Google: Gemini 2.5 Flash Lite vs NVIDIA: Nemotron 3.5 Super VL
Neither wins outright: Google: Gemini 2.5 Flash Lite is the pick when cost matters at scale, NVIDIA: Nemotron 3.5 Super VL when you need log-probabilities.
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 2.5 Flash Lite
NVIDIA: Nemotron 3.5 Super VL
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$15.50
$21.25
Google: Gemini 2.5 Flash Lite saves $5.75
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$16.00
$23.00
Google: Gemini 2.5 Flash Lite saves $7.00
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)
$16.80
$24.00
Google: Gemini 2.5 Flash Lite saves $7.20
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$10.40
$15.00
Google: Gemini 2.5 Flash Lite saves $4.60
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$5.40
$8.00
Google: Gemini 2.5 Flash Lite saves $2.60
Capabilities side by side
Capability
Google: Gemini 2.5 Flash Lite
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 2.5 Flash Lite: price unchanged since we started tracking it on 2026-03-10.
NVIDIA: Nemotron 3.5 Super VL: price unchanged since we started tracking it on 2026-10-16.
Which should you choose?
Choose Google: Gemini 2.5 Flash Lite if…
cost matters at scale — it is 26% cheaper on a typical 3:1 input/output mix ($15.50 vs $21.25 a month for 50,000 support chats)
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…
you need log-probabilities — to read token confidence for classification and scoring; Google: Gemini 2.5 Flash Lite 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, 15 months after the other
Frequently asked questions
Is Google: Gemini 2.5 Flash Lite better than NVIDIA: Nemotron 3.5 Super VL?
Neither wins outright: Google: Gemini 2.5 Flash Lite is the pick when cost matters at scale, NVIDIA: Nemotron 3.5 Super VL when you need log-probabilities. In short: Google: Gemini 2.5 Flash Lite when cost matters at scale, you need audio input, you need file / PDF input, you need built-in web search; NVIDIA: Nemotron 3.5 Super VL when 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 2.5 Flash Lite or NVIDIA: Nemotron 3.5 Super VL?
Google: Gemini 2.5 Flash Lite is cheaper: $0.18 vs $0.24 per 1M tokens at a typical 3:1 input/output mix, 26% less. For 50,000 support conversations a month that is $15.50 against $21.25.
How much do Google: Gemini 2.5 Flash Lite and NVIDIA: Nemotron 3.5 Super VL cost per million tokens?
Google: Gemini 2.5 Flash Lite costs $0.10 per 1M input tokens and $0.40 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 2.5 Flash Lite or NVIDIA: Nemotron 3.5 Super VL?
Both take 1.0M tokens per request — roughly 1,573 pages of text.
Do Google: Gemini 2.5 Flash Lite and NVIDIA: Nemotron 3.5 Super VL support function calling and JSON output?
Can Google: Gemini 2.5 Flash Lite or NVIDIA: Nemotron 3.5 Super VL read images?
Yes, both accept image input.
Is Google: Gemini 2.5 Flash Lite 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 2.5 Flash Lite and NVIDIA: Nemotron 3.5 Super VL?
Google: Gemini 2.5 Flash Lite 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 2.5 Flash Lite and NVIDIA: Nemotron 3.5 Super VL released?
Google: Gemini 2.5 Flash Lite was listed on 2025-07-22; NVIDIA: Nemotron 3.5 Super VL on 2026-10-15.
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...
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...