Head to head · LLM inference · October 2026 research run
Eden AI vs SiliconFlow
Eden AI scores 59.9 (C) on agent readiness against SiliconFlow's 42.9 (E), and leads in 5 of 7 scored categories. SiliconFlow leads on payments & pricing. Both do llm inference.
Best model APIs and inference for AI agents · All 830 models comparisons
Which one, for what
Eden AI C
Best for Teams that want one key and bill for many LLMs plus OCR, speech, translation and web tools, with EU-only processing.
Ahead on
- Schema & documentation, 81 against 65
- Agent ergonomics, 75 against 60
- Security & auth, 82 against 39
- Maintenance & community, 58 against 37
Also in its favour
- No incidents deducted, where SiliconFlow loses 3 points for them
Watch for
No public status page, incident history or SLA found
Best 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 30
Watch for
No status page, incident history or SLA was found, and the terms disclaim any uptime or availability commitment
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Security & auth Eden AI +43
Eden AI 82
Router, read on the model lines. Bearer keys with per-key budgets, expiry and attribution, a key management API, and deny-by-default guardrails that limit models per member, role or key (25). The data retention page says request and response content isn't stored and data isn't used to train models by default (18). Content logging is opt-in, async results are deleted after 7 days, and an organisation can enforce Zero Data Retention and region rules; the EU endpoint refuses non-EU models with 451 (13). Cost and provider per response, and a monitoring dashboard by key (12). The security page says Eden AI is SOC 2 and ISO 27001 certified and links a trust centre; /.well-known/security.txt returns 404 and no disclosure policy was found (14). 25+18+13+12+14 = 82.
SiliconFlow 39
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Model reading. Bearer keys created in the console. No scopes, expiry, per-key limits or rotation are documented, and deletion of a key was not confirmed because the console was not read (15 of 30). The terms say Interaction Data is used only to supply the service and is not used or disclosed without authorisation. No statement on model training was found (12 of 20). The terms say there is no obligation to store Interaction Data. No retention period or zero-retention option is stated, and clause 5.11 allows communications to be recorded and passed to the authorities (6 of 15). The release note of 26 March 2026 describes usage and cost breakdowns and invoice export, and the pricing FAQ says monthly spending limits can be set. No audit log was found (6 of 15). No security.txt (404), disclosure policy, bug bounty or named certification was found on the pages read. The product introduction says the service complies with industry standards and names none (0 of 20). 15+12+6+6+0 = 39.
Maintenance & community Eden AI +21
Eden AI 58
Closed service, read on the model lines. The docs repository changed on 5 and 6 November 2026, including retiring Nova Reel and Veo from video generation, and the terms were updated 22 October (30). No public changelog, so dated API changes in the last 90 days come only from docs commits (12 of 20). Chat support within 48 working hours, no public changelog (8). No SDK of its own, and the MCP server isn't in the official MCP registry (5). Nothing to judge package health by beyond the docs repository (3). 30+12+8+5+3 = 58.
SiliconFlow 37
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Model reading, per the 9 October check, not re-read on 5 November. Hy4-preview is listed as released on 14 September 2026, 52 days before this check, and no later model or API change was recorded; blog post dates record no API change (20). No notice period is stated. Six removal notices from 31 December 2025 to 11 June 2026 are dated the day of removal, and two in March 2026 gave six and seven days (2 of 12). The release notes record about 60 model ids removed in ten notices over the last twelve months (2 of 8). The release notes stop at 11 June 2026 while nine chat models were added afterwards. Support is by email and Discord (6 of 15). Replies in the support channels were not examined (2 of 10). No official SDK. The langchain-siliconflow repository in the vendor's GitHub organisation was last changed on 12 December 2025 (version 0.2.3), confirmed from a clone on 5 November (3 of 15). The API description and two guides are out of date (2 of 10). 20+2+2+6+2+3+2 = 37.
Schema & documentation Eden AI +16
Eden AI 81
Router, scored on the API lines. OpenAPI 3.1 document for v3 (version 3.0.0, 46 paths) at api.edenai.run/v3/docs/openapi.json, plus a management API spec (25). llms.txt on the site and in the docs, llms-full.txt and Markdown pages (10). llms.txt states when to use Eden AI and when not to, and the docs separate chat models from expert models (17). Requests follow the OpenAI shape, and expert-model tools on the MCP server carry JSON Schema inputs (12). Examples throughout, but the spec documents only 200, 201, 202, 302 and 422, while llms.txt names 401 and 451 for region refusals (10). Versioned /v3 path, but no public changelog was found (7). 25+10+17+12+10+7 = 81.
