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Nemotron 3.5 Super VL

NVIDIAReleased Oct 15, 2026Open weights · OpenMDW-1.1nemotron-3.5-super-vl

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Reasoning
yes
Context
1M tokens
Max output
128k tokens
Input
text, image
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

Free right now

  • Free OpenRouter, served by Nvidia · no end date · 20 req/min, 50 req/day, 1,000 req/day with $10 of credits

Checked Oct 23 · every free model on Deals

Lowest input, per M$0.10at Crusoe
Cheapest cache, per M$0.02at Together AI
Fastest388 tok/sat CoreWeave, on OpenRouter
Providers7serve this version

The cheapest host, Crusoe, serves a 256K context (maker: 1M). Weights and context per host

Speed by provider

Output speed of Nemotron 3.5 Super VL at each host, fastest first

Speed: OpenRouter, median of the last 30 min, read Oct 23, 06:00 UTC · a snapshot of real traffic before the daily read, not a daily average · bars from zero.

Run it yourself

open weights, OpenMDW-1.1 · fits 4 of the 6 workstations in our guideSelf-host guide ›
Parameters
120B
12B active per token (MoE)
Memory needed
72 GB
in INT4 · 144 GB in INT8
Smallest cloud setup
A100
80 GB · $1.19/h, about $869 a month
Worth it above
2B tokens
a month, against the cheapest API at $0.50 per M
QuantizationMemorySmallest cloud GPUQuality
INT4 (Q4)72 GBA100 · $1.19/hsmallest footprint, minor quality loss
INT8 (Q8)144 GB2× H100 · $4.30/hnear-lossless
FP16 (full)288 GB4× H100 · $8.60/hreference quality

At home: in INT4 it fits a Mac Studio M5 Ultra (96 GB unified), about $5,499 once, or $0.2092/h over 3 years, electricity aside; it pays for itself after about 11B 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
Together AInvfp4 (bf16) · 256K ctx (1M)$0.15$0.50$0.023010.34 s99.9%Oct 23
DeepInfrafp4 (bf16) · 256K ctx (1M)$0.15$0.50$0.02441.06 s97.2%Oct 23
CoreWeavenvfp4 (bf16) · 1M ctx$0.15$0.50$0.023880.93 s97.5%Oct 23
Io Netnvfp4 (bf16) · 256K ctx (1M) · 128K out$0.15$0.50$0.022410.57 s95.7%Oct 23
BaseTenfp4 (bf16) · 1M ctx$0.20$0.50$0.042870.63 s100%Oct 23
Crusoebf16 · 256K ctx (1M)$0.10$0.40$0.083090.39 s95.6%Oct 23
Venicefp4 (bf16) · 256K ctx (1M) · 32K out$0.25$1.25$0.13440.80 s92.8%Oct 23

7 of 7 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
Crusoebf16256Knot stated by the hostyesyesyes
Together AInvfp4256Knot stated by the hostyesyesyes
DeepInfrafp4256Knot stated by the hostyesyesyes
CoreWeavenvfp41Mnot checked yetyesyesyes
Io Netnvfp4256K128Kyesnoyes
BaseTenfp41Mnot checked yetyesnoyes
Venicefp4256K32Kyesyesyes

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 3.5 Super VL spec sheet, field by field, with sources

Nemotron 3.5 Super VL 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
1,048,576 tokens
Parameters
124,453,395,976≈ 124.5B
Active experts
22 of 512 active per token
Weight precision
BF16
License
OpenMDW-1.1 — open weights, permissiveScope: 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
Modalities
text · image
Max output (official)
not published by the maker
Release date
October 15, 2026
Maker lifecycle status
not published by the maker

Also declared in the weights

Architecture class
NemotronH_Omni_Reasoning_V3
Vocabulary
131,072 tokens
Weights first published
October 12, 2026
Weights last updated
October 15, 2026
Languages declared
English · Spanish · French · German · Italian · Japanese

nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 · config.json @ a1ccf94 · read 2026-10-15 · 7 of 10 fields published by the maker

DateProviderInputOutputChange
Oct 20DeepInfra$0.10 → $0.15$0.40 → $0.50+30%
Oct 17CoreWeave$0.15 → $0.15$0.75 → $0.50−28%
Oct 17DeepInfra$0.20 → $0.10$1.00 → $0.40−58%

Every published change of input or output price, newest first · change on input + output · full series: pricing-history.csv.

ProviderChatbot 1,000 in / 500 outRAG / long context 8,000 in / 500 outBatch summarize 4,000 in / 1,000 out
Crusoe$0.30$1.00$0.80
Together AI$0.40$1.45$1.10
DeepInfra$0.40$1.45$1.10
CoreWeave$0.40$1.45$1.10
Io Net$0.40$1.45$1.10
BaseTen$0.45$1.85$1.30
Venice$0.88$2.62$2.25

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

Your own workload

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