# OrcaRouter vs RightNow Inference (RunInfra)

OrcaRouter records 975,300 monthly visits with -5.2% month-over-month growth and Freemium pricing. RightNow Inference (RunInfra) records 18,110 monthly visits with -22.6% growth and Free Trial, Paid, Contact for Pricing pricing.

| Metric | [OrcaRouter](https://openaitools.app/tool/orcarouter) | [RightNow Inference (RunInfra)](https://openaitools.app/tool/runinfra) |
| :--- | :--- | :--- |
| Website URL | https://www.orcarouter.ai | https://runinfra.ai |
| Categories | AI API, Large Language Models (LLMs), AI Developer Tools | AI Developer Tools, Large Language Models (LLMs), AI API, Open Source AI Models |
| Pricing Model | Freemium | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 975,300 | 18,110 |
| MoM Growth Rate | -5.2% | -22.6% |
| Primary Market | United States | India |
| Direct Visits | 249,710 | 7,781 |
| Review Score | 4.3 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## OrcaRouter

OrcaRouter consolidates access to more than 200 large language, image, and video models behind one API endpoint. Instead of hard-coding a single provider, developers send requests to a router model, and the gateway grades each prompt for difficulty and intent before sending it to a model that meets the required quality bar. That adaptive routing, combined with prompt caching and zero token markup, is how it claims 40%+ inference cost savings while keeping routing accuracy high and latency under roughly 10 milliseconds.

Beyond routing, OrcaRouter adds the operational layers production teams usually have to build themselves. There is automatic failover with configurable fallback chains, YAML-and-CEL routing rules expressed as code, bring-your-own-key support, and the option to attach your own GPU via Orca Connect. Observability is built in through request logs with per-call grade, model, latency, and cost, plus a spend and quality dashboard. An MIT-licensed self-hosted gateway, OrcaRouter Lite, is available for teams that want to run it on their own infrastructure.

Governance is a major focus: PII shielding and content policies are enforced before billing, an agent firewall grades every tool and MCP call, and 32 compliance framework packs generate exportable evidence. The platform also offers privacy features such as data cloaking, zero-data-retention options, quantum-safe log encryption, regional data residency, and attested TEE enclaves. A free tier exists alongside paid plans, and pay-as-you-go usage carries no token markup.

**Pricing & Plans:** Freemium

- **Adaptive routing and failover:** Each prompt is graded and routed to the model that clears your quality bar, with configurable fallback chains that retry before a response starts.
- **Zero token markup:** Pay provider prices with $0 per-token added on pay-as-you-go and subscriptions, or bring your own provider keys and credits.
- **Guardrails and agent firewall:** PII shielding, jailbreak and injection blocking, and per-call approval for tool and MCP actions run before you are billed.
- **Observability and cost insights:** Request logs, per-prompt receipts, routing and spend dashboards, and copy-as-cURL make every call auditable and attributable.
- **Compliance and privacy controls:** 32 framework packs, data cloaking, ZDR agreements, regional residency, and quantum-safe encrypted logs support regulated deployments.

**Strengths:** One OpenAI-compatible endpoint across 200+ models; Zero token markup with optional bring-your-own-key; Built-in guardrails, agent firewall, and compliance packs; Self-hostable MIT-licensed Lite gateway

**Limitations:** Advanced routing DSL and governance take time to configure well; Some features like TEE and data residency are request-only; A newer platform, so long-term ecosystem and community maturity is still building

[Profile (Markdown)](https://openaitools.app/tool/orcarouter.md)

## RightNow Inference (RunInfra)

RightNow Inference, which operates at runinfra.ai, is a Y Combinator-backed inference provider focused on the economics of agentic workloads. Agents tend to resend the same context on every turn, which makes input tokens the dominant cost. RightNow Inference addresses this with session-aware routing: repeat calls from one session prefer the GPU replica that already holds the relevant KV cache, so cached input is billed at a fraction of list price.

The platform serves a curated library of open-weight models — including models from the DeepSeek, GLM, Qwen and Step families — through endpoints compatible with the OpenAI and Anthropic SDKs, so existing agent code needs minimal changes. The company publishes per-model output speed, cache-hit rates and effective input pricing, and documents its cache measurement methodology publicly.

Beyond metered API usage, RightNow Inference offers coding plans from $10 a month designed for tools such as Claude Code and opencode, with usage that resets on rolling five-hour and weekly windows and a free standby option when a limit is reached. The service is marketed to teams that want controllable costs without giving up open-model quality.

