Benchmark Almanac

NV Chat Benchmark

Nemotron 3.5 Super VL 52.7 leads since October 2026
In use

Models answer chat prompts from an internal NVIDIA set. The Nemotron 3.5 Super VL card labels the score an LMArena v3 proxy.

The technical report calls it an internal chat benchmark developed at NVIDIA and gives no method details. The scoring type is a guess.

Made by
NVIDIA
Released
October 2026
Kind
Overall chat quality
Level
Everyday
Scored
Graded by a model
Answers
Open-ended
Tasks
Kept private
Last in a launch post
October 2026
Last model added
October 2026
2
Models scored in lab cards
1
Launch post lists it, from 1 lab
2
System cards report it, from 1 lab

Nemotron 3.5 Super VL leads with 52.7

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 1 Nemotron 3.5 Super VL 52.7
  2. 2 Nemotron 3.5 Lightning 30B-A3B 12.1

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Nemotron 3.5 Super VL 52.7 Oct 2026 Lab model card
2 Nemotron 3.5 Lightning 30B-A3B 12.1 Oct 2026 Lab model card

Number one over time

Lab claims count from the day the card came out, independent runs from the model’s release.

NVIDIA
Lab claims 1 leader

Source: Labs’ model cards

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
10.0 20.0 30.0 40.0 50.0 60.0 10.0 20.0 30.0 40.0 50.0 60.0

Source: Labs’ model cards

One lab put it in a launch post in the last six months

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

NVIDIA
DateLaunch postScoreAs the post writes it
Oct 15, 2026 Nemotron 3.5 Super VL 52.7 LMArena v3 proxy (NV Chat Benchmark in the technical report)

2 system cards report it, from 1 lab

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
Oct 15, 2026 Nemotron 3.5 Super VL technical report 52.7 NV Chat Benchmark, win rate judged by Gemini 3.1 Pro (Table 10) Capabilities
Oct 15, 2026 Nemotron 3.5 Lightning 30B-A3B technical report 12.1 LM Arena Proxy, BF16 acc. (Table 22), the row Table 23 calls NV Chat Benchmark Capabilities

More in Instructions and chat

All 81 in Instructions and chat
  • IFEval In use Models answer about 500 prompts containing verifiable instructions such as word limits or required keywords. Code checks each instruction for strict and loose accuracy. Gemma 4 31B IT 98.9%
  • IFBench In use 58 new out-of-domain verifiable output constraints. Scored by programmatic constraint checks (strict or loose). Nemotron-Cascade 2 30B-A3B 82.9%
  • MultiChallenge In use Multi-turn conversations testing instruction retention, inference memory, versioned editing and self-coherence. Graded by LLM judge with rubrics. GPT-6.1 Sol 82%
  • Multi-IF In use Models follow verifiable instructions over three-turn conversations in eight languages, extending IFEval. Scored by instruction accuracy at each turn. LFM3-1.7B 89.1%
  • AdvancedIF In use Models respond to over 1,600 prompts with complex, multi-turn, and system-level instructions. A judge model checks each response against expert-written rubrics. MAI-Thinking-1 85%
  • IFStruct In use Models generate JSON or YAML that must follow a requested schema and phrasing constraints, without constrained decoding. A response passes only if every structural constraint holds. Gemma 4 31B IT 95.9%