Respan vs Vercel AI Gateway (2026)
Updated March 10, 2026
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Overview
Rating
10.0 / 10
Rating
10.0 / 10
Best For
AI engineering teams building production LLM applications who need unified access, observability, and cost control
Best For
Developers who want managed multi-provider model access and spend controls, especially teams already on Vercel or the AI SDK
Product Summary
Respan is the AI router with built-in observability and automated evals: one API for 1,000+ models, with tracing, spend control, and evals on every request.
Product Summary
Vercel AI Gateway routes hundreds of models through one API key with zero token markup. Compare its pricing, features, pros and cons, and alternatives.
Starting Price
$0
Starting Price
$5
Free Trial
Yes
Free Trial
Yes
Free Version
Yes
Free Version
No
Website
Website
Key features
Core capabilities each platform advertises.
- One API for 1,000+ models
- Automatic fallbacks and retries
- Load balancing across providers and models
- Exact-match caching with configurable TTL
- Hard spend limits per key, per customer, or org-wide
- Task-aware model routing with Respan Router (beta)
- Tracing, evals, and prompt management on every routed request
- One API key for hundreds of models
- Provider and model fallbacks
- Request logs and spend dashboards
- Budgets by team, project, API key, or member
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Gateway, tracing, and evals in one platform, so every metric ties back to the request behind it
- 1,000+ models through one OpenAI-compatible API
- No processing fee on Respan credits, and provider discounts are passed straight through
- Hard spend caps that block requests, not just alert
- Unlimited seats on the free plan
- SOC 2, HIPAA with a BAA, GDPR, and ISO 27001
Cons
- Additional latency (30-40ms) from routing through a gateway layer
- Newer platform with smaller community compared to established tools
- Some advanced provider-specific features may not be fully supported
Pros
- No markup on tokens, including with BYOK
- Callable from any infrastructure, not only Vercel deployments
- Ordered provider and model fallbacks
Cons
- No output evaluation or quality scoring
- Free tier limited to a subset of models with lower rate limits
- Budgets don't cover BYOK spend, and failed BYOK requests fall back to billed system credentials
- Team-wide ZDR, custom reporting, and trace drains are paid add-ons
Respan or Vercel AI — which should you choose?
Choose Respan if you wantChoose if you want
- Keeping agents online through provider outages and rate limits
- Controlling LLM spend per customer or API key
- Switching models without code changes
- Scoring output quality on live production traffic
- Replacing a separate gateway, logging tool, and eval tool with one platform
Choose Vercel AI if you wantChoose if you want
- Multi-provider model access for AI SDK apps
- Provider failover for production agents
- Capping AI spend by project or API key
- Routing coding agent spend through one account