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Model profile

Cosmos3-Edge

NVIDIACurrentReleased Jul 20, 2026
Data verified
Overall Score
Coming soon
Arena Elo
Not listed
Eligible category ranks
0of 8
Price (1M tokens)
$0 in / $0 out
API pricing
Speed
Not listed
Context
256K

Evidence coverage

0 of 323 tracked benchmarks are published. 0 are verified and 0 provisional. 0 of 8 categories are measured.

Updated July 21, 2026Methodology
Published / tracked
0 / 323
Verified
0
Provisional
0
Categories with evidence
0 / 8

Evidence by category

  • Agentic0 benchmarks
    Not measured
  • Coding0 benchmarks
    Not measured
  • Reasoning0 benchmarks
    Not measured
  • Knowledge0 benchmarks
    Not measured
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following0 benchmarks
    Not measured
Open WeightSelf-hostReasoning
Confidence:
Low
edge

BenchLM is tracking Cosmos3-Edge, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.

Cosmos3-Edge is a open weight model with a 256K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

Open weights are available on Hugging Face under OpenMDW-1.1 for commercial and non-commercial use. NVIDIA provides PyTorch and vLLM-Omni integration guidance but no first-party hosted token price for this checkpoint.

This profile does not yet have sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 77.4483.93

  1. Claude Mythos 5
    Anthropic
    #183.93
    Claude Mythos 5 is #1 with a score of 83.93.
    Compare
  2. Claude Fable 5
    Anthropic
    #283.68
    Claude Fable 5 is #2 with a score of 83.68.
    Compare
  3. GPT-5.6 Sol
    OpenAI
    #381.96
    GPT-5.6 Sol is #3 with a score of 81.96.
    Compare
  4. Kimi K3
    Moonshot AI
    #480.96
    Kimi K3 is #4 with a score of 80.96.
    Compare
  5. Claude Opus 4.8
    Anthropic
    #578.34
    Claude Opus 4.8 is #5 with a score of 78.34.
    Compare
  6. Muse Spark 1.1
    Meta
    #677.44
    Muse Spark 1.1 is #6 with a score of 77.44.
    Compare
  7. Cosmos3-EdgeCurrent model
    NVIDIA
    UnrankedNot measured
    Cosmos3-Edge is Unranked with a score of Not measured.

Benchmark data coming soon

BenchLM has created this model profile, but no sourced benchmark rows are published here yet. Category charts, rankings, and score tables will appear after public evaluations are available and attached to source records.

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%0 benchmarksNot measuredNot measured
CodingWeight 20%0 benchmarksNot measuredNot measured
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Frequently Asked Questions

How does Cosmos3-Edge perform overall in AI benchmarks?

We are tracking Cosmos3-Edge, but sourced benchmark coverage is still coming soon. The profile lists only the model metadata that has a verified public source.

Is Cosmos3-Edge open source?

Yes, Cosmos3-Edge is an open weight model created by NVIDIA, meaning it can be downloaded and run locally or fine-tuned for specific use cases.

Does Cosmos3-Edge have full benchmark coverage on BenchLM?

Not yet. Cosmos3-Edge currently has 0 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Cosmos3-Edge?

Cosmos3-Edge has a published context window of 256K, which determines how much text it can process in a single interaction.

Last updated: July 21, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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