NVIDIA
This model improves the accuracy over all of gpt-oss-120b-Eagle3-short-context, gpt-oss-120b-Eagle3-long-context, and gpt-oss-120b-Eagle3-throughput. This model is recommended for all use-cases where one of the previous models is used.
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32.2
Quality Score
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Arena ELO
787M
Parameters
131K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
17 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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6.8K
Downloads
13
Likes
Mar 2026
Released
5/5 signals
3/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
787M
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
nvidia/gpt-oss-120b-Eagle3-v3 · Hugging Face
NVIDIA published benchmark or leaderboard evidence for gpt-oss-120b-Eagle3-v3.
View sourcenvidia/gpt-oss-120b-Eagle3-v3 · Hugging Face
NVIDIA published benchmark or leaderboard evidence for gpt-oss-120b-Eagle3-v3.
View source