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Google: Gemini 2.5 Flash vs NVIDIA: Nemotron 3.5 Content Safety

Neither wins outright: Google: Gemini 2.5 Flash 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

SpecGoogle: Gemini 2.5 FlashNVIDIA: Nemotron 3.5 Content Safety
ProviderGoogleNvidia
Input price (per 1M tokens)$0.30$0.20
Output price (per 1M tokens)$2.50$0.20
Blended price (3:1 input/output)$0.85$0.20
Cheaper than … of all models we track43%69%
Context window1.0M tokens (~1,573 pages)131K tokens (~197 pages)
Larger context than … of all models80%22%
Max output per response66K tokens (~49,200 words)118K tokens (~88,500 words)
Input typesfile, image, text, audio, videotext, image
Output typestexttext
Free variantNoYes
Listed since2025-06-172026-06-04
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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)Google: Gemini 2.5 FlashNVIDIA: Nemotron 3.5 Content SafetyDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$72.50$19.00NVIDIA: Nemotron 3.5 Content Safety saves $53.50
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$61.00$26.00NVIDIA: Nemotron 3.5 Content Safety saves $35.00
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)
$66.00$26.40NVIDIA: Nemotron 3.5 Content Safety saves $39.60
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$39.00$17.20NVIDIA: Nemotron 3.5 Content Safety saves $21.80
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$17.50$10.20NVIDIA: Nemotron 3.5 Content Safety saves $7.30

Capabilities side by side

CapabilityGoogle: Gemini 2.5 FlashNVIDIA: 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✓ Yes—take speech or audio directly
File / PDF input✓ Yes—accept documents without your own parsing step
Image output——generate images, not just text
Built-in web search✓ Yes—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 Google: Gemini 2.5 Flash 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 audio input — to take speech or audio directly; NVIDIA: Nemotron 3.5 Content Safety does not advertise it
  • you need file / PDF input — to accept documents without your own parsing step; NVIDIA: Nemotron 3.5 Content Safety does not advertise it
  • you need built-in web search — to answer from live web results; NVIDIA: Nemotron 3.5 Content Safety does not advertise it

Choose NVIDIA: Nemotron 3.5 Content Safety if…

  • cost matters at scale — it is 76% cheaper on a typical 3:1 input/output mix ($19.00 vs $72.50 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, 12 months after the other

Frequently asked questions

Is Google: Gemini 2.5 Flash better than NVIDIA: Nemotron 3.5 Content Safety?

Neither wins outright: Google: Gemini 2.5 Flash 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: Google: Gemini 2.5 Flash when you need to fit long inputs in one request, you need tool / function calling, you need structured output (JSON schema), you need audio input, you need file / PDF input, you need built-in web search; 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.

Which is cheaper, Google: Gemini 2.5 Flash or NVIDIA: Nemotron 3.5 Content Safety?

NVIDIA: Nemotron 3.5 Content Safety is cheaper: $0.20 vs $0.85 per 1M tokens at a typical 3:1 input/output mix, 76% less. For 50,000 support conversations a month that is $19.00 against $72.50.

How much do Google: Gemini 2.5 Flash and NVIDIA: Nemotron 3.5 Content Safety cost per million tokens?

Google: Gemini 2.5 Flash costs $0.30 per 1M input tokens and $2.50 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, Google: Gemini 2.5 Flash or NVIDIA: Nemotron 3.5 Content Safety?

Google: Gemini 2.5 Flash: 1.0M tokens, about 1,573 pages, against 131K (about 197 pages) for NVIDIA: Nemotron 3.5 Content Safety.

Do Google: Gemini 2.5 Flash and NVIDIA: Nemotron 3.5 Content Safety support function calling and JSON output?

Tool calling — Google: Gemini 2.5 Flash: yes, NVIDIA: Nemotron 3.5 Content Safety: not advertised. JSON-schema structured output — Google: Gemini 2.5 Flash: yes, NVIDIA: Nemotron 3.5 Content Safety: not advertised.

Can Google: Gemini 2.5 Flash or NVIDIA: Nemotron 3.5 Content Safety read images?

Yes, both accept image input.

Is Google: Gemini 2.5 Flash 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 Google: Gemini 2.5 Flash and NVIDIA: Nemotron 3.5 Content Safety?

Google: Gemini 2.5 Flash can write up to 66K tokens (about 49,200 words) per response; NVIDIA: Nemotron 3.5 Content Safety up to 118K (about 88,500 words).

When were Google: Gemini 2.5 Flash and NVIDIA: Nemotron 3.5 Content Safety released?

Google: Gemini 2.5 Flash was listed on 2025-06-17; NVIDIA: Nemotron 3.5 Content Safety on 2026-06-04.

About the two models

Google

Google: Gemini 2.5 Flash

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...

Full Google: Gemini 2.5 Flash specs →

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Compare NVIDIA: Nemotron 3.5 Content Safety with other models

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