Choose AionLabs: Aion-1.0 if…
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
AionLabs: Aion-1.0 vs NVIDIA: Nemotron 3.5 Super VL
NVIDIA: Nemotron 3.5 Super VL comes out ahead on the data we track: 10 advantages and none for AionLabs: Aion-1.0.
Key numbers
| Spec | AionLabs: Aion-1.0 | NVIDIA: Nemotron 3.5 Super VL |
|---|---|---|
| Provider | Aion Labs | Nvidia |
| Input price (per 1M tokens) | $4.00 | $0.15 |
| Output price (per 1M tokens) | $8.00 | $0.50 |
| Blended price (3:1 input/output) | $5.00 | $0.24 |
| Cheaper than … of all models we track | 10% | 67% |
| Context window | 131K tokens (~197 pages) | 1.0M tokens (~1,573 pages) |
| Larger context than … of all models | 23% | 81% |
| Max output per response | 33K tokens (~24,600 words) | 236K tokens (~176,900 words) |
| Input types | text | text, image, video |
| Output types | text | text |
| Free variant | No | Yes |
| Listed since | 2025-02-04 | 2026-10-15 |
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) | AionLabs: Aion-1.0 | NVIDIA: Nemotron 3.5 Super VL | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $460 | $21.25 | NVIDIA: Nemotron 3.5 Super VL saves $439 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $560 | $23.00 | NVIDIA: Nemotron 3.5 Super VL saves $537 |
| 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) | $576 | $24.00 | NVIDIA: Nemotron 3.5 Super VL saves $552 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $368 | $15.00 | NVIDIA: Nemotron 3.5 Super VL saves $353 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $208 | $8.00 | NVIDIA: Nemotron 3.5 Super VL saves $200 |
Capabilities side by side
| Capability | AionLabs: Aion-1.0 | NVIDIA: Nemotron 3.5 Super VL | 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 | read 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 | repeat 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
- AionLabs: Aion-1.0: price unchanged since we started tracking it on 2026-03-10.
- NVIDIA: Nemotron 3.5 Super VL: price unchanged since we started tracking it on 2026-10-16.
Which should you choose?
Choose NVIDIA: Nemotron 3.5 Super VL if…
- cost matters at scale — it is 95% cheaper on a typical 3:1 input/output mix ($21.25 vs $460 a month for 50,000 support chats)
- 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; AionLabs: Aion-1.0 does not advertise it
- you need structured output (JSON schema) — to return JSON that validates against your schema; AionLabs: Aion-1.0 does not advertise it
- you need image input — to read screenshots, charts and scanned pages; AionLabs: Aion-1.0 does not advertise it
- you need seed (reproducible sampling) — to repeat a generation for tests and evals; AionLabs: Aion-1.0 does not advertise it
- you need log-probabilities — to read token confidence for classification and scoring; AionLabs: Aion-1.0 does not advertise it
- you generate long outputs in one go — up to 236K tokens (about 176,900 words) per response
- you want to prototype at zero cost — a free variant is listed
- you want the newer model — released 2026-10-15, 21 months after the other
Frequently asked questions
Is AionLabs: Aion-1.0 better than NVIDIA: Nemotron 3.5 Super VL?
NVIDIA: Nemotron 3.5 Super VL comes out ahead on the data we track: 10 advantages and none for AionLabs: Aion-1.0.
Which is cheaper, AionLabs: Aion-1.0 or NVIDIA: Nemotron 3.5 Super VL?
NVIDIA: Nemotron 3.5 Super VL is cheaper: $0.24 vs $5.00 per 1M tokens at a typical 3:1 input/output mix, 95% less. For 50,000 support conversations a month that is $21.25 against $460.
How much do AionLabs: Aion-1.0 and NVIDIA: Nemotron 3.5 Super VL cost per million tokens?
AionLabs: Aion-1.0 costs $4.00 per 1M input tokens and $8.00 per 1M output tokens; NVIDIA: Nemotron 3.5 Super VL costs $0.15 input and $0.50 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, AionLabs: Aion-1.0 or NVIDIA: Nemotron 3.5 Super VL?
NVIDIA: Nemotron 3.5 Super VL: 1.0M tokens, about 1,573 pages, against 131K (about 197 pages) for AionLabs: Aion-1.0.
Do AionLabs: Aion-1.0 and NVIDIA: Nemotron 3.5 Super VL support function calling and JSON output?
Tool calling — AionLabs: Aion-1.0: not advertised, NVIDIA: Nemotron 3.5 Super VL: yes. JSON-schema structured output — AionLabs: Aion-1.0: not advertised, NVIDIA: Nemotron 3.5 Super VL: yes.
Can AionLabs: Aion-1.0 or NVIDIA: Nemotron 3.5 Super VL read images?
Only NVIDIA: Nemotron 3.5 Super VL accepts image input; AionLabs: Aion-1.0 is text-only for input.
Is AionLabs: Aion-1.0 or NVIDIA: Nemotron 3.5 Super VL free to use?
NVIDIA: Nemotron 3.5 Super VL has a free variant (nvidia/nemotron-3.5-super-vl:free). Free variants usually carry tighter rate limits.
What is the maximum output length of AionLabs: Aion-1.0 and NVIDIA: Nemotron 3.5 Super VL?
AionLabs: Aion-1.0 can write up to 33K tokens (about 24,600 words) per response; NVIDIA: Nemotron 3.5 Super VL up to 236K (about 176,900 words).
When were AionLabs: Aion-1.0 and NVIDIA: Nemotron 3.5 Super VL released?
AionLabs: Aion-1.0 was listed on 2025-02-04; NVIDIA: Nemotron 3.5 Super VL on 2026-10-15.
About the two models
AionLabs: Aion-1.0
Aion-1.0 is a multi-model system designed for high performance across various tasks, including reasoning and coding. It is built on DeepSeek-R1, augmented with additional models and techniques such as Tree of Thoughts (ToT) and Mixture of Experts (MoE). It is Aion Lab's most powerful reasoning model.
Full AionLabs: Aion-1.0 specs →NVIDIA: Nemotron 3.5 Super VL
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...
Full NVIDIA: Nemotron 3.5 Super VL specs →