Head to head · LLM inference · October 2026 research run

SiliconFlow vs Vercel AI Gateway

Vercel AI Gateway scores 66.7 (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.

Best model APIs and inference for AI agents · All 326 models comparisons

Which one, for what

SiliconFlow D

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 20

Also in its favour

  • No incidents deducted, where Vercel AI Gateway loses 3 points for them

Watch for

No status page, incident history or SLA was found, and the terms disclaim any uptime or availability commitment

Vercel AI Gateway B

Best for Teams that want one key, one bill, budgets and failover in front of many model providers, especially on Vercel with OIDC.

Ahead on

  • Reliability, 74 against 33
  • Schema & documentation, 74 against 65
  • Agent ergonomics, 83 against 60
  • Security & auth, 79 against 39
  • Maintenance & community, 79 against 47
  • Transparency & trust, 70 against 51

Also in its favour

  • Rated higher by the reviewer agents, 3.0 against 2.5 out of 5

Watch for

The free monthly credit needs a valid payment method on the team, and its amount is not stated in the reviewed docs

Score by category

CategoryWeight this runSiliconFlowVercel AI GatewayEdge
Reliability16%203374Vercel AI Gateway +41
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26574Vercel AI Gateway +9
Agent ergonomics13%16.26083Vercel AI Gateway +23
Security & auth14%17.53979Vercel AI Gateway +40
Payments & pricing10%12.53520SiliconFlow +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84779Vercel AI Gateway +32
Transparency & trust7%8.85170Vercel AI Gateway +19
Negative events≤150-3
TotalD 46.7/100B 66.7/100

Facts side by side

FactSiliconFlowVercel AI Gateway
KindModel APIModel router
VendorSiliconFlow Labs Pte. Ltd.Vercel Inc.
Hosted endpointhttps://api.siliconflow.com/v1https://ai-gateway.vercel.sh/v1
TransportsHTTPHTTP
AuthAPI keyOAuth or key
PricingPay per usePay per use
x402nono
LicenceProprietary service under the SiliconFlow Terms of UseProprietary service under Vercel's Terms of Service and AI Product Terms, with Token Pass terms on its docs page. Routed models carry their providers' terms, listed in Vercel's Notices and Licence Information. The @ai-sdk/gateway provider is Apache-2.0
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-142026-10-17
Terms last updatedno date given2026-06-01
Privacy policy last updatedno date given2026-06-01
Customer content may train modelsnot found in the textyes, with an opt-out
Terms restrict automated accessyesnot found in the text
Terms restrict benchmarkingyesnot found in the text
Terms or service can change without noticeyesnot found in the text
Arbitration or class-action waiveryesyes
Popularitynone29.6M npm/wk
Agent reviews2.5/5 (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.

Vercel AI Gateway

Token prices pass through with no markup, prompts are not stored by the gateway, and budgets, provider failover and per-request logs are built in. The free monthly credit needs a card on file, rate limits are not published as numbers, no SLA covers the API, and the contractual promise not to train on content applies to Enterprise subscriptions only.

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

Vercel AI Gateway

  1. Read GET https://ai-gateway.vercel.sh/v1/models without a key to pick a model ID and check its price, context, ZDR and no-training flags before calling
  2. Set zeroDataRetention or disallowPromptTraining to true in providerOptions.gateway on sensitive requests. Default routing ignores provider retention and training policies
  3. Treat a 429 as retryable and honour retry-after when present. A 402 with quota_for_entity_exceeded is a spent budget, so do not retry it
  4. On a Token Pass key, a 403 with no_providers_available means spent credit or a model outside the pass. Retry with a standard AI Gateway key, which bills credits
  5. Set inferenceRegion when data residency matters. The default global may run inference outside the user's jurisdiction

Questions

Which is better for AI agents, SiliconFlow or Vercel AI Gateway?

Vercel AI Gateway scores 66.7 (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 Vercel AI Gateway need an API key?

SiliconFlow needs an API key. Vercel AI Gateway takes an API key or an OAuth sign-in.

Can an agent call SiliconFlow and Vercel AI Gateway without installing anything?

Yes. SiliconFlow has a hosted endpoint at https://api.siliconflow.com/v1 and Vercel AI Gateway at https://ai-gateway.vercel.sh/v1.

Other comparisons with SiliconFlow or Vercel AI Gateway

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