OrcaRouter
One OpenAI-compatible endpoint in front of 200+ models, with per-prompt grading that routes each call — and no markup on tokens.
Zero token markup is the reason to look, and it holds up on the vendor's own pricing page: routing is free, the Hacker tier is the full gateway, and revenue comes from team features rather than a slice of your spend. The governance layer is more distinctive than the routing: guardrails and the agent firewall block before you're billed, which is a different posture from gateways that only log policy violations. Test the routing accuracy claims honestly against your own prompt mix — vendor leaderboard numbers rarely match real traffic. Choose OrcaRouter over metered gateways like OpenRouter if margin on tokens is your objection; choose LiteLLM if you want your own infrastructure and are
Verified 4d ago · liveness 76/100 · cite: rightaichoice.com/tools/orcarouter
- AI product teams shipping on multiple models behind one endpoint
- Platform engineers who need failover and upstream 429 absorption
- Security and compliance teams that want guardrails blocking spend, not logging it
- Agent builders governing tool and MCP calls before they run
- Teams running one static model — the routing hop buys you nothing
- Anyone needing native mobile or desktop clients; this is an API-first product
- Shops already standardized on a cloud-native gateway like Azure AI Studio
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Skip OrcaRouter if you run a single fixed model in production — a grading-and-routing hop adds latency you'll never recoup, and you'd be paying for failover, guardrails, and compliance machinery you don't use.
Buying your own provider keys isn't automatically free shipping: the pricing page states BYOK traffic may carry a platform fee, while the $0.00 fee is tied to top-ups and subscriptions on Hacker and Team.
The free Hacker tier is unusual: the full gateway with 200+ models, routing, failover and zero token markup at $0/mo, which undercuts per-token gateways that take a margin on every call. Team and Enterprise are quoted as custom rather than published per-seat, which puts OrcaRouter's paid tiers in the same budgeting shape as enterprise gateways while its free tier is more generous than most. If you want a published per-seat number before signing, OrcaRouter asks for a conversation; if you want
In short
OrcaRouter — One OpenAI-compatible endpoint in front of 200+ models, with per-prompt grading that routes each call — and no markup on tokens. Best for AI product teams shipping on multiple models behind one endpoint, Platform engineers who need failover and upstream 429 absorption, Security and compliance teams that want guardrails blocking spend, not logging it. Free to use.
What's new in OrcaRouter
Checked 4 days agoAcross the latest 3 updates: 3 news mentions.
Claude Fable 5.5 Beat GPT-6.1 Astra Before It Exists — and That Is the Interesting Part
An engineering post separating checkable claims from speculation after neither model appeared on any vendor surface and Astra was cancelled.
Claude Opus 5.5 and Gemini 3.8 Flash TTS Produced a Narrated News Video
Walks through generating a narrated news video from one prompt across two models, covering what the brief delegates, what the voice costs, and the second API key still required.
Ideogram 4.5 vs Nano Banana 2 Lite: Six Times the Price, Nineteen Elo
A price-versus-quality comparison of two image models, framing the trade-off as six times the cost for a nineteen-point Elo gap.
What people actually say about OrcaRouter — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
30 mentions across 4 sources (Hacker News, YouTube, Product Hunt, Lemmy) · researched Aug 27, 2026.
Average across the 4 sources that answered — each source counts once, not each post.
- +Zero token markup: passes provider rates, no hidden per-token fees.
- +Can cut inference costs by over 40% compared to a single frontier model.
- +Supports routing across 200+ models from a single OpenAI-compatible endpoint.
- +Adaptive learning improves routing decisions over time.
- +Integrated guardrails include PII Shield and an agent firewall.
- −Uncensored model marketing is controversial and may alienate some users.
- −Router accuracy and cost-savings claims lack independent verification.
- −Learning curve for the routing DSL and adaptive learning configuration.
- −Support quality and availability unclear; no direct reviews.
- −Potential over-reliance on routing could lock users into platform.
- • Token usage is billed at provider rates, so your bill varies with model chosen.
- • Some advanced features like on-prem deployment likely only in Enterprise tier.
- • If you need compliance reporting below Team tier, you'll have to upgrade.
