ModelsAtlas
Explore

DeepSeek: DeepSeek V4 Flash Vision Exp vs NVIDIA: Nemotron 3.5 Content Safety

Neither wins outright: DeepSeek: DeepSeek V4 Flash Vision Exp is the pick when you need to fit long inputs in one request, NVIDIA: Nemotron 3.5 Content Safety when cost matters at scale.

Key numbers

SpecDeepSeek: DeepSeek V4 Flash Vision ExpNVIDIA: Nemotron 3.5 Content Safety
ProviderDeepSeekNvidia
Input price (per 1M tokens)$0.22$0.20
Output price (per 1M tokens)$0.65$0.20
Blended price (3:1 input/output)$0.32$0.20
Cheaper than … of all models we track62%69%
Context window1.0M tokens (~1,573 pages)131K tokens (~197 pages)
Larger context than … of all models80%22%
Max output per response262K tokens (~196,600 words)118K tokens (~88,500 words)
Input typestext, imagetext, image
Output typestexttext
Free variantNoYes
Listed since2026-08-212026-06-04
Advertisement

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 Flash Vision ExpNVIDIA: Nemotron 3.5 Content SafetyDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$29.11$19.00NVIDIA: Nemotron 3.5 Content Safety saves $10.11
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$32.34$26.00NVIDIA: Nemotron 3.5 Content Safety saves $6.34
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)
$33.63$26.40NVIDIA: Nemotron 3.5 Content Safety saves $7.23
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$21.13$17.20NVIDIA: Nemotron 3.5 Content Safety saves $3.93
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$11.43$10.20NVIDIA: Nemotron 3.5 Content Safety saves $1.23

Capabilities side by side

CapabilityDeepSeek: DeepSeek V4 Flash Vision ExpNVIDIA: Nemotron 3.5 Content SafetyWhat it lets you do
Tool / function calling✓ Yes—call your APIs and run agent loops
Structured output (JSON schema)✓ Yes—return 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✓ 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

DateModelInput / 1MOutput / 1M
2026-09-29DeepSeek: DeepSeek V4 Flash Vision Exp$0.22$0.65
2026-09-28DeepSeek: DeepSeek V4 Flash Vision Exp$0.44$1.32
2026-09-27DeepSeek: DeepSeek V4 Flash Vision Exp$0.22$0.65
2026-09-21DeepSeek: DeepSeek V4 Flash Vision Exp$0.22$0.66
2026-09-18DeepSeek: DeepSeek V4 Flash Vision Exp$0.22$0.65
2026-09-09DeepSeek: DeepSeek V4 Flash Vision Exp$0.22$0.66
2026-09-07DeepSeek: DeepSeek V4 Flash Vision Exp$0.44$1.32
2026-09-05DeepSeek: DeepSeek V4 Flash Vision Exp$0.22$0.66

Which should you choose?

Choose DeepSeek: DeepSeek V4 Flash Vision Exp if…

  • you need to fit long inputs in one request — 1.0M tokens is roughly 1,573 pages, against 197
  • you need tool / function calling — to call your APIs and run agent loops; NVIDIA: Nemotron 3.5 Content Safety does not advertise it
  • you need structured output (JSON schema) — to return JSON that validates against your schema; NVIDIA: Nemotron 3.5 Content Safety does not advertise it
  • you need log-probabilities — to read token confidence for classification and scoring; NVIDIA: Nemotron 3.5 Content Safety does not advertise it
  • you generate long outputs in one go — up to 262K tokens (about 196,600 words) per response

Choose NVIDIA: Nemotron 3.5 Content Safety if…

  • cost matters at scale — it is 38% cheaper on a typical 3:1 input/output mix ($19.00 vs $29.11 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 Flash Vision Exp better than NVIDIA: Nemotron 3.5 Content Safety?

