NVIDIA: Nemotron 3.5 Content Safety vs Qwen: Qwen3 VL 235B A22B Thinking

Neither wins outright: NVIDIA: Nemotron 3.5 Content Safety is the pick when cost matters at scale, Qwen: Qwen3 VL 235B A22B Thinking when you need tool / function calling.

Key numbers

SpecNVIDIA: Nemotron 3.5 Content SafetyQwen: Qwen3 VL 235B A22B Thinking
ProviderNvidiaQwen
Input price (per 1M tokens)$0.20$0.40
Output price (per 1M tokens)$0.20$4.00
Blended price (3:1 input/output)$0.20$1.30
Cheaper than … of all models we track69%34%
Context window131K tokens (~197 pages)131K tokens (~197 pages)
Larger context than … of all models22%22%
Max output per response118K tokens (~88,500 words)33K tokens (~24,600 words)
Input typestext, imagetext, image
Output typestexttext
Free variantYesNo
Listed since2026-06-042025-09-23
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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)NVIDIA: Nemotron 3.5 Content SafetyQwen: Qwen3 VL 235B A22B ThinkingDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$19.00$110NVIDIA: Nemotron 3.5 Content Safety saves $91.00
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$26.00$88.00NVIDIA: Nemotron 3.5 Content Safety saves $62.00
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)
$26.40$96.00NVIDIA: Nemotron 3.5 Content Safety saves $69.60
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$17.20$56.00NVIDIA: Nemotron 3.5 Content Safety saves $38.80
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$10.20$24.00NVIDIA: Nemotron 3.5 Content Safety saves $13.80

Capabilities side by side

CapabilityNVIDIA: Nemotron 3.5 Content SafetyQwen: Qwen3 VL 235B A22B ThinkingWhat it lets you do
Tool / function calling—✓ Yescall your APIs and run agent loops
Structured output (JSON schema)—✓ 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—✓ Yesread 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
2026-08-07Qwen: Qwen3 VL 235B A22B Thinking$0.40$4.00
2026-08-06Qwen: Qwen3 VL 235B A22B Thinking$0.98$3.95
2026-03-31Qwen: Qwen3 VL 235B A22B Thinking$0.26$2.60

Which should you choose?

Choose NVIDIA: Nemotron 3.5 Content Safety if…

  • cost matters at scale — it is 85% cheaper on a typical 3:1 input/output mix ($19.00 vs $110 a month for 50,000 support chats)
  • you generate long outputs in one go — up to 118K tokens (about 88,500 words) per response
  • you want to prototype at zero cost — a free variant is listed
  • you want the newer model — released 2026-06-04, 8 months after the other

Choose Qwen: Qwen3 VL 235B A22B Thinking if…

  • 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

Frequently asked questions

Is NVIDIA: Nemotron 3.5 Content Safety better than Qwen: Qwen3 VL 235B A22B Thinking?

Neither wins outright: NVIDIA: Nemotron 3.5 Content Safety is the pick when cost matters at scale, Qwen: Qwen3 VL 235B A22B Thinking when you need tool / function calling. In short: NVIDIA: Nemotron 3.5 Content Safety when cost matters at scale, you generate long outputs in one go, you want to prototype at zero cost, you want the newer model; Qwen: Qwen3 VL 235B A22B Thinking when you need tool / function calling, you need structured output (JSON schema), you need log-probabilities.

Which is cheaper, NVIDIA: Nemotron 3.5 Content Safety or Qwen: Qwen3 VL 235B A22B Thinking?

NVIDIA: Nemotron 3.5 Content Safety is cheaper: $0.20 vs $1.30 per 1M tokens at a typical 3:1 input/output mix, 85% less. For 50,000 support conversations a month that is $19.00 against $110.

How much do NVIDIA: Nemotron 3.5 Content Safety and Qwen: Qwen3 VL 235B A22B Thinking cost per million tokens?

NVIDIA: Nemotron 3.5 Content Safety costs $0.20 per 1M input tokens and $0.20 per 1M output tokens; Qwen: Qwen3 VL 235B A22B Thinking costs $0.40 input and $4.00 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, NVIDIA: Nemotron 3.5 Content Safety or Qwen: Qwen3 VL 235B A22B Thinking?

Both take 131K tokens per request — roughly 197 pages of text.

Do NVIDIA: Nemotron 3.5 Content Safety and Qwen: Qwen3 VL 235B A22B Thinking support function calling and JSON output?

Tool calling — NVIDIA: Nemotron 3.5 Content Safety: not advertised, Qwen: Qwen3 VL 235B A22B Thinking: yes. JSON-schema structured output — NVIDIA: Nemotron 3.5 Content Safety: not advertised, Qwen: Qwen3 VL 235B A22B Thinking: yes.

Can NVIDIA: Nemotron 3.5 Content Safety or Qwen: Qwen3 VL 235B A22B Thinking read images?

Yes, both accept image input.

Is NVIDIA: Nemotron 3.5 Content Safety or Qwen: Qwen3 VL 235B A22B Thinking 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 NVIDIA: Nemotron 3.5 Content Safety and Qwen: Qwen3 VL 235B A22B Thinking?

NVIDIA: Nemotron 3.5 Content Safety can write up to 118K tokens (about 88,500 words) per response; Qwen: Qwen3 VL 235B A22B Thinking up to 33K (about 24,600 words).

When were NVIDIA: Nemotron 3.5 Content Safety and Qwen: Qwen3 VL 235B A22B Thinking released?

NVIDIA: Nemotron 3.5 Content Safety was listed on 2026-06-04; Qwen: Qwen3 VL 235B A22B Thinking on 2025-09-23.

Has the price of NVIDIA: Nemotron 3.5 Content Safety or Qwen: Qwen3 VL 235B A22B Thinking changed?

NVIDIA: Nemotron 3.5 Content Safety: price unchanged since we started tracking it on 2026-09-04. Qwen: Qwen3 VL 235B A22B Thinking: input price cut 59% ($0.98 → $0.40/1M), output price raised 1% ($3.95 → $4.00/1M) on 2026-08-07 (3 price changes since 2026-03-10).

About the two models

Compare NVIDIA: Nemotron 3.5 Content Safety with other models

Compare Qwen: Qwen3 VL 235B A22B Thinking with other models

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