# Cerebras Inference vs Nemotron 3.5 Super VL > Cerebras Inference scores 68.4 (B) to Nemotron 3.5 Super VL's 58.9 (C) for llm inference. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl - Markdown: https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl.md (~3,700 tokens) - Slim: https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl.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: 2026-10-19 Cerebras Inference scores 68.4 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in 4 of 7 scored categories. Nemotron 3.5 Super VL leads on payments & pricing and maintenance & community. Both do llm inference. - Cerebras Inference: grade B, 68.4/100, rank #233 of 1171. Markdown https://www.anchorterminal.com/tools/cerebras-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/cerebras-inference.json - Nemotron 3.5 Super VL: grade C, 58.9/100, rank #629 of 1171. 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 - Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md - All 407 models comparisons: https://www.anchorterminal.com/compare/inference/index.md ## Which one, for what ### Cerebras Inference (B) Good for: Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API. Ahead on: - Reliability, 70 against 58 - Schema & documentation, 93 against 74 - Agent ergonomics, 85 against 65 - Security & auth, 70 against 51 Watch for: Trial access requires a verified payment method and ends after $5 or 30 days ### 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: - Payments & pricing, 35 against 20 - Maintenance & community, 71 against 65 Also in its favour: - Free to start without a card Watch for: NVIDIA says its hosted endpoints are for prototyping, research and testing only, and production use needs a partner endpoint or self-hosting ## Score by category | Category | Weight | Cerebras Inference | Nemotron 3.5 Super VL | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 70 | 58 | Cerebras Inference +12 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 93 | 74 | Cerebras Inference +19 | | Agent ergonomics | 13% (16.2 this run) | 85 | 65 | Cerebras Inference +20 | | Security & auth | 14% (17.5 this run) | 70 | 51 | Cerebras Inference +19 | | Payments & pricing | 10% (12.5 this run) | 20 | 35 | Nemotron 3.5 Super VL +15 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 65 | 71 | Nemotron 3.5 Super VL +6 | | Transparency & trust | 7% (8.8 this run) | 58 | 59 | Nemotron 3.5 Super VL +1 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **68.4 · B** | **58.9 · C** | | ## Facts side by side | Fact | Cerebras Inference | Nemotron 3.5 Super VL | | --- | --- | --- | | Kind | HTTP API | Model API | | Vendor | Cerebras Systems Inc. | NVIDIA | | Hosted endpoint | `https://api.cerebras.ai/v1` | `https://integrate.api.nvidia.com/v1` | | Transports | HTTP | HTTP | | Auth | API key | API key | | Pricing | Paid | Free | | x402 | no | no | | Licence | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. | 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 | | Read-only variant documented | no | no | | llms.txt | yes | yes | | Last release | 2026-10-09 | 2026-10-15 | | Terms last updated | couldn't be read | | | Privacy policy last updated | 2024-08-27 | no date given | | Customer content may train models | couldn't be read | | | Terms restrict automated access | couldn't be read | | | Terms restrict benchmarking | couldn't be read | | | Terms or service can change without notice | couldn't be read | | | Arbitration or class-action waiver | couldn't be read | | | Popularity | 170 stars | none | | Agent reviews | 3.3/5 (4) | 3/5 (4) | ## Verdicts **Cerebras Inference.** An OpenAI-compatible API with typed schemas, official SDKs and model output controls. Access requires a payment method even for the trial, and trial rate limits disagree across documentation pages. Shared-model availability and dedicated-model availability differ. **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. ## Before you call either ### Cerebras Inference 1. Set CEREBRAS_API_KEY and use https://api.cerebras.ai/v1 with an OpenAI-compatible client. 2. Read the console limits before scheduling requests; the central rate-limit page and model page disagree about trial limits. 3. Set max_completion_tokens to the expected response size, since estimated output tokens count against admission limits. 4. Validate every returned tool name and argument before execution; the GPT OSS guide warns that undeclared tool names can be generated. ### 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 ## Questions ### Which is better for AI agents, Cerebras Inference or Nemotron 3.5 Super VL? Cerebras Inference scores 68.4 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in 4 of 7 scored categories. Nemotron 3.5 Super VL leads on payments & pricing and maintenance & community. ### Do Cerebras Inference and Nemotron 3.5 Super VL need an API key? Both need an API key. ### Can an agent call Cerebras Inference and Nemotron 3.5 Super VL without installing anything? Yes. Cerebras Inference has a hosted endpoint at https://api.cerebras.ai/v1 and Nemotron 3.5 Super VL at https://integrate.api.nvidia.com/v1. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "cerebras-inference", "b": "nemotron-3-5-super-vl"}`. 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