Skip to content
CLAUDEXIA
enru
COMPARISONS

Claudexia vs Requesty.ai: Choosing a Claude API Router in 2026

Requesty.ai routes across 150+ models with smart fallback. Claudexia is a focused Claude gateway with EU/RU presence and local payments. When each fits.

If you are picking infrastructure for a Claude-powered product in 2026, two very different shapes of "API gateway" are competing for your base URL. Requesty.ai is a multi-provider router that fans out across 150+ models from Anthropic, OpenAI, Google, Mistral, Meta, DeepSeek, xAI, and more — with smart fallback, cost-aware routing, and a single billing surface. Claudexia is the opposite design choice: a focused Claude-only gateway, optimised for full Anthropic feature parity, EU/RU presence, and local payment rails.

Both are legitimate answers. The right one depends on whether you are building a multi-vendor portfolio of LLM calls or a Claude-native product. This post lays out where each fits, with code, pricing intuition, and the tradeoffs that actually matter at scale.

What Requesty.ai actually is

Requesty positions itself as the "smart router for LLMs". Under the hood, it is an OpenAI-compatible proxy that:

  • exposes a single endpoint and API key,
  • routes each request to one of many providers based on rules you configure (cheapest, fastest, highest-quality, region-pinned),
  • falls back automatically if the primary provider returns errors, rate-limits, or times out,
  • aggregates usage and spend across vendors into one dashboard and one invoice,
  • supports OpenAI's Chat Completions schema as the lingua franca, with per-provider quirks normalised away.

The selling point is redundancy and cost arbitrage. If Anthropic has a regional outage, your traffic transparently spills to a comparable Sonnet-class model on another vendor. If GPT-class output is cheaper this week for your workload mix, the router can prefer it.

This is a real win for teams running heterogeneous workloads — classification, retrieval, code, chat, vision — where no single vendor is best at everything.

What Claudexia is

Claudexia is the focused alternative. We are a Claude-only gateway:

  • Anthropic-compatible and OpenAI-compatible endpoints.
  • Per-token pricing that matches Anthropic's direct rates (see the pricing breakdown for Claude API pricing in 2026).
  • Full feature parity with the upstream Messages API: prompt caching, tool use, computer use, extended thinking, vision, streaming, batches.
  • EU/RU presence with local payment rails — card, crypto, and SBP — so teams in regions where Anthropic's billing is awkward can still consume Claude at production scale.
  • No provider abstraction tax: when Anthropic ships a feature, it appears on Claudexia in the same shape, with the same fields, on the same day.

The trade is explicit: Claudexia does not route to GPT-5 or Gemini for you. It is a Claude pipe, tuned to be invisible.

Pricing models compared

Requesty's pricing has two components: the underlying provider cost (passed through, sometimes with a small markup) plus the routing service. For some plans it is a flat platform fee on top of usage; for others a percentage. The exact numbers move, so check their current pricing page, but the structural point is that you are paying for a routing layer in addition to tokens.

Claudexia is a single line item: tokens, at Anthropic-matched rates. There is no platform fee, no seat fee, and no monthly minimum. You top up a balance and consume against it.

For a Claude-heavy workload, the math is simple: you pay only for what the model actually produces, with no router overhead. For a workload that genuinely benefits from multi-vendor fallback, the router fee can pay for itself in avoided downtime — but only if you actually need that fallback path.

When routing matters

Routing is genuinely valuable in three scenarios:

  1. Vendor redundancy for SLA reasons. If a 30-minute Anthropic incident would breach your customer SLA, automatic spillover to another vendor is worth real money.
  2. Cost-aware A/B routing across vendors. If you have built quality evals that confirm Sonnet, GPT-class, and Gemini-class models are interchangeable for a given step, routing to the cheapest provider per request lowers your bill.
  3. Geographic pinning. Some routers can pin requests to specific regions for data residency, which matters in regulated industries.

If none of these apply — and for many Claude-native products none of them do — the routing layer is an abstraction you pay for and never use.

