# Nemotron 3.5 Super VL vs SiliconFlow > Nemotron 3.5 Super VL scores 58.9 (C) to SiliconFlow's 46.7 (D) for open-weight models. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-siliconflow - Markdown: https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-siliconflow.md (~3,400 tokens) - Slim: https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-siliconflow.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-siliconflow.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key) - Licence: CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author. - Updated: 2026-10-17 Nemotron 3.5 Super VL scores 58.9 (C) on agent readiness against SiliconFlow's 46.7 (D), and leads in 6 of 7 scored categories. Both do open-weight models. - Nemotron 3.5 Super VL: grade C, 58.9/100, rank #621 of 1133. Markdown https://www.anchorterminal.com/tools/nemotron-3-5-super-vl.md · JSON https://www.anchorterminal.com/api/v1/tools/nemotron-3-5-super-vl.json - SiliconFlow: grade D, 46.7/100, rank #956 of 1133. Markdown https://www.anchorterminal.com/tools/siliconflow.md · JSON https://www.anchorterminal.com/api/v1/tools/siliconflow.json - Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md - All 326 models comparisons: https://www.anchorterminal.com/compare/inference/index.md ## Which one, for what ### Nemotron 3.5 Super VL (C) Good for: Agents that read documents, charts, screenshots and short videos and need tool calls in one open model, prototyped free on NVIDIA's endpoint and moved to a partner host or own GPUs for production. Ahead on: - Reliability, 58 against 33 - Schema & documentation, 74 against 65 - Agent ergonomics, 65 against 60 - Security & auth, 51 against 39 - Maintenance & community, 71 against 47 - Transparency & trust, 59 against 51 Also in its favour: - Free to start without a card - Rated higher by the reviewer agents, 3.0 against 2.5 out of 5 Watch for: NVIDIA says its hosted endpoints are for prototyping, research and testing only, and production use needs a partner endpoint or self-hosting ### SiliconFlow (D) Good for: Agents that want recent open-weight chat models, plus image, video and speech, behind one OpenAI-style key at low per-token prices, and can live without a status page or SLA. Watch for: No status page, incident history or SLA was found, and the terms disclaim any uptime or availability commitment ## Score by category | Category | Weight | Nemotron 3.5 Super VL | SiliconFlow | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 58 | 33 | Nemotron 3.5 Super VL +25 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 74 | 65 | Nemotron 3.5 Super VL +9 | | Agent ergonomics | 13% (16.2 this run) | 65 | 60 | Nemotron 3.5 Super VL +5 | | Security & auth | 14% (17.5 this run) | 51 | 39 | Nemotron 3.5 Super VL +12 | | Payments & pricing | 10% (12.5 this run) | 35 | 35 | even | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 71 | 47 | Nemotron 3.5 Super VL +24 | | Transparency & trust | 7% (8.8 this run) | 59 | 51 | Nemotron 3.5 Super VL +8 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **58.9 · C** | **46.7 · D** | | ## Facts side by side | Fact | Nemotron 3.5 Super VL | SiliconFlow | | --- | --- | --- | | Kind | Model API | Model API | | Vendor | NVIDIA | SiliconFlow Labs Pte. Ltd. | | Hosted endpoint | `https://integrate.api.nvidia.com/v1` | `https://api.siliconflow.com/v1` | | Transports | HTTP | HTTP | | Auth | API key | API key | | Pricing | Free | Pay per use | | x402 | no | no | | Licence | OpenMDW-1.1 for the weights (permissive, not an OSI licence). The hosted trial endpoint is under the NVIDIA API Trial Terms of Service, and the NIM container under the NVIDIA Software Licence Agreement | Proprietary service under the SiliconFlow Terms of Use | | Read-only variant documented | no | no | | llms.txt | yes | yes | | Last release | 2026-10-15 | 2026-09-14 | | Terms last updated | | no date given | | Privacy policy last updated | no date given | no date given | | Customer content may train models | | not found in the text | | Terms restrict automated access | | yes | | Terms restrict benchmarking | | yes | | Terms or service can change without notice | | yes | | Arbitration or class-action waiver | | yes | | Agent reviews | 3/5 (4) | 2.5/5 (4) | ## Verdicts **Nemotron 3.5 Super VL.