Viability Score
How well maintained and how widely used is OrcaRouter? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Adaptive LLM routing: every prompt graded before dispatch
- One OpenAI-compatible endpoint across 200+ models
- Automatic failover with retries that land before the response starts
- Zero token markup: provider list rate with a $0.00 OrcaRouter fee on Hacker and Team
- Bring Your Own Key using your own provider rate limits and credits
- Routing Rules DSL expressed as YAML plus CEL
- PII Shield, content policy and jailbreak guardrails enforced before billing
- Agent firewall that allows, reviews, or blocks tool and MCP calls before execution
- Data cloaking swaps names, emails and card numbers for stand-ins before the model sees them
- Zero data retention by default; prompts are not logged unless you turn logging on
- Quantum-safe log sealing with hybrid ML-KEM plus X25519, open-sourced as SCUTTLE
- Data residency declaration for US, EU, UK, Asia-Pacific or China
- On-request attested TEE execution with proof for every answer
- Prompt caching billed at the provider's discounted cache rate
- OrcaReplay: record an agent run, replay it, re-ask a turn on another model
About OrcaRouter
OrcaRouter is an AI gateway for teams that don't want to standardize on a single frontier model. Point your OpenAI SDK at base_url https://api.orcarouter.ai/v1 and set model to "orcarouter/auto"; the gateway grades the prompt before dispatch and sends it to a frontier or open-weight model based on your cost, quality, or latency target. Routing latency is advertised at under 10ms with automatic failover, and the vendor claims 40%+ inference cost savings from cache-aware adaptive routing. Token pricing is pass-through — you pay the upstream provider's published rate and OrcaRouter adds $0.00 per token, funded instead by optional Team and Enterprise subscriptions plus an MIT-licensed OrcaRouter Lite you can run on your own infrastructure. The second half of the product is governance: PII Shield, content policy, and an agent firewall that grades tool and MCP calls before they execute, all enforced before billing. Scoped API keys carry their own budgets and revocation, request logs show grade, model, latency, and cost per call, and any receipt copies out as a cURL command. If per-token gateway margins are what you resent most, that is the argument.
Behind the Verdict
OrcaRouter sits in a crowded category and picks its fight carefully. Its pitch is not that it routes better than anyone else — every gateway says that — but that it does not take a cut of your tokens. On the published pricing page the OrcaRouter fee column reads $0.00 against every model listed, including Claude Fable 5, Claude Opus 5, grok-4.3, and Claude Opus 4.8, and the rate shown is the provider's list rate per million tokens. The company's stated revenue is optional Team and Enterprise subscriptions. That is a cleaner commercial story than the 5–20% token margins the site attributes to other gateways. The technical surface is broader than the seed data suggested. Beyond adaptive routing and failover there is a Routing Rules DSL in YAML plus CEL, OrcaReplay for recording and re-running an agent turn against a different model, prompt versioning behind labels with rollback and no redeploy, a browser playground that lets you battle two models side by side, and BYOK so you can spend your own provider credits and rate limits. The governance stack — PII Shield, content policy, an agent firewall that allows, reviews, or blocks each tool and MCP call, 32 compliance framework packs, region-partitioned evidence for US, EU, UK, Asia-Pacific, or China, data cloaking that swaps names and card numbers for stand-ins, hybrid ML-KEM log encryption, and on-request attested TEE execution — is aimed at security and compliance buyers who would otherwise have to build that plumbing themselves. Where it does not fit: routing adds a hop, so a team running one static model gets latency and a learning curve for no gain. It is API-first — there is no native mobile or desktop client here, though the site does list Cursor, Claude Code, Codex, OpenClaw, and Hermes under agent integrations. Bigger uncertainty for a buyer is the one the site does not resolve: the Hacker tier is free forever with zero markup, Team is quoted as custom after a sales conversation, and Enterprise is custom with SLA commitments. If you need a published per-seat number before you can budget, you will be having that conversation. Also worth reading carefully: the site notes that BYOK traffic may carry a platform fee, while top-ups and subscriptions on Hacker and Team carry the $0.00 fee. Buy-your-own-key is not automatically the zero-markup path. The live model catalog is fast-moving — the homepage rotates through names like GPT-5.5 Pro, Claude Opus 5, Claude Fable 5, Gemini 3.1 Pro Preview and grok-4.3, and the pricing table pulls from the same catalog so a provider repricing shows up without a deploy. Assume the specific model lineup will look different in three months; the structural commitment (one endpoint, zero markup, guardrails before billing) is the part you are actually buying.