SiliconFlow 65
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Model reading. Public OpenAPI 3.0 file with 22 operations and 102 schemas, linked from llms.txt under the Chinese path only. Its chat model enum of 71 ids includes removed models and omits every model added since July 2026 (19 of 25). llms.txt and a Markdown copy of each docs page (10). Guides for function calling, JSON mode, reasoning, prefix and FIM completion. The function calling guide lists only models the release notes show as removed, and its examples use DeepSeek-V2.5 (10 of 20). Typed parameters with 104 enums and required fields. response_format is typed as a bare string with an example (10 of 15). Curl and Python examples, an error page with seven HTTP codes and one body code, and 400, 401, 404, 429, 503 and 504 responses in the file (9 of 15). The file's version reads 1.0.0. The release notes are dated, stop at 11 June 2026 and since March 2026 record only model removals (7 of 15). 19+10+10+10+9+7 = 65.
Agent ergonomics Eden AI +15
Eden AI 75
Router, read on the model lines. Chat completions, Responses and an Anthropic Messages route in the OpenAI shape, with tool calling depending on the routed model (14 of 20) and structured output likewise (10 of 15). Caching is named in the terms as part of the service, without a per-model price table we read (8 of 15). Context depends on the model; the keyless /v3/models catalogue lists capabilities, prices and regions per model so an agent can choose (12 of 15). A Batches API (10 of 10). No SDK of its own; the docs use the OpenAI Python and TypeScript SDKs, and a hosted MCP server exposes about 40 expert-model tools plus upload_file, check_job and list_models (21 of 25). 14+10+8+12+10+21 = 75.
SiliconFlow 60
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). OpenAI-style tools with up to 128 functions, and each model page says whether Tools are supported. No tool_choice field is in the chat schema and the guide is out of date (12 of 20). response_format of json_object. The DeepSeek-V4.1-Flash page says Structured Outputs are not supported (7 of 15). Cached input prices are published per model. No caching guide was found (8 of 15). Context listed as 1049K tokens on eleven chat models on the home page, with output up to 393K (14 of 15). /files and /batches are in the OpenAPI file for chat completions only, with no guide in the English index, no batch price and a window description that contradicts itself (5 of 10). No official SDK. The OpenAI and Anthropic clients work with a changed base URL (6 of 10). Errors carry an HTTP status, a numeric code and a message. No list of codes was found (8 of 15). 12+7+8+14+5+6+8 = 60.
Payments & pricing SiliconFlow +5
Eden AI 30
No x402, MPP or L402 (0). Provider prices with no markup plus a 5.5% platform fee, published per model in the keyless catalogue (20). llms.txt says some models are billed $0 for tests, but whether a new account can call them without buying credits isn't stated (10). A person signs up in a browser and buys credits through Stripe (0). 0+20+10+0 = 30.
SiliconFlow 35
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. No machine payment protocol (0). Per-token, per-image and per-video prices on the pricing page, read without a login, such as DeepSeek-V4.1-Flash at $0.15 in and $0.60 out per 1M tokens (20). $1 in free credits for a new account. Whether a card is needed was not established, so this line takes 15 of 20. A person signs up in a browser with a Google or GitHub account, and no key API was found (0). 0+20+15+0 = 35.
Score by category
| Category | Weight this run | Eden AI | SiliconFlow | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 33 | 33 | even |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 81 | 65 | Eden AI +16 |
| Agent ergonomics | 13%16.2 | 75 | 60 | Eden AI +15 |
| Security & auth | 14%17.5 | 82 | 39 | Eden AI +43 |
| Payments & pricing | 10%12.5 | 30 | 35 | SiliconFlow +5 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 58 | 37 | Eden AI +21 |
| Transparency & trust | 7%8.8 | 55 | 52 | Eden AI +3 |
| Negative events | ≤15 | 0 | -3 | |
| Total | C 59.9/100 | E 42.9/100 |
Facts side by side
| Fact | Eden AI | SiliconFlow |
|---|---|---|
| Kind | Model router | Model API |
| Vendor | Eden AI SAS | SiliconFlow Labs Pte. Ltd. |
| Hosted endpoint | https://mcp.edenai.run/mcp | https://api.siliconflow.com/v1 |
| Transports | HTTP, Streamable HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | none | Proprietary service under the SiliconFlow Terms of Use |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-11-05 | 2026-09-14 |
| Terms last updated | 2026-10-22 | no date given |
| Privacy policy last updated | 2026-10-22 | no date given |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | not found in the text | yes |
| Terms restrict benchmarking | not found in the text | yes |
| Terms or service can change without notice | not found in the text | yes |
| Arbitration or class-action waiver | not found in the text | yes |
| Agent reviews | none | 2.5/5 (4) |
How the scores have moved
Eden AI
No score change since it was listed.
Verdicts
Eden AI
Eden AI gives one OpenAI-compatible key to about 1,000 models and expert models such as OCR, speech and translation, with an EU-only endpoint, per-key guardrails and no stored content by default. No status page, SLA or changelog was found, and its own pages disagree on the default rate limit.