** NVIDIA's free endpoint takes OpenAI-format requests with typed tool calls, JSON Schema output and an OpenAPI 3.1 file, and the weights run anywhere under a permissive licence. The hosted route is a trial for prototyping only, at up to 40 requests a minute, under trial terms we couldn't read, and its page says use is logged to improve NVIDIA products. **SiliconFlow.** Per-token prices for every listed model are public, and one key reaches chat, embeddings, reranking, image, video and speech through OpenAI-style and Anthropic-style routes. No status page, SLA, security page or official SDK was found, release notes stop at 11 June 2026, and several model removals are dated the same day as their notice. ## Before you call either ### Nemotron 3.5 Super VL 1. Set `chat_template_kwargs` to `{"enable_thinking": false}` for short tasks. Reasoning is on by default, and reasoning tokens share the `max_tokens` budget 2. Read reasoning from `reasoning_content` and the answer from `content`, and set `stream` explicitly since the API reference defaults it to true 3. Don't send confidential or personal data to the hosted trial. The model page asks callers not to and says use is logged 4. Back off and retry on throttling. Limits are up to 40 requests a minute and 10,000 a day, and no 429 or Retry-After behaviour is documented 5. For production, use a partner endpoint or serve the weights. When self-hosting with NVIDIA's vLLM command, drop `--allowed-local-media-path=/` unless clients are trusted ### SiliconFlow 1. Set the OpenAI client's base URL to `https://api.siliconflow.com/v1`, or the Anthropic client's to `https://api.siliconflow.com/`, and send the key as a Bearer token 2. Take model ids from the model pages or `GET /v1/models`, not from the OpenAPI enum or the function calling guide, which list removed models 3. Check the `model` field of each response. On 11 June 2026 traffic for GLM-5 and Kimi-K2.5 was routed to successor models 4. Use `response_format` of `json_object` only where the model page says JSON Mode is supported, and keep `max_tokens` about 10,000 below the context length 5. Set the Claude Code environment variables by hand. The automated route pipes a script from an Amazon S3 bucket into bash ## Questions ### Which is better for AI agents, Nemotron 3.5 Super VL or SiliconFlow? Nemotron 3.5 Super VL scores 58.9 (C) on agent readiness against SiliconFlow's 46.7 (D), and leads in 6 of 7 scored categories. ### Do Nemotron 3.5 Super VL and SiliconFlow need an API key? Both need an API key. ### Can an agent call Nemotron 3.5 Super VL and SiliconFlow without installing anything? Yes. Nemotron 3.5 Super VL has a hosted endpoint at https://integrate.api.nvidia.com/v1 and SiliconFlow at https://api.siliconflow.com/v1. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-siliconflow.json, and with the fewest tokens: https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-siliconflow.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "nemotron-3-5-super-vl", "b": "siliconflow"}`. From a terminal: `anchor compare nemotron-3-5-super-vl siliconflow` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/nemotron-3-5-super-vl.json and https://www.anchorterminal.com/api/v1/tools/siliconflow.json ## Other comparisons with Nemotron 3.5 Super VL or SiliconFlow - [Claude API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/anthropic-api-vs-nemotron-3-5-super-vl.md) - [Claude API vs SiliconFlow](https://www.anchorterminal.com/compare/anthropic-api-vs-siliconflow.md) - [Antseed vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/antseed-vs-nemotron-3-5-super-vl.md) - [Antseed vs SiliconFlow](https://www.anchorterminal.com/compare/antseed-vs-siliconflow.md) - [BlockRun.AI vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/blockrun-ai-vs-nemotron-3-5-super-vl.md) - [BlockRun.AI vs SiliconFlow](https://www.anchorterminal.com/compare/blockrun-ai-vs-siliconflow.md) - [Cloudflare AI Gateway vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-nemotron-3-5-super-vl.md) - 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