DeepSeek: DeepSeek V4.1 Flash vs NVIDIA: Nemotron 3.5 Super VL
Neither wins outright: DeepSeek: DeepSeek V4.1 Flash is the pick when cost matters at scale, NVIDIA: Nemotron 3.5 Super VL when you want to prototype at zero cost.
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)
DeepSeek: DeepSeek V4.1 Flash
NVIDIA: Nemotron 3.5 Super VL
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$14.76
$21.25
DeepSeek: DeepSeek V4.1 Flash saves $6.49
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$8.57
$23.00
DeepSeek: DeepSeek V4.1 Flash saves $14.43
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)
$9.94
$24.00
DeepSeek: DeepSeek V4.1 Flash saves $14.06
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$5.26
$15.00
DeepSeek: DeepSeek V4.1 Flash saves $9.74
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$1.40
$8.00
DeepSeek: DeepSeek V4.1 Flash saves $6.60
Capabilities side by side
Capability
DeepSeek: DeepSeek V4.1 Flash
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
—
—
take speech or audio directly
File / PDF input
—
—
accept documents without your own parsing step
Image output
—
—
generate images, not just text
Built-in web search
—
—
answer from live web results
Seed (reproducible sampling)
✓ Yes
✓ Yes
repeat a generation for tests and evals
Log-probabilities
✓ Yes
✓ Yes
read token confidence for classification and scoring
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
NVIDIA: Nemotron 3.5 Super VL: price unchanged since we started tracking it on 2026-10-16.
Date
Model
Input / 1M
Output / 1M
2026-10-16
DeepSeek: DeepSeek V4.1 Flash
$0.01
$0.68
2026-10-15
DeepSeek: DeepSeek V4.1 Flash
$0.02
$0.89
2026-10-14
DeepSeek: DeepSeek V4.1 Flash
$0.04
$0.60
2026-10-06
DeepSeek: DeepSeek V4.1 Flash
$0.30
$1.20
2026-10-04
DeepSeek: DeepSeek V4.1 Flash
$0.0030
$2.40
2026-10-03
DeepSeek: DeepSeek V4.1 Flash
$0.30
$1.20
2026-10-02
DeepSeek: DeepSeek V4.1 Flash
$0.02
$0.75
2026-10-01
DeepSeek: DeepSeek V4.1 Flash
$0.02
$0.40
Which should you choose?
Choose DeepSeek: DeepSeek V4.1 Flash if…
cost matters at scale — it is 23% cheaper on a typical 3:1 input/output mix ($14.76 vs $21.25 a month for 50,000 support chats)
you generate long outputs in one go — up to 944K tokens (about 707,800 words) per response
Choose NVIDIA: Nemotron 3.5 Super VL if…
you want to prototype at zero cost — a free variant is listed
Frequently asked questions
Is DeepSeek: DeepSeek V4.1 Flash better than NVIDIA: Nemotron 3.5 Super VL?
Neither wins outright: DeepSeek: DeepSeek V4.1 Flash is the pick when cost matters at scale, NVIDIA: Nemotron 3.5 Super VL when you want to prototype at zero cost. In short: DeepSeek: DeepSeek V4.1 Flash when cost matters at scale, you generate long outputs in one go; NVIDIA: Nemotron 3.5 Super VL when you want to prototype at zero cost.
Which is cheaper, DeepSeek: DeepSeek V4.1 Flash or NVIDIA: Nemotron 3.5 Super VL?
DeepSeek: DeepSeek V4.1 Flash is cheaper: $0.18 vs $0.24 per 1M tokens at a typical 3:1 input/output mix, 23% less. For 50,000 support conversations a month that is $14.76 against $21.25.
How much do DeepSeek: DeepSeek V4.1 Flash and NVIDIA: Nemotron 3.5 Super VL cost per million tokens?
DeepSeek: DeepSeek V4.1 Flash costs $0.01 per 1M input tokens and $0.68 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, DeepSeek: DeepSeek V4.1 Flash or NVIDIA: Nemotron 3.5 Super VL?
Both take 1.0M tokens per request — roughly 1,573 pages of text.
Do DeepSeek: DeepSeek V4.1 Flash and NVIDIA: Nemotron 3.5 Super VL support function calling and JSON output?
Can DeepSeek: DeepSeek V4.1 Flash or NVIDIA: Nemotron 3.5 Super VL read images?
Yes, both accept image input.
Is DeepSeek: DeepSeek V4.1 Flash 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 DeepSeek: DeepSeek V4.1 Flash and NVIDIA: Nemotron 3.5 Super VL?
DeepSeek: DeepSeek V4.1 Flash can write up to 944K tokens (about 707,800 words) per response; NVIDIA: Nemotron 3.5 Super VL up to 236K (about 176,900 words).
When were DeepSeek: DeepSeek V4.1 Flash and NVIDIA: Nemotron 3.5 Super VL released?
DeepSeek: DeepSeek V4.1 Flash was listed on 2026-09-10; NVIDIA: Nemotron 3.5 Super VL on 2026-10-15.
Has the price of DeepSeek: DeepSeek V4.1 Flash or NVIDIA: Nemotron 3.5 Super VL changed?
DeepSeek: DeepSeek V4.1 Flash: input price cut 9% ($0.02 → $0.01/1M), output price cut 23% ($0.89 → $0.68/1M) on 2026-10-16 (19 price changes since 2026-09-11). NVIDIA: Nemotron 3.5 Super VL: price unchanged since we started tracking it on 2026-10-16.
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
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...