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ARXIV:2606.02800 · PHYSICAL AI · SUBMITTED 03 JUN · 20:33 UTC · FRESHNESS FRESH
ARXIV:2606.02800PHYSICAL AISUBMITTED 03 JUN · 20:33 UTCFRESHNESS FRESHAditi · Niket Agarwal · Arslan Ali · Jon Allen · Martin Antolini · Adeline Aubame · +285 at arXiv
Cosmos 3 is an omnimodal world model unifying language, vision, video, audio, and action for embodied agents, setting new SOTA benchmarks.
Opportunity summary
Pain Cosmos 3 is an omnimodal world model unifying language, vision, video, audio, and action for embodied agents, setting new SOTA benchmarks.
Evidence 0 refs | 4 sources | 83% coverage
Blocker Evidence unverified
Cosmos 3 is an omnimodal world model unifying language, vision, video, audio, and action for embodied agents, setting new SOTA benchmarks. By supporting highly flexible input-output configurations, Cosmos 3 seamlessly unifies critical modalities for…
We introduce Cosmos 3, a family of omnimodal world models designed to jointly process and generate language, image, video, audio, and action sequences within a unified mixture-of-transformers architecture. By supporting highly flexible input-output configurations,…
ScienceToStartup currently rates this 9.0/10 on the public viability pass. Our evaluation demonstrates that Cosmos 3 establishes a new state-of-the-art across a diverse suite of understanding and generation tasks, demonstrating omnimodal world models as…
Physical AI moved forward this cycle; last verified June 2026. Public score 9.0/10. Implementation evidence is present through a linked repository.
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mobile layout uses overflow-hidden min-w-0 break-wordsOpportunity summary
Score9.0Public score shown from the verified overall while the stale axis breakdown refreshesAnalysis summary
Cosmos 3 is an omnimodal world model unifying language, vision, video, audio, and action for embodied agents, setting new SOTA benchmarks.
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10.48550/arXiv.2606.02800Cosmos 3 is an omnimodal world model unifying language, vision, video, audio, and action for embodied agents, setting new SOTA benchmarks.
Abstract
We introduce Cosmos 3, a family of omnimodal world models designed to jointly process and generate language, image, video, audio, and action sequences within a unified mixture-of-transformers architecture. By supporting highly flexible input-output configurations, Cosmos 3 seamlessly unifies critical modalities for Physical AI -- effectively subsuming vision-language models, video generators, world simulators, and world-action models into a single framework. Our evaluation demonstrates that Cosmos 3 establishes a new state-of-the-art across a diverse suite of understanding and generation tasks, demonstrating omnimodal world models as scalable, general-purpose backbones for embodied agents. Our post-trained Cosmos 3 models were ranked as the best open-source Text-to-Image and Image-to-Video models by Artificial Analysis, and the best policy model by RoboArena at the time the technical report was written. To accelerate open research and deployment in Physical AI, we make our code, model checkpoints, curated synthetic datasets, and evaluation benchmark available under the Linux Foundation's OpenMDW-1.1 https://openmdw.ai/license/1-1/ License at https://github.com/nvidia/cosmos}{github.com/nvidia/cosmos and https://huggingface.co/collections/nvidia/cosmos3 . The project website is available at https://research.nvidia.com/labs/cosmos-lab/cosmos3 .
Source availability
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Extraction status
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Proof status
unverified0 refs; 4 sources; 83% coverage.
What was readable
Derived fallback: Estimated from adjacent evidence; not verified from source.
Viability
Time to MVP
Commercial
Export
Preparing verified analysis
Dimensions overall score 9.0
PROBLEM
Cosmos 3 is an omnimodal world model unifying language, vision, video, audio, and action for embodied agents, setting new SOTA benchmarks. By supporting highly flexible input-output configurations, Cosmos 3 seamlessly unifies critical modalities for Physical AI -- effectively su...
METHOD
We introduce Cosmos 3, a family of omnimodal world models designed to jointly process and generate language, image, video, audio, and action sequences within a unified mixture-of-transformers architecture. By supporting highly flexible input-output configurations, Cosmos 3 seaml...
RESULT
ScienceToStartup currently rates this 9.0/10 on the public viability pass. Our evaluation demonstrates that Cosmos 3 establishes a new state-of-the-art across a diverse suite of understanding and generation tasks, demonstrating omnimodal world models as scalable, general-purpose...
WHY NOW
Physical AI moved forward this cycle; last verified June 2026. Public score 9.0/10. Implementation evidence is present through a linked repository.
T2V-720p T2I-720p T2V-720p multi-GPU |297.3 PyTorch-OSS| | |---|---| |286.33 vLLM-Omni| | |114.8 107.8|8| | | | |4.21 PyTorch-OSS| |---| |3.44 2.87 vLLM-Omni| | | |1
Implication not extracted yet.
partial
a family of omnimodal world models designed to jointly process and generate language, image, video, audio, and action sequences within a unified mixture-of-transformers architecture.
