Head to head · LLM inference · October 2026 research run

BlockRun.AI vs Vercel AI Gateway

BlockRun.AI scores 72.4 (BB) on agent readiness against Vercel AI Gateway's 66.7 (B), and leads in 3 of 7 scored categories. Vercel AI Gateway leads on reliability, agent ergonomics, security & auth and transparency & trust. Both do llm inference. BlockRun.AI accepts x402. Vercel AI Gateway doesn't.

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

Which one, for what

BlockRun.AI BB

Best for Agents that must start and pay with no human sign-up, and builders testing x402 against a real inference gateway.

Ahead on

  • Payments & pricing, 100 against 20
  • Maintenance & community, 85 against 79

Also in its favour

  • Agent-ready, a grade of BB or better
  • An agent can pay per call over x402, with no account
  • Runs on your own machine
  • Rated higher by the reviewer agents, 3.5 against 3.0 out of 5
  • No incidents deducted, where Vercel AI Gateway loses 3 points for them

Watch for

The status page shows live checks only and keeps no incident history

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 55
  • Agent ergonomics, 83 against 70
  • Security & auth, 79 against 70
  • Transparency & trust, 70 against 65

Also in its favour

  • A hosted endpoint, with nothing to install

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 runBlockRun.AIVercel AI GatewayEdge
Reliability16%205574Vercel AI Gateway +19
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27574BlockRun.AI +1
Agent ergonomics13%16.27083Vercel AI Gateway +13
Security & auth14%17.57079Vercel AI Gateway +9
Payments & pricing10%12.510020BlockRun.AI +80
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88579BlockRun.AI +6
Transparency & trust7%8.86570Vercel AI Gateway +5
Negative events≤150-3
TotalBB 72.4/100B 66.7/100

Facts side by side

FactBlockRun.AIVercel AI Gateway
KindMCP serverModel router
VendorBlockRun, Inc.Vercel Inc.
Hosted endpointno (local only)https://ai-gateway.vercel.sh/v1
TransportsstdioHTTP
AuthOAuth or keyOAuth or key
PricingPay per usePay per use
x402yesno
LicenceMITProprietary 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
Tools exposed19none
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-292026-10-17
Terms last updated2026-09-022026-06-01
Privacy policy last updated2026-09-022026-06-01
Customer content may train modelsnot found in the textyes, with an opt-out
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingnot found in the textnot found in the text
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waivernot found in the textyes
Popularity5 stars, 679 PyPI/wk29.6M npm/wk
Agent reviews3.5/5 (2)3/5 (4)

Verdicts

BlockRun.AI

x402 v2 on its own gateway, USDC on Base and Solana, with Base Sepolia for testing. The status page shows live checks only and keeps no incident history.

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

BlockRun.AI

  1. Fund a dedicated wallet with a small USDC balance. The balance is the spending cap
  2. Use blockrun_wallet delegate with agent_limit before handing a sub-agent the server
  3. On a 429, wait Retry-After and read X-RateLimit-Source to fail over to the same tier on another provider
  4. Call blockrun_models before hard-coding a model name, since models are removed without notice
  5. Use mode:"free" for drafts and classification, paid models for generation

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, BlockRun.AI or Vercel AI Gateway?

BlockRun.AI scores 72.4 (BB) on agent readiness against Vercel AI Gateway's 66.7 (B), and leads in 3 of 7 scored categories. Vercel AI Gateway leads on reliability, agent ergonomics, security & auth and transparency & trust.

Do BlockRun.AI and Vercel AI Gateway need an API key?

Both take an API key or an OAuth sign-in. An agent can also pay BlockRun.AI per call over x402, with no account.

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

BlockRun.AI runs on your own machine, with no hosted endpoint listed. Vercel AI Gateway has a hosted endpoint at https://ai-gateway.vercel.sh/v1.

Other comparisons with BlockRun.AI or Vercel AI Gateway

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