API rate
Cached inputNot publishedReading reused prefixes
Cache write or storageNot publishedThe condition varies by provider
Standard outputSelf-hosted infrastructure costMay include reasoning tokens
Batch inputNot publishedAsynchronous processing
Batch outputNot publishedAsynchronous processing

Public 16B parameter checkpoint for self-hosted infrastructure. We have not verified a commercial endpoint or token rates: numerical costs are left blank. Downloadable weights do not make inference free. Budget for GPU, memory, video encoding, and operation; review the license of each variant and its dependencies. Playback frames per second do not equate to generation performance.

i Prices change and may depend on level, region or context length. Check the source before making a decision.

05 / EVALUATIONS

How to read the results

“

The model card separates PAI-Bench-G I2V, Sana-WM navigation, and AgiBot manipulation. For PAI-Bench-G, we publish video quality and ATE after the described alignment protocol. A navigation score does not certify manipulation nor should it be averaged with PSNR. The results come from NVIDIA and have not been reproduced by Inferama.

Inferama only highlights a “best result” when the metric, test set, configuration, and date allow for an equivalent comparison. The supplier's figures are presented as claims from its own source.

06 / VERSIONS

Chronology

Cosmos3-Nano-Sim-Bimanual

Version added to Inferama's verified catalog.

07 / SOURCES

Traceability