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Model profile

Nemotron 3 Super 100B

NVIDIAEstablishedReleased Jan 15, 2026
Data verified
Overall Score
50.08Public #117 of 200
Arena Elo
1260
Eligible category ranks
0of 8
Price (1M tokens)
$0 in / $0 out
API pricing
Speed
367tok/s
Context
1M

Evidence coverage

1 of 321 tracked benchmarks is published. 1 is verified and 0 provisional. 1 of 8 categories are measured.

Updated July 20, 2026Methodology
Published / tracked
1 / 321
Verified
1
Provisional
0
Categories with evidence
1 / 8

Evidence by category

  • Agentic1 benchmark
    Verified
  • 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-hostNon-Reasoning
Confidence:
Low
base

Nemotron 3 Super 100B ranks #117 out of 200 models on the public leaderboard with an overall score of 50.08/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

Nemotron 3 Super 100B is a open weight model with a 1M token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

This profile currently has 1 of 321 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

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 49.8950.28

  1. DeepSeek Coder 2.0
    DeepSeek
    #11450.28
    DeepSeek Coder 2.0 is #114 with a score of 50.28.
    Compare
  2. Seed 1.6
    ByteDance
    #11550.23
    Seed 1.6 is #115 with a score of 50.23.
    Compare
  3. GPT-OSS 120B
    OpenAI
    #11650.08
    GPT-OSS 120B is #116 with a score of 50.08.
    Compare
  4. Nemotron 3 Super 100BCurrent model
    NVIDIA
    #11750.08
    Nemotron 3 Super 100B is #117 with a score of 50.08.
  5. o4-mini (high)
    OpenAI
    #11849.98
    o4-mini (high) is #118 with a score of 49.98.
    Compare
  6. DeepSeekMath V2
    DeepSeek
    #11949.89
    DeepSeekMath V2 is #119 with a score of 49.89.
    Compare
  7. Qwen2.5-1M
    Alibaba
    #12049.89
    Qwen2.5-1M is #120 with a score of 49.89.
    Compare

Category percentile

More

Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.

No eligible category percentile is available from the published evidence yet.

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
AgenticRank Not rankedWeight 22%1 benchmarkVerified56.7
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

Chatbot Arena performance

Scroll horizontally to inspect confidence intervals and vote counts.

Chatbot Arena Elo, confidence interval, and vote count by evaluation view
ViewEloConfidence intervalVotes
Text Overall1260Not availableNot available

Benchmark Details

Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.

Agentic1 benchmark
Claw-EvalBenchmark exact
5.5%Display only
Source: Claw-Eval leaderboardProvenance: Claw-Eval reports this model as nemotron3_super in the official 2026-05-09 leaderboard snapshot. BenchLM stores the primary Pass^3 value on the local Claw-Eval display key.

Frequently Asked Questions

How does Nemotron 3 Super 100B perform overall in AI benchmarks?

Nemotron 3 Super 100B has 1 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is Nemotron 3 Super 100B good for agentic tool use and computer tasks?

Nemotron 3 Super 100B has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.

Is Nemotron 3 Super 100B open source?

Yes, Nemotron 3 Super 100B is an open weight model created by NVIDIA, meaning it can be downloaded and run locally or fine-tuned for specific use cases.

Does Nemotron 3 Super 100B have full benchmark coverage on BenchLM?

Not yet. Nemotron 3 Super 100B currently has 1 published benchmark scores out of the 321 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 Nemotron 3 Super 100B?

Nemotron 3 Super 100B has a published context window of 1M, which determines how much text it can process in a single interaction.

Last updated: July 20, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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