Context
262K tokens (~131 books)
Input $/1M
n/a
Output $/1M
n/a
Type
multimodal
License
Proprietary
Benchmarks
0 tested
Data as of
About
NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB is an open vision-language model compressed from Nemotron 3.5 Super VL, with 74B total and 9B active parameters and native 2-bit expert weights so it fits in 24GB for local agents on RTX and DGX Spark. Up to 256K tokens of context. OpenMDW-1.1.
No benchmark data available yet.
Links
Research
Documentation
Community
BenchGecko API
nemotron-3-5-bolt-74b-a9b
Specifications
- Typemultimodal
- Context262K tokens (~131 books)
- ReleasedOct 2026
- LicenseProprietary
- StatusActive
Available On
Learn More
Share & Export
Frequently Asked Questions
Nemotron 3.5 Bolt 74B-A9B is a proprietary multimodal AI model by NVIDIA, released in October 2026. Context window: 262K tokens.
Related Models
Qwen3 Coder Next FP8 · AlibabaQwen2.5 Coder 32B Instruct AWQ · AlibabaSpeaker Diarization Community 1 · PyannoteGemma 3 12B (free) · Google DeepMindQwen3 Next 80B A3B Instruct (free) · Alibaba QwenBenchmarks
Key facts · as of 2026-10-15
- Nemotron 3.5 Bolt 74B-A9B by NVIDIA. Not enough public benchmark scores to rank yet.
- List price n/a input · n/a output per 1M tokens (as of 2026-10-15).
How to cite · data as of 2026-10-15
Nemotron 3.5 Bolt 74B-A9B · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-15. https://benchgecko.ai/model/nemotron-3-5-bolt-74b-a9b
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP