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CostPerPrompt

Nemotron 3.5 Super VL API Pricing

NVIDIA · context window 1M · prices updated 2026-10-23

Input per 1M tokens
$0.15
Output per 1M tokens
$0.5
Cached input per 1M
$0.02
87% cheaper than fresh input

Where Nemotron 3.5 Super VL sits on price

At $0.5 per million output tokens, Nemotron 3.5 Super VL is a mid tier model — 4.3× cheaper than the median output price of $2.16, which puts it cheaper than 81% and pricier than 19% of the models we track. It sits 5th cheapest of the 7 NVIDIA models we track. Output costs 3.3× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
2,000,000
One full context fill
$0.1573
Cheaper than
81% of tracked models

Cached input is 87% cheaper. On an input-heavy workload you need roughly a 29% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.

What real workloads cost on Nemotron 3.5 Super VL

These three workloads are the ones teams actually run on a mid-priced model — a $0.5/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. $0.0014 $21.75
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0007 $210
Long-context analysis — 200 runs/day (250K in / 4K out) Only possible on large-context models; input cost is nearly the whole bill. $0.0395 $237

Model your exact traffic in the API cost calculator — it preloads Nemotron 3.5 Super VL with caching and batch options.

Nemotron 3.5 Super VL price history

NVIDIA last raised Nemotron 3.5 Super VL's output price on Oct 20, 2026 (+25% per output token), from $0.1/$0.4 to $0.15/$0.5 per 1M in/out. That is one of 2 repricings in the 7 days we have tracked it — worth knowing before you hard-code today's rate into a budget.

Date Input /1M Output /1M Output change
Oct 16, 2026 (tracking began) $0.15 $0.5 —
Oct 17, 2026 $0.1 $0.4 -20%
Oct 20, 2026 $0.15 $0.5 +25%

Change-points from our daily price snapshots (tracking since Oct 16, 2026; intraday moves between snapshots are not captured).

Nemotron 3.5 Super VL vs Qwen3 30B A3B

The closest-priced alternative from another vendor is Qwen3 30B A3B (Alibaba (Qwen)) — priced within a rounding error on output, with $0.03 less per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.

See Qwen3 30B A3B pricing →

Cheaper alternatives

More NVIDIA models

Frequently asked questions

› How much does the Nemotron 3.5 Super VL API cost?

Nemotron 3.5 Super VL costs $0.15 per million input tokens and $0.5 per million output tokens, with cached input at $0.02 per million (87% cheaper). That works out to roughly 2,000,000 output tokens per dollar.

› What does the support chatbot workload cost on Nemotron 3.5 Super VL?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0014 per request and $21.75 per month on Nemotron 3.5 Super VL. Conversation history re-sent each turn — the classic prompt-caching win.

› What does it cost to fill Nemotron 3.5 Super VL's 1M context window?

Sending 1M of input in a single request costs $0.1573 at $0.15 per million tokens — before any output. With prompt caching that same fill drops to about $0.021 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

› Is Nemotron 3.5 Super VL worth the price?

Nemotron 3.5 Super VL sits in the middle of the market (5 of 7 by price within NVIDIA). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.