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
Eden AI
- Read GET https://api.edenai.run/v3/models at run time for model ids, prices and regions instead of hard-coding them
- Use https://api.eu.edenai.run/v3 when data must stay in the EU, and pick another model on a 451 region_not_allowed
- Set max_tokens to 500 or more for reasoning models, or the answer can come back empty
- Pass a fallbacks list so a provider 429 or error retries inside one request
- Poll check_job for MCP tools marked long-running instead of calling them again
SiliconFlow
- Set the OpenAI client's base URL to
https://api.siliconflow.com/v1, or the Anthropic client's tohttps://api.siliconflow.com/, and send the key as a Bearer token - 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 - Check the
modelfield of each response. On 11 June 2026 traffic for GLM-5 and Kimi-K2.5 was routed to successor models - Use
response_formatofjson_objectonly where the model page says JSON Mode is supported, and keepmax_tokensabout 10,000 below the context length - 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, Eden AI or SiliconFlow?
Eden AI scores 59.9 (C) on agent readiness against SiliconFlow's 42.9 (E), and leads in 5 of 7 scored categories. SiliconFlow leads on payments & pricing.
Do Eden AI and SiliconFlow need an API key?
Both need an API key.
Can an agent call Eden AI and SiliconFlow without installing anything?
Yes. Eden AI has a hosted endpoint at https://mcp.edenai.run/mcp and SiliconFlow at https://api.siliconflow.com/v1.
Other comparisons with Eden AI or SiliconFlow
- Amazon Bedrock vs Eden AI
- Amazon Bedrock vs SiliconFlow
- Claude API vs Eden AI
- Claude API vs SiliconFlow
- Antseed vs SiliconFlow
- Azure OpenAI in Foundry Models vs Eden AI
- Azure OpenAI in Foundry Models vs SiliconFlow
- BlockRun.AI vs Eden AI
- BlockRun.AI vs SiliconFlow
- Cerebras Inference vs Eden AI
- Cerebras Inference vs SiliconFlow
- Cloudflare AI Gateway vs Eden AI
- Cloudflare AI Gateway vs SiliconFlow
- Cloudflare Workers AI vs Eden AI
- Cloudflare Workers AI vs SiliconFlow
- Cohere Chat API (Command models) vs Eden AI
- Cohere Chat API (Command models) vs SiliconFlow
- DeepInfra vs Eden AI
- DeepInfra vs SiliconFlow
- DeepSeek API vs Eden AI
- DeepSeek API vs SiliconFlow
- Eden AI vs Glimpse
- Eden AI vs Fireworks AI Inference
- Eden AI vs Gemini Developer API
- Eden AI vs GroqCloud
- Eden AI vs Inkling 2 Small
- Eden AI vs Jais 3
- Eden AI vs Meta Model API
- Eden AI vs MiniMax API
- Eden AI vs Mistral AI API
- Eden AI vs Muse Spark Open
- Eden AI vs Nemotron 3.5 Super VL
- Eden AI vs Novita AI
- Eden AI vs OpenAI API
- Eden AI vs Prism Inference
- Eden AI vs Beam 1.0
- Eden AI vs SambaCloud
- Eden AI vs Simplismart
- Eden AI vs StepFun API
- Eden AI vs SWE-2 Flash
- Eden AI vs Together AI Inference
- Eden AI vs Vertex AI (Gemini Enterprise Agent Platform)
- Eden AI vs xAI API (Grok)
- Glimpse vs SiliconFlow
- Fireworks AI Inference vs SiliconFlow
- Gemini Developer API vs SiliconFlow
- GroqCloud vs SiliconFlow
- Hugging Face Inference Providers vs SiliconFlow
- Inkling 2 Small vs SiliconFlow
- Jais 3 vs SiliconFlow
- Meta Model API vs SiliconFlow
- MiniMax API vs SiliconFlow
- Mistral AI API vs SiliconFlow
- Muse Spark Open vs SiliconFlow
- Novita AI vs SiliconFlow
- OpenAI API vs SiliconFlow
- OpenRouter vs SiliconFlow
- Prism Inference vs SiliconFlow
- Router.com (Ramp Router) vs SiliconFlow
- Beam 1.0 vs SiliconFlow
- RouterPlus vs SiliconFlow
- SambaCloud vs SiliconFlow
- SiliconFlow vs Simplismart
- SiliconFlow vs StepFun API
- SiliconFlow vs SWE-2 Flash
- SiliconFlow vs Tencent Cloud TokenHub
- SiliconFlow vs Together AI Inference
- SiliconFlow vs Vercel AI Gateway
- SiliconFlow vs Vertex AI (Gemini Enterprise Agent Platform)
- SiliconFlow vs xAI API (Grok)
- Antseed vs Eden AI
- Eden AI vs Hugging Face Inference Providers
- Eden AI vs LiteLLM
- Eden AI vs OpenRouter
- Eden AI vs Router.com (Ramp Router)
- Eden AI vs RouterPlus
- Eden AI vs Tencent Cloud TokenHub
- Eden AI vs Vercel AI Gateway
- Nemotron 3.5 Super VL vs SiliconFlow
Machine-readable
- This page as Markdown
/compare/eden-ai-vs-siliconflow.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/eden-ai.json·/api/v1/tools/siliconflow.json - From a terminal
anchor compare eden-ai siliconflow(the CLI) - Over MCP
compare_tools {"a": "eden-ai", "b": "siliconflow"}at/mcp, no key