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Real-world workflow fit
Concrete scenarios for the personas OrcaRouter actually fits — and what changes day-one when you adopt it.
Swap the OpenAI base_url for api.orcarouter.ai/v1, set model to orcarouter/auto, and let the gateway route each prompt in a support chatbot between a cheap open-weight model and a frontier model when the grader scores the prompt as hard.
Outcome: A one-line code change moves the product onto multi-model routing, with request logs showing the grade, model, latency and cost for every call so the team can see where the savings actually came from.
Configure a fallback chain in the dashboard so a provider outage or rate limit triggers a retry to a backup model before the response begins streaming, and upstream 429s are absorbed by the gateway instead of surfacing to end users.
Outcome: Provider incidents stop becoming user-visible errors, and the fallback path is visible in the request log rather than reconstructed after the fact.
Turn on PII Shield and content policy in watch mode against real traffic, tag the workspace to the EU region, then switch enforcement on once the false-positive rate is understood, with the agent firewall holding destructive tool calls for human review.
Outcome: Policy violations are blocked before the model sees them and before billing, and the compliance evidence exports mapped to the relevant framework pack with the region tag attached.
Use Cases
- Route customer-facing chatbot prompts to the cheapest model that still clears your quality bar.
- Absorb upstream 429s and provider outages with an automatic failover chain configured in the dashboard.
- Enforce PII and content policy before billing so blocked prompts never reach the model or the invoice.
- Grade every tool and MCP call an agent makes, holding destructive actions for human review.
- Attribute every dollar of LLM spend to a request, a key, or a workspace with structured logs.
- Express task-specific model selection as code with the YAML plus CEL routing DSL.
- Record an agent run with OrcaReplay and re-ask individual turns on a different model to compare.
- Version prompts behind labels so you can roll back a regression without redeploying.
Models Under the Hood
as of 2026-09-22
Limitations
- OrcaRouter is an API gateway that grades each prompt and routes it to an underlying model rather than hosting models itself.
- The public model catalog moves fast — the homepage currently shows Anthropic Claude Fable 5, Claude Fable 5.1, Claude Opus 5, Claude Opus 4.8 and grok-4.3 alongside an orcarouter/auto option that lets the gateway pick a live model — so treat any specific model lineup as dated within weeks.
- Routing adds a per-call hop, though the vendor advertises under 10ms routing latency and failover retries that complete before the response starts.
- On pricing: the site states that the $0.00 fee applies to top-ups and subscriptions on Hacker and Team, while BYOK traffic may carry a platform fee and Enterprise contracts are quoted individually — read that line before assuming your own provider keys are the zero-markup path.
- Advanced governance such as compliance enforcement, audit reporting, data residency, SSO and the 99.99% uptime SLA sits on the paid Team and Enterprise tiers.
as of 2026-10-04
Verification history
We have re-verified OrcaRouter 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published OrcaRouter tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Hacker
$0/mo
Ideal for
Solo developer or small AI product team that wants the full routing gateway — 200+ models, auto-failover, prompt versioning — without paying a platform fee or a per-token margin.
What this tier adds
Free entry point: the complete gateway at $0/mo with 10 API keys and 0% token markup, but without team seats or compliance enforcement.
Team
Custom
Ideal for
Companies where more than one person touches the gateway and someone in security or legal needs enforced policy and audit reporting rather than watch-only guardrails.
What this tier adds
Adds up to 10 team seats, compliance enforcement and reports, and unlimited API keys over Hacker, still with zero token markup; quoted as custom.
Enterprise
Custom
Ideal for
Regulated organizations that need an SLA, dedicated capacity, and data residency with region-partitioned evidence before they can put production traffic through the gateway.
What this tier adds
Adds unlimited seats, dedicated infrastructure, a 99.99% uptime SLA, priority model access, and every hidden or beta feature; quoted individually.
Where the pricing makes sense
The company stage and team size where OrcaRouter's pricing actually pencils out — and where peers do it cheaper.