Directly stated in the abstract with explicit enumeration of modalities.
partial
Our evaluation demonstrates that Cosmos 3 establishes a new state-of-the-art across a diverse suite of understanding and generation tasks
Explicitly claimed in the abstract, though specific tasks and metrics are not detailed in the provided excerpt.
partial
Our post-trained Cosmos 3 models were ranked as the best open-source Text-to-Image and Image-to-Video models by Artificial Analysis
Directly stated in the abstract with a specific ranking source.
partial
the best policy model by RoboArena at the time the technical report was written.
Directly stated in the abstract with a specific ranking source.
partial
within a unified mixture-of-transformers architecture.
Directly stated in the abstract.
partial
effectively subsuming vision-language models, video generators, world simulators, and world-action models into a single framework.
Directly stated in the abstract, though the exact scope of 'subsumes' may require further clarification.
partial
we make our code, model checkpoints, curated synthetic datasets, and evaluation benchmark available under the Linux Foundation's OpenMDW-1.1 https://openmdw.ai/license/1-1/ License
Directly stated in the abstract with a specific license and repository links.
partial
We introduce Cosmos 3, a family of omnimodal world models designed to jointly process and generate language, image, video, audio, and action sequences within a unified mixture-of-transformers architecture.
Directly stated in the abstract with clear enumeration of modalities and architecture.
partial
Our evaluation demonstrates that Cosmos 3 establishes a new state-of-the-art across a diverse suite of understanding and generation tasks
Explicitly claimed in the abstract, though specific tasks and metrics are not detailed in the provided excerpt.
partial
Our post-trained Cosmos 3 models were ranked as the best open-source Text-to-Image and Image-to-Video models by Artificial Analysis
Directly stated in the abstract with specific ranking source.
partial
and the best policy model by RoboArena at the time the technical report was written.
Directly stated in the abstract with specific ranking source and time qualifier.
partial
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Concepts
Methods
Materials
Markets
Competitors
Cosmos 3 is an omnimodal world model unifying language, vision, video, audio, and action for embodied agents, setting new SOTA benchmarks.
Segment
Physical AI
Adoption evidence
Public code linked for build inspection
Commercial read
9.0/10 public viability
Direct
Adjacent
Substitute
Unknown
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CITED BY
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2/3 checks · 67%
Build Passport
Build passport pending - Proof Lab budget No verified cost estimate / $7.00 cap
status
missing
reason
passport_row_missing
proof status
unverified
cost/budget
No verified cost estimate
confidence low
next verification path
Build brief missing until Build Passport data exists.
Source missing: Build Passport payload.
Experiment plan missing until prototype path is available.
No prototype path attached.
Validation checklist missing until required assets, cost, and regulatory flags are verified.
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Derived signals show verified:false until source-backed receipts exist.
Evidence coverage
OpportunityKernel evidence_receipt
0 refs / 4 sources / 83% coverage
fresh
Verify missing sources before using this as buyer proof. verified:false
Build readiness
BuildPassport EvidenceState
passport absent
fresh
Run Proof Lab or inspect typed missing state. verified:false
Artifact maturity
GitHub and Hugging Face maturity payloads
No public artifact surface observed
fresh
Open source artifacts or mark the gap as missing. verified:false
Technical feasibility
partial
Current read
Runnable path is not fully verified.
Evidence
No Build Passport payload attached.
Gaps
Next test
Run minimal reproduction from the Build Passport prototype path.
Market urgency
missing
Current read
Buyer urgency is not verified from source.
Evidence
0 references, 4 sources, 83% evidence coverage.
Gaps
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Collect buyer interview, deployment evidence, or cited demand signal.
Buyer clarity
missing
Current read
No budget owner is verified for this paper.
Evidence
Build tab has no CRM, procurement, or operator source.
Gaps
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Map target operator, economic buyer, and procurement trigger.
Defensibility
missing
Current read
Defensibility signals are missing.
Evidence
No defensibility receipt attached.
Gaps
Next test
Refresh defensibility bars with source receipts.
Integration burden
missing
Current read
No public implementation surface observed.
Evidence
No GitHub or Hugging Face payload attached.
Gaps
Next test
Write integration checklist from prototype path and target workflow.
Capital intensity
missing
Current read
No observed cost estimate is verified.
Evidence
Cost passport has no observed_usd value.
Gaps
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Run cost passport or mark the cost field not applicable.
Regulatory load
missing
Current read
No regulatory classification is attached.
Evidence
Build Passport ledger does not include regulatory flags.
Gaps
Next test
Classify regulatory flags before commercialization planning.
No named scientific founder assigned.
Paper authors are not treated as operators without consent.
People
No named person assigned.
Gaps
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Prototype owner missing.
Build Passport does not name an implementer.
People
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Operator workflow not sourced.
No buyer or workflow interview attached.
People
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No CRM or outreach source attached.
People
No named person assigned.
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Regulatory need unclassified.
No clinical or regulatory source attached.
People
No named person assigned.
Gaps
Next verification path
ARTIFACTS
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DEFENSIBILITY
Defensibility and confidence evidence pending.
WATCHTOWER
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FORESIGHT
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OPPORTUNITYKERNEL CHANGES SINCE LAST VIEW
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COMPETITIVE LANDSCAPE UPDATES
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RELATED PAPER UPDATES
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TIMELINE
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BUZZ
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