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Nemotron 3 Nano 30B A3B

NVIDIAReleased Dec 15, 2025Open weights · NVIDIA Open Model Licensenemotron-3-nano-30b-a3b

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Reasoning
yes
Knowledge cutoff
June 2024
Context
262K tokens
Max output
32k tokens
Input
text
API features
tools, structured outputs, JSON mode, seed, logprobs

Read Oct 23, 06:00 UTC from the hosts' published offers and OpenRouter, spec sheet from NVIDIA · cutoff: aiknowledgecutoff.com

Lowest input, per M$0.05at Crusoe
Cheapest cache, per M$0.025at DeepInfra
Fastest173 tok/sat Nebius, on OpenRouter
Providers4serve this version

The cheapest host, Crusoe, serves fp8 weights (maker: bf16). Weights and context per host

Run it yourself

open weights, NVIDIA Open Model License · fits 6 of the 6 workstations in our guideSelf-host guide ›
Parameters
30B
3B active per token (MoE)
Memory needed
18 GB
in INT4 · 36 GB in INT8
Smallest cloud setup
RTX 3090
24 GB · $0.17/h, about $124 a month
Worth it above
496M tokens
a month, against the cheapest API at $0.25 per M
QuantizationMemorySmallest cloud GPUQuality
INT4 (Q4)18 GBRTX 3090 · $0.17/hsmallest footprint, minor quality loss
INT8 (Q8)36 GBA100 · $1.19/hnear-lossless
FP16 (full)72 GBA100 · $1.19/hreference quality

At home: in INT4 it fits a RTX 5090 (32 GB) + host PC (plus a host PC), about $3,500 once, or $0.1332/h over 3 years, electricity aside; it pays for itself after about 14B tokens against the cheapest API.

Memory ≈ parameters × bytes per parameter × 1.2 · cloud price: on-demand rate, running 24/7 · builds: GGUF, AWQ, MLX, GPTQ, Ollama · break-even calculator

Sorted by cache price
ProviderInputOutputCache ↑tok/sFirst tokenUptime 24hChecked
DeepInfrafp4 (bf16) · 256K ctx$0.05$0.20$0.025——64.5%Oct 8
Crusoefp8 (bf16) · 256K ctx$0.05$0.20$0.03——100%Oct 7
Novita AIfp4 (bf16) · 256K ctx · 32K out$0.05$0.20————Oct 23
Nebiusfp8 (bf16) · 256K ctx$0.06$0.24—1730.38 s98.3%Oct 23

4 of 4 providers · prices per million tokens, read Oct 23, 06:00 UTC · speed: OpenRouter, median of the last 30 min, read Oct 23, 06:00 UTC · uptime: OpenRouter, last 24 h · under each host: weights precision, context and max output as served, the maker's value in brackets when the host's differs

ProviderWeightsContextMax outputToolsStructured outputsReasoning
Crusoefp8256Knot stated by the host———
Novita AIfp4256K32Kyesnoyes
DeepInfrafp4256Knot stated by the host———
Nebiusfp8256Knot stated by the hostyesyesyes

Weights, context and max output: read at each host's own catalogue or docs where its terms allow, otherwise as the host declares to OpenRouter; hover a cell for its source and date · tools, structured outputs, reasoning: as declared to OpenRouter · not verified by us

Nemotron 3 Nano 30B A3B spec sheet, field by field, with sources

Nemotron 3 Nano 30B A3B spec sheetmaker-declared

What NVIDIA declares about the model itself — read from its own weights repository and documentation, not from any host. What each endpoint actually serves is in the pricing above: the two can differ, and both are true.

Context window
262,144 tokens
Parameters
31,577,937,344≈ 31.6B
Active experts
6 of 128 active per token
Weight precision
bfloat16
License
NVIDIA Open Model License — open weights, conditionalcuratedScope: the licence on the published weights, and nothing else. It is not the maker's acceptable-use policy, which is a separate document, and it is not the contract you sign with whichever host you call — hosts set their own terms, which this index does not read.
Knowledge cutoff
not published by the maker≈ June 2024 third-party estimate — not the maker's figurecurated
Modalities
text
Max output (official)
to verify
Release date
to verify≈ December 15, 2025 third-party catalogue — not the maker's figure
Maker lifecycle status
to verify

Also declared in the weights

Architecture class
NemotronHForCausalLM
Layers
52
Vocabulary
131,072 tokens
Weights first published
December 4, 2025
Weights last updated
August 24, 2026
Languages declared
English · Spanish · French · German · Japanese · Italian

nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 · config.json @ bf77c31 · read 2026-10-08 · 6 of 10 fields published by the maker

ProviderChatbot 1,000 in / 500 outRAG / long context 8,000 in / 500 outBatch summarize 4,000 in / 1,000 out
Crusoe$0.15$0.50$0.40
Novita AI$0.15$0.50$0.40
DeepInfra$0.15$0.50$0.40
Nebius$0.18$0.60$0.48

What each host bills for 1,000 requests of a representative job

Your own workload

    Other NVIDIA models · all its models, hosts and history ›