Neither wins outright: DeepSeek: DeepSeek V4 Flash Vision Exp is the pick when you need to fit long inputs in one request, NVIDIA: Nemotron 3.5 Content Safety when cost matters at scale. In short: DeepSeek: DeepSeek V4 Flash Vision Exp when you need to fit long inputs in one request, you need tool / function calling, you need structured output (JSON schema), you need log-probabilities, you generate long outputs in one go; NVIDIA: Nemotron 3.5 Content Safety when cost matters at scale, you want to prototype at zero cost.

Which is cheaper, DeepSeek: DeepSeek V4 Flash Vision Exp or NVIDIA: Nemotron 3.5 Content Safety?

NVIDIA: Nemotron 3.5 Content Safety is cheaper: $0.20 vs $0.32 per 1M tokens at a typical 3:1 input/output mix, 38% less. For 50,000 support conversations a month that is $19.00 against $29.11.

How much do DeepSeek: DeepSeek V4 Flash Vision Exp and NVIDIA: Nemotron 3.5 Content Safety cost per million tokens?

DeepSeek: DeepSeek V4 Flash Vision Exp costs $0.22 per 1M input tokens and $0.65 per 1M output tokens; NVIDIA: Nemotron 3.5 Content Safety costs $0.20 input and $0.20 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, DeepSeek: DeepSeek V4 Flash Vision Exp or NVIDIA: Nemotron 3.5 Content Safety?

DeepSeek: DeepSeek V4 Flash Vision Exp: 1.0M tokens, about 1,573 pages, against 131K (about 197 pages) for NVIDIA: Nemotron 3.5 Content Safety.

Do DeepSeek: DeepSeek V4 Flash Vision Exp and NVIDIA: Nemotron 3.5 Content Safety support function calling and JSON output?

Tool calling — DeepSeek: DeepSeek V4 Flash Vision Exp: yes, NVIDIA: Nemotron 3.5 Content Safety: not advertised. JSON-schema structured output — DeepSeek: DeepSeek V4 Flash Vision Exp: yes, NVIDIA: Nemotron 3.5 Content Safety: not advertised.

Can DeepSeek: DeepSeek V4 Flash Vision Exp or NVIDIA: Nemotron 3.5 Content Safety read images?

Yes, both accept image input.

Is DeepSeek: DeepSeek V4 Flash Vision Exp or NVIDIA: Nemotron 3.5 Content Safety free to use?

NVIDIA: Nemotron 3.5 Content Safety has a free variant (nvidia/nemotron-3.5-content-safety:free). Free variants usually carry tighter rate limits.

What is the maximum output length of DeepSeek: DeepSeek V4 Flash Vision Exp and NVIDIA: Nemotron 3.5 Content Safety?

DeepSeek: DeepSeek V4 Flash Vision Exp can write up to 262K tokens (about 196,600 words) per response; NVIDIA: Nemotron 3.5 Content Safety up to 118K (about 88,500 words).

When were DeepSeek: DeepSeek V4 Flash Vision Exp and NVIDIA: Nemotron 3.5 Content Safety released?

DeepSeek: DeepSeek V4 Flash Vision Exp was listed on 2026-08-21; NVIDIA: Nemotron 3.5 Content Safety on 2026-06-04.

Has the price of DeepSeek: DeepSeek V4 Flash Vision Exp or NVIDIA: Nemotron 3.5 Content Safety changed?

DeepSeek: DeepSeek V4 Flash Vision Exp: input price cut 51% ($0.44 → $0.22/1M), output price cut 51% ($1.32 → $0.65/1M) on 2026-09-29 (12 price changes since 2026-08-22). NVIDIA: Nemotron 3.5 Content Safety: price unchanged since we started tracking it on 2026-09-04.

About the two models

Compare DeepSeek: DeepSeek V4 Flash Vision Exp with other models

vs AI21: Jamba Large 1.7vs AionLabs: Aion 3.5vs AionLabs: Aion 3.5 Minivs AionLabs: Aion-1.0

Compare NVIDIA: Nemotron 3.5 Content Safety with other models

vs AI21: Jamba Large 1.7vs AionLabs: Aion 3.5vs AionLabs: Aion 3.5 Minivs AionLabs: Aion-1.0
Advertisement