NVIDIA
RankedEnough results for an index.Nemotron 3.5 Bolt 74B-A9B
Nemotron 3.5 Bolt 74B-A9B is a reasoning model from NVIDIA. 11 benchmarks count toward its index, in 4 categories.
IndexAll categories, out of 100.46.4±7.9Median 51.0
CoverageIndex weight that has results.70%
SpeedOutput tokens per second.—Median 67/s
First tokenSeconds to the first output token.—Median 1.3 s
Input / 1MUS dollars per 1M input tokens.—Median $0.60
Output / 1MUS dollars per 1M output tokens.—Median $2.55
ContextMaximum tokens in one request.256KMedian 262K
EloLMArena rating and rank.—Median 1422
Run locally
74.04B parameters- 16-bit
- 156.5 GB
- 8-bit
- 83.6 GB
- 4-bit
- 48.1 GB
Memory need with a short context. The 4-bit copy fits in 64 GB. Compare local models
Capabilities
Index per category, out of 100.Results
11 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Sources
BenchLMCC BY-NC 4.0History
5 releases23 Oct 202612 Nov 2026
Questions
- How good is Nemotron 3.5 Bolt 74B-A9B?
- Its index is 46.4 out of 100. That is place 174 of 283 ranked models.
- What is Nemotron 3.5 Bolt 74B-A9B best at?
- Knowledge: 53.0 out of 100, place 112 of 268.
- What is the context window of Nemotron 3.5 Bolt 74B-A9B?
- 256K tokens.
- Is Nemotron 3.5 Bolt 74B-A9B open source?
- Yes. Its weights are published.
- When was Nemotron 3.5 Bolt 74B-A9B released?
- October 2026.
Badge
- HTML
<a href="https://inference360.ai/models/nemotron-3-5-bolt-74b-a9b"><img src="https://inference360.ai/badges/nemotron-3-5-bolt-74b-a9b.svg" alt="Nemotron 3.5 Bolt 74B-A9B on Inference360: place 174 of 283, index 46.4" height="20"></a>- Markdown
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