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inclusionAI: Ling 3.0 Flash VL vs NVIDIA: Nemotron 3.5 Content Safety

Neither wins outright: inclusionAI: Ling 3.0 Flash VL is the pick when cost matters at scale, NVIDIA: Nemotron 3.5 Content Safety when you generate long outputs in one go.

Key numbers

SpecinclusionAI: Ling 3.0 Flash VLNVIDIA: Nemotron 3.5 Content Safety
ProviderInclusionaiNvidia
Input price (per 1M tokens)$0.06$0.20
Output price (per 1M tokens)$0.18$0.20
Blended price (3:1 input/output)$0.09$0.20
Cheaper than … of all models we track82%69%
Context window131K tokens (~197 pages)131K tokens (~197 pages)
Larger context than … of all models22%22%
Max output per response33K tokens (~24,600 words)118K tokens (~88,500 words)
Input typestext, image, videotext, image
Output typestexttext
Free variantYesYes
Listed since2026-09-102026-06-04
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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)inclusionAI: Ling 3.0 Flash VLNVIDIA: Nemotron 3.5 Content SafetyDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$8.10$19.00inclusionAI: Ling 3.0 Flash VL saves $10.90
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$9.00$26.00inclusionAI: Ling 3.0 Flash VL saves $17.00
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)
$9.36$26.40inclusionAI: Ling 3.0 Flash VL saves $17.04
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$5.88$17.20inclusionAI: Ling 3.0 Flash VL saves $11.32
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$3.18$10.20inclusionAI: Ling 3.0 Flash VL saves $7.02

Capabilities side by side

CapabilityinclusionAI: Ling 3.0 Flash VLNVIDIA: 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——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
2026-10-14inclusionAI: Ling 3.0 Flash VL$0.06$0.18
2026-09-26inclusionAI: Ling 3.0 Flash VL$0.02$0.06

Which should you choose?

Choose inclusionAI: Ling 3.0 Flash VL if…

  • cost matters at scale — it is 55% cheaper on a typical 3:1 input/output mix ($8.10 vs $19.00 a month for 50,000 support chats)
  • 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 want the newer model — released 2026-09-10, 3 months after the other

Choose NVIDIA: Nemotron 3.5 Content Safety if…

  • you generate long outputs in one go — up to 118K tokens (about 88,500 words) per response

Frequently asked questions

Is inclusionAI: Ling 3.0 Flash VL better than NVIDIA: Nemotron 3.5 Content Safety?

Neither wins outright: inclusionAI: Ling 3.0 Flash VL is the pick when cost matters at scale, NVIDIA: Nemotron 3.5 Content Safety when you generate long outputs in one go. In short: inclusionAI: Ling 3.0 Flash VL when cost matters at scale, you need tool / function calling, you need structured output (JSON schema), you want the newer model; NVIDIA: Nemotron 3.5 Content Safety when you generate long outputs in one go.

Which is cheaper, inclusionAI: Ling 3.0 Flash VL or NVIDIA: Nemotron 3.5 Content Safety?

inclusionAI: Ling 3.0 Flash VL is cheaper: $0.09 vs $0.20 per 1M tokens at a typical 3:1 input/output mix, 55% less. For 50,000 support conversations a month that is $8.10 against $19.00.

How much do inclusionAI: Ling 3.0 Flash VL and NVIDIA: Nemotron 3.5 Content Safety cost per million tokens?

inclusionAI: Ling 3.0 Flash VL costs $0.06 per 1M input tokens and $0.18 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, inclusionAI: Ling 3.0 Flash VL or NVIDIA: Nemotron 3.5 Content Safety?

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

Do inclusionAI: Ling 3.0 Flash VL and NVIDIA: Nemotron 3.5 Content Safety support function calling and JSON output?

Tool calling — inclusionAI: Ling 3.0 Flash VL: yes, NVIDIA: Nemotron 3.5 Content Safety: not advertised. JSON-schema structured output — inclusionAI: Ling 3.0 Flash VL: yes, NVIDIA: Nemotron 3.5 Content Safety: not advertised.

Can inclusionAI: Ling 3.0 Flash VL or NVIDIA: Nemotron 3.5 Content Safety read images?

Yes, both accept image input.

Is inclusionAI: Ling 3.0 Flash VL or NVIDIA: Nemotron 3.5 Content Safety free to use?

inclusionAI: Ling 3.0 Flash VL has a free variant (inclusionai/ling-3.0-flash-vl:free); 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 inclusionAI: Ling 3.0 Flash VL and NVIDIA: Nemotron 3.5 Content Safety?

inclusionAI: Ling 3.0 Flash VL can write up to 33K tokens (about 24,600 words) per response; NVIDIA: Nemotron 3.5 Content Safety up to 118K (about 88,500 words).

When were inclusionAI: Ling 3.0 Flash VL and NVIDIA: Nemotron 3.5 Content Safety released?

inclusionAI: Ling 3.0 Flash VL was listed on 2026-09-10; NVIDIA: Nemotron 3.5 Content Safety on 2026-06-04.

Has the price of inclusionAI: Ling 3.0 Flash VL or NVIDIA: Nemotron 3.5 Content Safety changed?

inclusionAI: Ling 3.0 Flash VL: input price raised 65% ($0.02 → $0.06/1M), output price raised 66% ($0.06 → $0.18/1M) on 2026-10-14 (2 price changes since 2026-09-12). NVIDIA: Nemotron 3.5 Content Safety: price unchanged since we started tracking it on 2026-09-04.

About the two models

Compare inclusionAI: Ling 3.0 Flash VL 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
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