OpenAI compatible API · Attested · Public status

Best LLM Router 2026: AI Gateways & Model Routers Compared

Compare the best LLM routers and AI gateways of 2026. OpenRouter, LiteLLM, Portkey, Requesty, and the one gateway whose privacy you can verify live.

Verify gateway
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.
Best LLM router · AI gateway comparison · 2026

The best LLM router is the one whose privacy claims you can verify with a curl command.

Every router in this comparison does the basics well: one API, many models, failover when a provider drops. OpenRouter popularized the aggregator approach and has a very large catalog. LiteLLM is an open-source proxy you can self-host. Portkey builds deep observability. Requesty optimizes spend. They differ most on one dimension: what happens to your prompt inside the gateway.

TrustedRouter is an OpenAI-compatible AI gateway with 600+ models across more than 80 providers, including Claude, GPT, Gemini, DeepSeek, Kimi, GLM, and Qwen. The prompt path runs inside a hardware-attested confidential-compute enclave: the source is open, the image digest is published, and the attestation is checkable live against the running gateway. TrustedRouter never logs prompt or output content. Ordinary synchronous and streaming inference does not retain it. The opt-in Batch API temporarily retains enclave-encrypted artifacts for up to 30 days.

Open the playground Verify the gateway

Switch in one linePython
from openai import OpenAI

client = OpenAI(
    base_url="https://api.trustedrouter.com/v1",
    api_key=TR_KEY,
)

reply = client.chat.completions.create(
    model="trustedrouter/auto",
    messages=[{"role": "user", "content": "Pick the best route for this."}],
)
Routing

Meta-routes do the picking

Send trustedrouter/auto and the gateway picks the best fit per request. trustedrouter/cheap finds the cheapest capable route and still runs it in a TEE. trustedrouter/synth fuses a panel of open models and beats single frontier models on published evals.

Reliability

Failover, with numbers

Automatic provider fallback keeps requests flowing when a provider goes down. Measured latency comes from real routed requests and is published at the latency benchmarks page, so you can check the numbers before you commit.

Payments

Credits, BYOK, or a wallet

Prepaid credits through Stripe, bring-your-own provider keys, or x402 pay-per-request with Continue with MetaMask sign-in that works without a traditional account. Per-model pricing is transparent, with a thin markup over provider list prices.

Their strengthTrustedRouter
OpenRouterVery large public catalog, big community, quick start.600+ model ids and an attested prompt path; switching is a base_url change (see the OpenRouter comparison).
LiteLLMOpen-source proxy you self-host and fully control.Works well as LiteLLM's final upstream: keep direct providers first, then reach 600+ additional models through TrustedRouter.
PortkeyDeep observability, logging, and guardrails tooling.No prompt or output logs; real-time inference is content-stateless; Batch retention is explicit.
RequestyCost-aware routing and spend controls.trustedrouter/cheap picks the cheapest capable route and executes it inside a TEE.
All of themOne API across many model providers.The same, plus a privacy tier on every route: Open, Zero-Data-Retention, or TEE.
The verification test

Attestation beats a privacy policy.

Any gateway can publish a policy document. TrustedRouter answers a curl with a JWT signed by the CPU vendor's root key, bound to the live TLS session, with an image digest you can match against the published open-source artifact. Your compliance team can run that check before the first prompt flows, and your CI can run it every day after.

One proof point, anonymized: a document-processing company scaled from zero to over a billion tokens per week through the attested gateway within three weeks of onboarding. Compare smart, cheap, and fast routes at the model chooser, read the OpenRouter deep-dive, or see how end-to-end confidential compute works.

Live catalog evidence

Current routes, prices, privacy, and measured performance.

Catalog facts come from the routes currently configured in TrustedRouter. Performance uses the same cached metadata snapshot as the public leaderboard. Prompts and outputs are not part of these measurements.

