Neither wins outright: NVIDIA: Nemotron 3.5 Content Safety is the pick when cost matters at scale, Qwen: Qwen3 VL 8B Thinking when you need tool / function calling.
| Spec | NVIDIA: Nemotron 3.5 Content Safety | Qwen: Qwen3 VL 8B Thinking |
|---|---|---|
| Provider | Nvidia | Qwen |
| Input price (per 1M tokens) | $0.20 | $0.18 |
| Output price (per 1M tokens) | $0.20 | $2.10 |
| Blended price (3:1 input/output) | $0.20 | $0.66 |
| Cheaper than … of all models we track | 69% | 48% |
| Context window | 131K tokens (~197 pages) | 131K tokens (~197 pages) |
| Larger context than … of all models | 22% | 22% |
| Max output per response | 118K tokens (~88,500 words) | 33K tokens (~24,600 words) |
| Input types | text, image | image, text |
| Output types | text | text |
| Free variant | Yes | No |
| Listed since | 2026-06-04 | 2025-10-14 |
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 Safety | Qwen: Qwen3 VL 8B Thinking | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $19.00 | $55.50 | NVIDIA: Nemotron 3.5 Content Safety saves $36.50 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $26.00 | $42.60 | NVIDIA: Nemotron 3.5 Content Safety saves $16.60 |
| 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 | $46.80 | NVIDIA: Nemotron 3.5 Content Safety saves $20.40 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $17.20 | $27.00 | NVIDIA: Nemotron 3.5 Content Safety saves $9.80 |
| 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 | $11.10 | NVIDIA: Nemotron 3.5 Content Safety saves $0.90 |
| Capability | NVIDIA: Nemotron 3.5 Content Safety | Qwen: Qwen3 VL 8B Thinking | 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 | — | — | 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 | ✓ 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.
| Date | Model | Input / 1M | Output / 1M |
|---|---|---|---|
| 2026-08-06 | Qwen: Qwen3 VL 8B Thinking | $0.18 | $2.10 |
Neither wins outright: NVIDIA: Nemotron 3.5 Content Safety is the pick when cost matters at scale, Qwen: Qwen3 VL 8B 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 8B Thinking when you need tool / function calling, you need structured output (JSON schema), you need log-probabilities.
NVIDIA: Nemotron 3.5 Content Safety is cheaper: $0.20 vs $0.66 per 1M tokens at a typical 3:1 input/output mix, 70% less. For 50,000 support conversations a month that is $19.00 against $55.50.
NVIDIA: Nemotron 3.5 Content Safety costs $0.20 per 1M input tokens and $0.20 per 1M output tokens; Qwen: Qwen3 VL 8B Thinking costs $0.18 input and $2.10 output. Output tokens are billed separately, so long answers shift the gap.
Both take 131K tokens per request — roughly 197 pages of text.
Tool calling — NVIDIA: Nemotron 3.5 Content Safety: not advertised, Qwen: Qwen3 VL 8B Thinking: yes. JSON-schema structured output — NVIDIA: Nemotron 3.5 Content Safety: not advertised, Qwen: Qwen3 VL 8B Thinking: yes.
Yes, both accept image input.
NVIDIA: Nemotron 3.5 Content Safety has a free variant (nvidia/nemotron-3.5-content-safety:free). Free variants usually carry tighter rate limits.
NVIDIA: Nemotron 3.5 Content Safety can write up to 118K tokens (about 88,500 words) per response; Qwen: Qwen3 VL 8B Thinking up to 33K (about 24,600 words).
NVIDIA: Nemotron 3.5 Content Safety was listed on 2026-06-04; Qwen: Qwen3 VL 8B Thinking on 2025-10-14.
NVIDIA: Nemotron 3.5 Content Safety: price unchanged since we started tracking it on 2026-09-04. Qwen: Qwen3 VL 8B Thinking: input price raised 35% ($0.12 → $0.18/1M), output price raised 35% ($1.36 → $2.10/1M) on 2026-08-06.
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...
Full NVIDIA: Nemotron 3.5 Content Safety specs →Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and...
Full Qwen: Qwen3 VL 8B Thinking specs →