Google: Gemini 3 Flash Preview (batch) vs NVIDIA: Nemotron 3.5 Super VL
Neither wins outright: Google: Gemini 3 Flash Preview (batch) is the pick when you need audio input, NVIDIA: Nemotron 3.5 Super VL when cost matters at scale.
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
Workload (per month)
Google: Gemini 3 Flash Preview (batch)
NVIDIA: Nemotron 3.5 Super VL
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$48.75
$21.25
NVIDIA: Nemotron 3.5 Super VL saves $27.50
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$45.00
$23.00
NVIDIA: Nemotron 3.5 Super VL saves $22.00
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$48.00
$24.00
NVIDIA: Nemotron 3.5 Super VL saves $24.00
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$29.00
$15.00
NVIDIA: Nemotron 3.5 Super VL saves $14.00
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$14.00
$8.00
NVIDIA: Nemotron 3.5 Super VL saves $6.00
Capabilities side by side
Capability
Google: Gemini 3 Flash Preview (batch)
NVIDIA: Nemotron 3.5 Super VL
What it lets you do
Tool / function calling
✓ Yes
✓ Yes
call your APIs and run agent loops
Structured output (JSON schema)
✓ Yes
✓ Yes
return JSON that validates against your schema
Reasoning / thinking mode
✓ Yes
✓ Yes
spend extra tokens thinking before answering hard problems
Image input
✓ Yes
✓ Yes
read screenshots, charts and scanned pages
Audio input
✓ Yes
—
take speech or audio directly
File / PDF input
✓ Yes
—
accept documents without your own parsing step
Image output
—
—
generate images, not just text
Built-in web search
✓ Yes
—
answer from live web results
Seed (reproducible sampling)
✓ Yes
✓ Yes
repeat a generation for tests and evals
Log-probabilities
—
✓ Yes
read token confidence for classification and scoring
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Price history
Google: Gemini 3 Flash Preview (batch): price unchanged since we started tracking it on 2026-08-07.
NVIDIA: Nemotron 3.5 Super VL: price unchanged since we started tracking it on 2026-10-16.
Which should you choose?
Choose Google: Gemini 3 Flash Preview (batch) if…
you need audio input — to take speech or audio directly; NVIDIA: Nemotron 3.5 Super VL does not advertise it
you need file / PDF input — to accept documents without your own parsing step; NVIDIA: Nemotron 3.5 Super VL does not advertise it
you need built-in web search — to answer from live web results; NVIDIA: Nemotron 3.5 Super VL does not advertise it
Choose NVIDIA: Nemotron 3.5 Super VL if…
cost matters at scale — it is 58% cheaper on a typical 3:1 input/output mix ($21.25 vs $48.75 a month for 50,000 support chats)
you need log-probabilities — to read token confidence for classification and scoring; Google: Gemini 3 Flash Preview (batch) does not advertise it
you generate long outputs in one go — up to 236K tokens (about 176,900 words) per response
you want to prototype at zero cost — a free variant is listed
you want the newer model — released 2026-10-15, 10 months after the other
Frequently asked questions
Is Google: Gemini 3 Flash Preview (batch) better than NVIDIA: Nemotron 3.5 Super VL?
Neither wins outright: Google: Gemini 3 Flash Preview (batch) is the pick when you need audio input, NVIDIA: Nemotron 3.5 Super VL when cost matters at scale. In short: Google: Gemini 3 Flash Preview (batch) when you need audio input, you need file / PDF input, you need built-in web search; NVIDIA: Nemotron 3.5 Super VL when cost matters at scale, you need log-probabilities, you generate long outputs in one go, you want to prototype at zero cost, you want the newer model.
Which is cheaper, Google: Gemini 3 Flash Preview (batch) or NVIDIA: Nemotron 3.5 Super VL?
NVIDIA: Nemotron 3.5 Super VL is cheaper: $0.24 vs $0.56 per 1M tokens at a typical 3:1 input/output mix, 58% less. For 50,000 support conversations a month that is $21.25 against $48.75.
How much do Google: Gemini 3 Flash Preview (batch) and NVIDIA: Nemotron 3.5 Super VL cost per million tokens?
Google: Gemini 3 Flash Preview (batch) costs $0.25 per 1M input tokens and $1.50 per 1M output tokens; NVIDIA: Nemotron 3.5 Super VL costs $0.15 input and $0.50 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, Google: Gemini 3 Flash Preview (batch) or NVIDIA: Nemotron 3.5 Super VL?
Both take 1.0M tokens per request — roughly 1,573 pages of text.
Do Google: Gemini 3 Flash Preview (batch) and NVIDIA: Nemotron 3.5 Super VL support function calling and JSON output?
Can Google: Gemini 3 Flash Preview (batch) or NVIDIA: Nemotron 3.5 Super VL read images?
Yes, both accept image input.
Is Google: Gemini 3 Flash Preview (batch) or NVIDIA: Nemotron 3.5 Super VL free to use?
NVIDIA: Nemotron 3.5 Super VL has a free variant (nvidia/nemotron-3.5-super-vl:free). Free variants usually carry tighter rate limits.
What is the maximum output length of Google: Gemini 3 Flash Preview (batch) and NVIDIA: Nemotron 3.5 Super VL?
Google: Gemini 3 Flash Preview (batch) can write up to 66K tokens (about 49,200 words) per response; NVIDIA: Nemotron 3.5 Super VL up to 236K (about 176,900 words).
When were Google: Gemini 3 Flash Preview (batch) and NVIDIA: Nemotron 3.5 Super VL released?
Google: Gemini 3 Flash Preview (batch) was listed on 2025-12-17; NVIDIA: Nemotron 3.5 Super VL on 2026-10-15.
Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool...
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...