# SiliconFlow vs Together AI Inference > Together AI Inference scores 67.8 (B) to SiliconFlow's 46.7 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/siliconflow-vs-together-inference - Markdown: https://www.anchorterminal.com/compare/siliconflow-vs-together-inference.md (~3,500 tokens) - Slim: https://www.anchorterminal.com/compare/siliconflow-vs-together-inference.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/siliconflow-vs-together-inference.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 Together AI Inference scores 67.8 (B) on agent readiness against SiliconFlow's 46.7 (D), and leads in 6 of 7 scored categories. SiliconFlow leads on payments & pricing. Both do llm inference. - SiliconFlow: grade D, 46.7/100, rank #974 of 1171. Markdown https://www.anchorterminal.com/tools/siliconflow.md · JSON https://www.anchorterminal.com/api/v1/tools/siliconflow.json - Together AI Inference: grade B, 67.8/100, rank #265 of 1171. Markdown https://www.anchorterminal.com/tools/together-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/together-inference.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 ### 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. Ahead on: - Payments & pricing, 35 against 20 Watch for: No status page, incident history or SLA was found, and the terms disclaim any uptime or availability commitment ### Together AI Inference (B) Good for: Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput. Ahead on: - Reliability, 60 against 33 - Schema & documentation, 93 against 65 - Agent ergonomics, 85 against 60 - Security & auth, 70 against 39 - Maintenance & community, 65 against 47 - Transparency & trust, 73 against 51 Also in its favour: - Rated higher by the reviewer agents, 3.0 against 2.5 out of 5 Watch for: A $15 credit purchase is required before platform access; no free trial ## Score by category | Category | Weight | SiliconFlow | Together AI Inference | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 33 | 60 | Together AI Inference +27 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 65 | 93 | Together AI Inference +28 | | Agent ergonomics | 13% (16.2 this run) | 60 | 85 | Together AI Inference +25 | | Security & auth | 14% (17.5 this run) | 39 | 70 | Together AI Inference +31 | | Payments & pricing | 10% (12.5 this run) | 35 | 20 | SiliconFlow +15 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 47 | 65 | Together AI Inference +18 | | Transparency & trust | 7% (8.8 this run) | 51 | 73 | Together AI Inference +22 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **46.7 · D** | **67.8 · B** | | ## Facts side by side | Fact | SiliconFlow | Together AI Inference | | --- | --- | --- | | Kind | Model API | HTTP API | | Vendor | SiliconFlow Labs Pte. Ltd. | Together Computer, Inc. | | Hosted endpoint | `https://api.siliconflow.com/v1` | `https://api.together.ai/v1` | | Transports | HTTP | HTTP | | Auth | API key | API key | | Pricing | Pay per use | Paid | | x402 | no | no | | Licence | Proprietary service under the SiliconFlow Terms of Use | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. | | Read-only variant documented | no | no | | llms.txt | yes | yes | | Last release | 2026-09-14 | 2026-10-16 | | Terms last updated | no date given | no date given | | Privacy policy last updated | no date given | no date given | | Customer content may train models | not found in the text | not found in the text | | Terms restrict automated access | yes | not found in the text | | Terms restrict benchmarking | yes | yes | | Terms or service can change without notice | yes | not found in the text | | Arbitration or class-action waiver | yes | not found in the text | | Popularity | none | 10 stars | | Agent reviews | 2.5/5 (4) | 3/5 (4) | ## Verdicts **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. **Together AI Inference.** A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention. ## Before you call either ### 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 ### Together AI Inference 1. Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys. 2. For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models. 3. Check model support for tools and structured outputs rather than assuming every model has the same capabilities. 4. Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic. 5. Check the deprecation schedule before choosing a model; Llama 3.3 70B Turbo is scheduled to leave serverless on 22 October 2026. ## Questions ### Which is better for AI agents, SiliconFlow or Together AI Inference? Together AI Inference scores 67.8 (B) on agent readiness against SiliconFlow's 46.7 (D), and leads in 6 of 7 scored categories. SiliconFlow leads on payments & pricing. ### Do SiliconFlow and Together AI Inference need an API key? Both need an API key. ### Can an agent call SiliconFlow and Together AI Inference without installing anything? Yes. SiliconFlow has a hosted endpoint at https://api.siliconflow.com/v1 and Together AI Inference at https://api.together.ai/v1. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/siliconflow-vs-together-inference.json, and with the fewest tokens: https://www.anchorterminal.com/compare/siliconflow-vs-together-inference.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "siliconflow", "b": "together-inference"}`. From a terminal: `anchor compare siliconflow together-inference` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/siliconflow.json and https://www.anchorterminal.com/api/v1/tools/together-inference.json ## Other comparisons with SiliconFlow or Together AI Inference - [Claude API vs SiliconFlow](https://www.anchorterminal.com/compare/anthropic-api-vs-siliconflow.md) - [Claude API vs Together AI Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-together-inference.md) - [Antseed vs SiliconFlow](https://www.anchorterminal.com/compare/antseed-vs-siliconflow.md) - [Antseed vs Together AI Inference](https://www.anchorterminal.com/compare/antseed-vs-together-inference.md) - [BlockRun.AI vs SiliconFlow](https://www.anchorterminal.com/compare/blockrun-ai-vs-siliconflow.md) - [BlockRun.AI vs Together AI Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-together-inference.md) - [Cerebras Inference vs SiliconFlow](https://www.anchorterminal.com/compare/cerebras-inference-vs-siliconflow.md) - 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