DeepSeek: DeepSeek V4.1 Flash (batch) vs NVIDIA: Nemotron 3.5 Super VL (free)

NVIDIA: Nemotron 3.5 Super VL (free) comes out ahead on the data we track: 2 advantages and none for DeepSeek: DeepSeek V4.1 Flash (batch).

Key numbers

SpecDeepSeek: DeepSeek V4.1 Flash (batch)NVIDIA: Nemotron 3.5 Super VL (free)
ProviderDeepSeekNvidia
Input price (per 1M tokens)$0.11$0
Output price (per 1M tokens)$0.34$0
Blended price (3:1 input/output)$0.17$0
Cheaper than … of all models we track73%90%
Context window1.0M tokens (~1,573 pages)1M tokens (~1,500 pages)
Larger context than … of all models81%69%
Max output per response131K tokens (~98,300 words)131K tokens (~98,300 words)
Input typestext, imagetext, image, video
Output typestexttext
Free variantNoYes
Listed since2026-09-102026-10-15

What it costs for real workloads

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 (batch)NVIDIA: Nemotron 3.5 Super VL (free)Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$15.12$0NVIDIA: Nemotron 3.5 Super VL (free) saves $15.12
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$16.80$0NVIDIA: Nemotron 3.5 Super VL (free) saves $16.80
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)
$17.47$0NVIDIA: Nemotron 3.5 Super VL (free) saves $17.47
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$10.98$0NVIDIA: Nemotron 3.5 Super VL (free) saves $10.98
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$5.94$0NVIDIA: Nemotron 3.5 Super VL (free) saves $5.94

Capabilities side by side

CapabilityDeepSeek: DeepSeek V4.1 Flash (batch)NVIDIA: Nemotron 3.5 Super VL (free)What it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend extra tokens thinking before answering hard problems
Image input✓ Yes✓ Yesread 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✓ Yesrepeat a generation for tests and evals
Log-probabilities——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

Which should you choose?

Choose DeepSeek: DeepSeek V4.1 Flash (batch) if…

No advantage on the data we track — pick it for provider preference or output quality on your own prompts.

Choose NVIDIA: Nemotron 3.5 Super VL (free) if…

  • cost matters at scale — it is 100% cheaper on a typical 3:1 input/output mix ($0 vs $15.12 a month for 50,000 support chats)
  • you want to prototype at zero cost — a free variant is listed

Frequently asked questions

Is DeepSeek: DeepSeek V4.1 Flash (batch) better than NVIDIA: Nemotron 3.5 Super VL (free)?

NVIDIA: Nemotron 3.5 Super VL (free) comes out ahead on the data we track: 2 advantages and none for DeepSeek: DeepSeek V4.1 Flash (batch).

Which is cheaper, DeepSeek: DeepSeek V4.1 Flash (batch) or NVIDIA: Nemotron 3.5 Super VL (free)?

NVIDIA: Nemotron 3.5 Super VL (free) is cheaper: $0 vs $0.17 per 1M tokens at a typical 3:1 input/output mix, 100% less. For 50,000 support conversations a month that is $0 against $15.12.

How much do DeepSeek: DeepSeek V4.1 Flash (batch) and NVIDIA: Nemotron 3.5 Super VL (free) cost per million tokens?

DeepSeek: DeepSeek V4.1 Flash (batch) costs $0.11 per 1M input tokens and $0.34 per 1M output tokens; NVIDIA: Nemotron 3.5 Super VL (free) costs $0 input and $0 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, DeepSeek: DeepSeek V4.1 Flash (batch) or NVIDIA: Nemotron 3.5 Super VL (free)?

DeepSeek: DeepSeek V4.1 Flash (batch): 1.0M tokens, about 1,573 pages, against 1M (about 1,500 pages) for NVIDIA: Nemotron 3.5 Super VL (free).

Do DeepSeek: DeepSeek V4.1 Flash (batch) and NVIDIA: Nemotron 3.5 Super VL (free) support function calling and JSON output?

Tool calling — DeepSeek: DeepSeek V4.1 Flash (batch): yes, NVIDIA: Nemotron 3.5 Super VL (free): yes. JSON-schema structured output — DeepSeek: DeepSeek V4.1 Flash (batch): yes, NVIDIA: Nemotron 3.5 Super VL (free): yes.

Can DeepSeek: DeepSeek V4.1 Flash (batch) or NVIDIA: Nemotron 3.5 Super VL (free) read images?

Yes, both accept image input.

Is DeepSeek: DeepSeek V4.1 Flash (batch) or NVIDIA: Nemotron 3.5 Super VL (free) free to use?

NVIDIA: Nemotron 3.5 Super VL (free) 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 (batch) and NVIDIA: Nemotron 3.5 Super VL (free)?

DeepSeek: DeepSeek V4.1 Flash (batch) can write up to 131K tokens (about 98,300 words) per response; NVIDIA: Nemotron 3.5 Super VL (free) up to 131K (about 98,300 words).

When were DeepSeek: DeepSeek V4.1 Flash (batch) and NVIDIA: Nemotron 3.5 Super VL (free) released?

DeepSeek: DeepSeek V4.1 Flash (batch) was listed on 2026-09-10; NVIDIA: Nemotron 3.5 Super VL (free) on 2026-10-15.

About the two models

Compare DeepSeek: DeepSeek V4.1 Flash (batch) with other models

Compare NVIDIA: Nemotron 3.5 Super VL (free) with other models

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