The free Hacker tier is unusual: the full gateway with 200+ models, routing, failover and zero token markup at $0/mo, which undercuts per-token gateways that take a margin on every call. Team and Enterprise are quoted as custom rather than published per-seat, which puts OrcaRouter's paid tiers in the same budgeting shape as enterprise gateways while its free tier is more generous than most. If you want a published per-seat number before signing, OrcaRouter asks for a conversation; if you want
Setup time & first value
How long it actually takes to get something useful out of OrcaRouter — broken out by persona, not the marketing-page minute.
An engineer with an existing OpenAI SDK integration can get first routed calls in under an hour — the site advertises live in 60 seconds with no credit card, and the swap is a base_url plus a model name. Governance takes longer: guardrails run in watch mode on real traffic before you turn enforcement on, so plan a few days of observation before PII Shield and the agent firewall go live. Team-tier
Switching to or from OrcaRouter
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From OpenAI direct: change base_url to api.orcarouter.ai/v1 and set model to orcarouter/auto, keeping the rest of your OpenAI SDK code as-is.
- →From OpenRouter: the vendor publishes a dedicated migration guide — change one line and keep your existing code.
- →From LiteLLM self-hosted: move your routing rules into the YAML plus CEL Routing DSL, or run OrcaRouter Lite on your own infrastructure if you want to keep the deployment model.
- →From a single-provider app: add a fallback chain so the provider you were pinned to becomes primary and others absorb its 429s.
- ↗To LiteLLM self-hosted: export routing intent and reimplement in LiteLLM config if you want full infrastructure control without a vendor gateway.
- ↗To direct provider APIs: strip the gateway base_url and point each workload at the provider whose model the router was selecting most often.
- ↗To a cloud-native gateway: rebuild routing, guardrails and audit in the provider's native stack if your compliance programme requires staying inside one cloud.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “OrcaRouter”, and we withheld 6: 6 could not be judged, because “OrcaRouter” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about OrcaRouter.
Official links
Tools that pair well with OrcaRouter
Common stack mates teams adopt alongside OrcaRouter, with the specific reason each pairing earns its keep.
OpenRouter Agents
One OpenAI-compatible API that routes any request across 500+ text, image, video, and audio models from 80+ providers.
Gateway
Portkey's AI Gateway routes, secures, and observes 3000+ LLMs through one OpenAI-compatible endpoint.
CometAPI
CometAPI is one OpenAI-compatible API key for 500+ text, image, video and audio models, priced at least 20% below official vendor rates.
Featured Head-to-Head Comparisons
Orcarouter vs Spider Cloud
For AI teams that need live web scraping for RAG at low cost, Spider Cloud is the clear winner with its Rust engine, 1K+ scraper catalog, and $0.03/1K pages. If your bottleneck is managing and routing across 200+ LLMs while cutting costs up to 40%, OrcaRouter is unmatched. They're complementary: use Spider Cloud to feed data into your RAG pipeline, and OrcaRouter to choose the best LLM for retrieval and generation.
Orcarouter vs Temporal Ai
Choose Temporal AI if you need fault-tolerant, long-running workflows for AI agents or microservices, and your team is comfortable with a workflow-as-code model. Pick OrcaRouter if your main challenge is controlling LLM costs across many models without degrading quality, and you want a zero-markup gateway with adaptive routing. They solve different problems: Temporal orchestrates execution; OrcaRouter optimizes model selection.
Orcarouter vs Voyage Ai
Choose Voyage AI if your priority is high-accuracy, domain-specialized embeddings for enterprise RAG (e.g., finance, legal) and you need long-context (32K tokens) or low-dimensional vectors to cut storage costs – but be prepared for custom pricing and no free tier. Choose OrcaRouter if you want to route prompts across 200+ models with adaptive optimization, zero markup, and automatic failover; its free Hacker tier is ideal for experimentation, and Team tier ($499/mo) suits production apps. They solve different problems: embeddings vs. routing – pick based on your primary need.
Alternatives to OrcaRouter
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OpenRouter Agents
One OpenAI-compatible API that routes any request across 500+ text, image, video, and audio models from 80+ providers.
Frequently Asked Questions
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