Anthropic: Claude Haiku 5.5 vs NVIDIA: Nemotron 3.5 Content Safety
Neither wins outright: Anthropic: Claude Haiku 5.5 is the pick when you need to fit long inputs in one request, NVIDIA: Nemotron 3.5 Content Safety when you need seed (reproducible sampling).
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)
Anthropic: Claude Haiku 5.5
NVIDIA: Nemotron 3.5 Content Safety
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$17.50
$19.00
Anthropic: Claude Haiku 5.5 saves $1.50
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$17.00
$26.00
Anthropic: Claude Haiku 5.5 saves $9.00
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)
$18.00
$26.40
Anthropic: Claude Haiku 5.5 saves $8.40
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$11.00
$17.20
Anthropic: Claude Haiku 5.5 saves $6.20
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$5.50
$10.20
Anthropic: Claude Haiku 5.5 saves $4.70
Capabilities side by side
Capability
Anthropic: Claude Haiku 5.5
NVIDIA: Nemotron 3.5 Content Safety
What 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
✓ Yes
spend extra tokens thinking before answering hard problems
Image input
✓ Yes
✓ Yes
read screenshots, charts and scanned pages
Audio input
—
—
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
repeat 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
Anthropic: Claude Haiku 5.5: price unchanged since we started tracking it on 2026-10-08.
NVIDIA: Nemotron 3.5 Content Safety: price unchanged since we started tracking it on 2026-09-04.
Which should you choose?
Choose Anthropic: Claude Haiku 5.5 if…
you need to fit long inputs in one request — 1M tokens is roughly 1,500 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 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
you want the newer model — released 2026-10-07, 4 months after the other
Choose NVIDIA: Nemotron 3.5 Content Safety if…
you need seed (reproducible sampling) — to repeat a generation for tests and evals; Anthropic: Claude Haiku 5.5 does not advertise it
you want to prototype at zero cost — a free variant is listed
Frequently asked questions
Is Anthropic: Claude Haiku 5.5 better than NVIDIA: Nemotron 3.5 Content Safety?
Neither wins outright: Anthropic: Claude Haiku 5.5 is the pick when you need to fit long inputs in one request, NVIDIA: Nemotron 3.5 Content Safety when you need seed (reproducible sampling). In short: Anthropic: Claude Haiku 5.5 when you need to fit long inputs in one request, you need tool / function calling, you need structured output (JSON schema), you need file / PDF input, you need built-in web search, you want the newer model; NVIDIA: Nemotron 3.5 Content Safety when you need seed (reproducible sampling), you want to prototype at zero cost.
Which is cheaper, Anthropic: Claude Haiku 5.5 or NVIDIA: Nemotron 3.5 Content Safety?
They cost the same: $0.20 per 1M tokens at a 3:1 input/output mix.
How much do Anthropic: Claude Haiku 5.5 and NVIDIA: Nemotron 3.5 Content Safety cost per million tokens?
Anthropic: Claude Haiku 5.5 costs $0.10 per 1M input tokens and $0.50 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, Anthropic: Claude Haiku 5.5 or NVIDIA: Nemotron 3.5 Content Safety?
Anthropic: Claude Haiku 5.5: 1M tokens, about 1,500 pages, against 131K (about 197 pages) for NVIDIA: Nemotron 3.5 Content Safety.
Do Anthropic: Claude Haiku 5.5 and NVIDIA: Nemotron 3.5 Content Safety support function calling and JSON output?
Tool calling — Anthropic: Claude Haiku 5.5: yes, NVIDIA: Nemotron 3.5 Content Safety: not advertised. JSON-schema structured output — Anthropic: Claude Haiku 5.5: yes, NVIDIA: Nemotron 3.5 Content Safety: not advertised.
Can Anthropic: Claude Haiku 5.5 or NVIDIA: Nemotron 3.5 Content Safety read images?
Yes, both accept image input.
Is Anthropic: Claude Haiku 5.5 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 Anthropic: Claude Haiku 5.5 and NVIDIA: Nemotron 3.5 Content Safety?
Anthropic: Claude Haiku 5.5 can write up to 128K tokens (about 96,000 words) per response; NVIDIA: Nemotron 3.5 Content Safety up to 118K (about 88,500 words).
When were Anthropic: Claude Haiku 5.5 and NVIDIA: Nemotron 3.5 Content Safety released?
Anthropic: Claude Haiku 5.5 was listed on 2026-10-07; NVIDIA: Nemotron 3.5 Content Safety on 2026-06-04.
Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...
NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...