OpenAI Alternative

All of OpenAI, plus 600+ models

One API key for GPT-5.6, Claude, Gemini, Mistral, Llama, and every major model. Automatic failover when providers go down. Cost optimization that saves 30-60%.

before ~ openai direct
client = OpenAI(
  api_key="sk-...",
)

// Only OpenAI models
// No failover when OpenAI is down
// No cost optimization
// No EU data residency
// No cross-provider routing
after ~ requesty gateway
client = OpenAI(
  base_url="https://router.requesty.ai/v1",
  api_key="rq-...",
)

// 600+ models from all providers
// Auto-failover across providers
// 40-60% cost savings with caching
// EU hosting available (Frankfurt)
// Latency-based routing
600+
AI models
99.99%
Uptime SLA
60%
Cost savings with caching
$10
Free credits to start

Trusted by teams at

ShopifyAmadeusChargebeeContentfulDemandbasePfizerPwCCapgeminiSageSiemensRelevance AIAppnovation

01Why switch

Why teams add a gateway in front of OpenAI

Keep using GPT-5.6. Add failover, cost savings, and access to every other model through the same API.

Automatic failover

When OpenAI rate-limits or goes down, requests automatically route to Claude, Gemini, or other providers. Zero downtime for your users.

Cost optimization

Route each request to the cheapest model that meets your quality bar. Prompt caching saves 40-60% on repeated patterns. One invoice for all providers.

Multi-provider access

GPT-5.6, Claude, Gemini, Mistral, Llama, DeepSeek, and 600+ models through one API key. No separate accounts or billing.

Enterprise governance

RBAC, budget controls per team, audit logs, content guardrails, and compliance certifications. Everything OpenAI lacks for teams.

Latency-based routing

Automatically routes to the fastest available provider. When one provider is slow, your requests go elsewhere in real time.

EU data residency

Route through Frankfurt for GDPR compliance. OpenAI processes everything in the US with no EU hosting option.

02Compare

OpenAI direct vs. Requesty gateway

Same models, same API format. Requesty adds multi-provider access, reliability, and governance.

Requesty compared with using the OpenAI API directly, by capability
FeatureRequestyOpenAI Direct
Model access
GPT-5.6, GPT-5.4, o4-miniYesYes
Claude Opus, Sonnet, HaikuYesNo
Gemini 3.6 Flash, 3.1 ProYesNo
Mistral, Llama, DeepSeekYesNo
Total models availableYes600+Yes~20
Reliability
Uptime SLAYes99.99%Yes99.9% (Tier 5 only)
Automatic provider failoverYesCross-providerNo
Rate limit auto-retryYesNo
Multi-region deploymentYesUS, EU, APACPartialUS primary
Latency-based routingYesNo
Cost management
Prompt cachingYesAutomatic, 40-60% savingsPartialManual, limited
Cost-optimized routingYesAuto cheapest for qualityNo
Per-team budget controlsYesPartialProject-level only
Consolidated multi-provider billingYesNoOpenAI only
Free starting creditsYes$10No
Governance and compliance
EU data residencyYesFrankfurtNo
GDPR DPA availableYesPartialUS-centric
Content guardrails (PII masking)YesPartialBasic moderation
Multi-layer RBACYes5-layer hierarchyPartialProject-level
Full request audit trailYesPartialLimited retention

03Questions

Frequently asked questions

Common questions about switching from OpenAI direct to Requesty

Is Requesty a replacement for the OpenAI API?

Requesty is a drop-in replacement that uses the same OpenAI-compatible API format. You change the base URL and API key, then your existing code works with 600+ models from OpenAI, Anthropic, Google, Mistral, and more. You keep full access to GPT-5.6 and all OpenAI models while gaining failover, cost optimization, and multi-provider flexibility.

What happens when OpenAI has an outage?

Requesty automatically detects failures and routes requests to equivalent models from other providers (like Claude or Gemini). Your application stays online with zero code changes. The failover happens in milliseconds at the gateway level.

How much can I save compared to using OpenAI directly?

Teams typically save 30-60% through three mechanisms: automatic prompt caching (reuses responses for repeated patterns), cost-optimized routing (picks the cheapest model meeting your quality threshold), and competitive provider pricing (some providers offer the same models cheaper than OpenAI direct).

Do I need to change my code to use Requesty?

No. Requesty uses the OpenAI SDK format. You change two lines: the base_url and the api_key. All your existing chat completions, embeddings, and function calling code works unchanged.

How does Requesty compare to other OpenAI alternatives like LiteLLM and OpenRouter?

LiteLLM is a self-hosted proxy you need to deploy, scale, and maintain yourself. OpenRouter is a US-only aggregator with no governance or analytics. Requesty is a fully managed AI gateway with enterprise features: 99.99% uptime SLA, latency-based routing, EU hosting, RBAC policies, and real-time cost analytics. No infrastructure to manage.

Can I use Requesty for EU and GDPR compliance?

Yes. Requesty offers an EU gateway endpoint (router.eu.requesty.ai) hosted in Frankfurt, Germany. All requests stay within the EU. A GDPR Article 28 DPA is available. Zero data retention means request and response bodies are never stored.

Switch in 60 seconds

Change the base URL. Same OpenAI SDK, same code, same format. Everything just works.

migrate.py
# Before (OpenAI direct)
client = OpenAI(api_key="sk-...")

# After (Requesty gateway)
client = OpenAI(
  base_url="https://router.requesty.ai/v1",
  api_key="rq-...",
)

# Access GPT-5.6 + Claude + Gemini + 600+ models
# Automatic failover, caching, EU hosting