558public models
92providers
1730configured routes
279ZDR routes
46provider E2EE routes
4173recent availability samples
Model Providers Context Input Output Privacy Measured route
Anthropic: Claude Opus 4.8anthropic/claude-opus-4.8
3 routes
1,000,000 $5.275/1M $26.375/1M varies 5 cited scores Warming up
OpenAI: GPT-5.5openai/gpt-5.5
4 routes
1,050,000 $5.275/1M $31.65/1M ZDR 3 cited scores 1453 ms TTFT openai · 100.00% available · n=5
Google: Gemini 3.5 Flashgoogle/gemini-3.5-flash
+1
7 routes
1,048,576 $1.5825/1M $9.495/1M ZDR 1472 ms TTFT google-ai-studio · 100.00% available · n=9
MoonshotAI: Kimi K2.7 Codemoonshotai/kimi-k2.7-code
+10
19 routes
262,144 $0.70685/1M to $1.13096/1M $3.587/1M to $4.90575/1M ZDR 5 cited scores 1457 ms TTFT kimi · 26 tok/s · 100.00% available · n=34
Z.ai: GLM 5.2z-ai/glm-5.2
+27
48 routes
1,048,576 $0.7174/1M to $2.317369/1M $1.5825/1M to $7.080849/1M E2EE 4 cited scores 3369 ms TTFT tinfoil · 100.00% available · n=103
MiniMax: MiniMax M3minimax/minimax-m3
+10
22 routes
524,288 $0.24265/1M to $2.11/1M $1.0128/1M to $10.55/1M ZDR 4 cited scores 1356 ms TTFT together · 135 tok/s · 98.35% available · n=160
AnthropicPolicy varies 11 models 1994 ms p50 · n=40
GMI CloudPolicy varies 72 models 3080 ms p50 · n=37
OpenAIZDR on prepaid 45 models 1988 ms p50 · n=53
Atlas CloudPolicy varies 77 models measurements warming up
Google AI StudioPolicy varies 14 models 1661 ms p50 · n=29
Google Vertex AIZDR on prepaid 11 models 1321 ms p50 · n=27
Lightning AIPolicy varies 35 models 2554 ms p50 · n=32
KimiPolicy varies 4 models 9270 ms p50 · n=140

Browse every modelReview provider policiesOpen the full leaderboardSnapshot 2026-09-07T09:16:50.445Z

Questions

What is the best LLM router in 2026?

It depends on what you optimize for. OpenRouter, LiteLLM, Portkey, and Requesty all route one API across many providers, and each has real strengths. TrustedRouter differs on the prompt path: it runs inside a hardware-attested confidential-compute gateway with open source, a published image digest, and a live attestation check. TrustedRouter never logs prompt or output content. Ordinary synchronous and streaming inference does not retain it. The opt-in Batch API temporarily retains enclave-encrypted artifacts for up to 30 days. It serves 220+ model routes across 30+ providers.

What is the difference between an LLM router and an AI gateway?

An LLM router picks which model serves each request. An AI gateway is the layer between your app and providers that handles authentication, fallback, and billing. TrustedRouter is both: meta-routes like trustedrouter/auto, trustedrouter/cheap, and trustedrouter/fast pick the model, while the gateway handles automatic provider fallback, prepaid credits, BYOK, and a privacy tier on every route: Open, Zero-Data-Retention, or TEE.

Do I have to rewrite my code to switch LLM routers?

No. TrustedRouter is OpenAI-compatible: change base_url to https://api.trustedrouter.com/v1 and keep your SDK, your model ids, and your code. If you are moving from OpenRouter, the migration is that base_url swap, and the playground at /chat lets you test routes before you move production traffic.

Can an AI gateway be private enough for regulated data?

TrustedRouter's TEE tier runs prompts end-to-end inside confidential compute, so even the serving provider cannot read them, and the attestation is checkable live and bound to the TLS session. TrustedRouter never logs prompt or output content. Ordinary synchronous and streaming inference does not retain it. The opt-in Batch API temporarily retains enclave-encrypted artifacts for up to 30 days. For compliance review there is a verifiable architecture plus SOC 2 and HIPAA readiness documentation, a DPA, and a BAA; these are readiness documents rather than certifications, so your team can assess them directly.

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