**Pricing & Plans:** Metered API pricing is published per model, with cached input rates starting around $0.01 per million tokens and effective input costs often several times lower than list thanks to high cache-hit rates. Coding plans start at $10/month (Starter), $29/month (Pro) and $99/month (Team), with included usage that resets every five hours and weekly, plus pay-as-you-go credits or a free standby tier at the limit. A free trial and contact-based enterprise arrangements are also offered.

- **Warm-cache session routing:** Automatically keeps repeated calls from one agent session on the replica that already holds its context, reaching reported cache-hit rates around 99% and cutting effective input costs.
- **Drop-in API compatibility:** One API key works with both the OpenAI and Anthropic SDKs, so existing agent code can switch providers with minimal changes.
- **Curated open-model library:** Serves open-weight models with published pricing, tool calling, JSON mode, streaming and image-input capabilities, plus live output-speed and cache metrics.
- **Transparent cached billing:** Cache hits appear in usage and are billed at the cached rate, with a published measurement methodology and per-model effective input rates.
- **Coding-agent plans:** Flat monthly plans for Claude Code, opencode and 20+ other agents, with usage windows and a free standby option when limits are reached.

**Strengths:** Session-aware routing can push cache-hit rates near 99%, sharply lowering effective input cost; OpenAI and Anthropic SDK compatibility keeps migration effort low; Published per-model speed, cache and pricing data supports informed comparisons; Affordable coding plans with a free standby option when limits are hit

**Limitations:** Model library is curated and smaller than large general-purpose aggregators; Cached and effective pricing depends on best-effort cache hits, so results vary by workload; Some reported benchmark figures come from the vendor's own measurement method

[Profile (Markdown)](https://openaitools.app/tool/runinfra.md)

## Frequently Asked Questions

### How do OrcaRouter and RightNow Inference (RunInfra) compare in monthly traffic?

OrcaRouter has 975,300 monthly visits, while RightNow Inference (RunInfra) has 18,110. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

OrcaRouter has a month-over-month growth rate of -5.2%; RightNow Inference (RunInfra) has -22.6%.

### How does pricing compare?

OrcaRouter: Freemium. Freemium RightNow Inference (RunInfra): Free Trial, Paid, Contact for Pricing. Metered API pricing is published per model, with cached input rates starting around $0.01 per million tokens and effective input costs often several times lower than list thanks to high cache-hit rates. Coding plans start at $10/month (Starter), $29/month (Pro) and $99/month (Team), with included usage that resets every five hours and weekly, plus pay-as-you-go credits or a free standby tier at the limit. A free trial and contact-based enterprise arrangements are also offered.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Provides access to a massive catalog of frontier models with flexible routing, but lacks OrcaRouter's dedicated enterprise governance. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 3 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 4 | [Gemma Open Models by Google](https://openaitools.app/tool/gemma-open-models-by-google) | 4,900,914 | -13.5% | Freemium, Paid | Google's family of lightweight, open-weight AI models | [.md](https://openaitools.app/tool/gemma-open-models-by-google.md) |
| 5 | [Groq](https://openaitools.app/tool/groq) | 3,987,936 | +10% | Paid | Ultra-fast AI inference on the LPU and LPX platform | [.md](https://openaitools.app/tool/groq.md) |
| 6 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all b | [.md](https://openaitools.app/tool/together-ai.md) |
| 7 | [CometAPI](https://openaitools.app/tool/cometapi) | 602,966 | +49.7% | Pay-as-you-go (credits) | One OpenAI-compatible API key for 500+ AI models | [.md](https://openaitools.app/tool/cometapi.md) |
| 8 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | Offers an open-source proxy and SDK for unifying 100+ LLMs with failover, requiring self-hosting rather than a managed service. | [.md](https://openaitools.app/tool/litellm.md) |
| 9 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Low-cost serverless inference APIs for 200+ open models | [.md](https://openaitools.app/tool/deep-infra.md) |
| 10 | [ZenMux](https://openaitools.app/tool/zenmux) | 444,394 | +16.7% | Freemium, Paid | Routes requests across frontier models with automatic failover and analytics, serving as a straightforward alternative API proxy. | [.md](https://openaitools.app/tool/zenmux.md) |

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Source: https://openaitools.app/compare/orcarouter-vs-runinfra

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