Where Claude focus wins

For teams that have committed to Claude as the model family, a focused gateway has concrete advantages:

  • No abstraction tax. Multi-provider routers normalise to a lowest-common-denominator schema (usually OpenAI Chat Completions). Anthropic-specific fields — cache_control blocks, thinking parameters, computer-use tool definitions, citation blocks — either get stripped, mangled, or arrive late behind the router's release cycle.
  • Prompt caching works correctly. Caching is the single biggest cost lever on Claude in 2026. It depends on byte-exact prefix matches on the input, which means it depends on the gateway not rewriting your messages. A Claude-focused proxy preserves the request shape; routers often do not.
  • Computer use and extended thinking are first-class. These are Anthropic-specific capabilities. A router that has to support 150+ models cannot prioritise them.
  • Faster feature pickup. When Anthropic ships a new model or a new parameter, a focused gateway exposes it immediately. A router has to decide whether and how to expose it across its abstraction.

Payment options

This is where the regional story becomes concrete.

Requesty is US-centric. It accepts standard US/EU corporate cards via Stripe and is well-suited to teams with a US billing entity. Crypto support is limited or absent depending on plan tier. SBP is not supported.

Claudexia accepts:

  • Cards — Visa, Mastercard, Mir, and major EU issuers.
  • Crypto — USDT (TRC-20, ERC-20), BTC, ETH, and others via CryptoCloud and CryptoBot. Useful for teams without a corporate card or with cross-border friction.
  • СБП (Russian Faster Payments) — instant top-up from any Russian bank, settled to your Claudexia balance in seconds.
  • YooKassa for legal-entity invoices in RUB.

For teams in Russia, the CIS, the Middle East, and parts of Asia where US-issued cards are unreliable for AI infrastructure, this is often the deciding factor.

Code: swapping the base URL

Both gateways are OpenAI-compatible, so the migration is a one-line change. Here is the same call against Claudexia:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.claudexia.tech/v1",
    api_key="sk-cx-...",
)

resp = client.chat.completions.create(
    model="claude-sonnet-4.6",
    messages=[
        {"role": "system", "content": "You are a careful code reviewer."},
        {"role": "user", "content": "Review this diff: ..."},
    ],
    max_tokens=1024,
)

print(resp.choices[0].message.content)

If you want the Anthropic-native shape with prompt caching, computer use, or extended thinking, point the Anthropic SDK at the same host:

from anthropic import Anthropic

client = Anthropic(
    base_url="https://api.claudexia.tech",
    api_key="sk-cx-...",
)

resp = client.messages.create(
    model="claude-sonnet-4.6",
    max_tokens=1024,
    system=[
        {
            "type": "text",
            "text": "Long system prompt with tool docs ...",
            "cache_control": {"type": "ephemeral"},
        }
    ],
    messages=[{"role": "user", "content": "Summarise the changes."}],
)

The cache_control block flows straight through to Anthropic — no router rewriting, no field stripping.

When Requesty wins

Be honest about which side you are on. Requesty is the better choice when:

  • You are running A/B routing across Claude, GPT-class, and Gemini-class models with quality evals to back the routing decisions.
  • Vendor outage spillover is a hard SLA requirement and the cost of an hour of downtime exceeds the router fee.
  • Your workload mix is genuinely heterogeneous — embeddings on one vendor, vision on another, chat on a third — and you want one invoice.
  • You are happy to live behind an OpenAI Chat Completions abstraction and do not need Anthropic-specific features.

When Claudexia wins

Claudexia is the better choice when:

  • Claude is your model family and you want the upstream features intact, not normalised away.
  • You need prompt caching, computer use, extended thinking, or Anthropic's batch API to behave exactly as documented.
  • You are in a region where US-card billing is unreliable and you need card, crypto, or SBP top-ups.
  • You want a single, transparent line item — tokens at upstream rates — with no router fee and no platform minimum.

Bottom line

Requesty.ai is a good answer if you are building a multi-vendor LLM portfolio and the routing layer earns its keep. Claudexia is the right answer if you are building a Claude-native product and want a transparent, feature-complete pipe with regional payment rails. Both swap in with a one-line base URL change. Pick the one whose opinionated default matches your roadmap, not the one with the bigger model catalogue.

← Back to all posts