RouterBase

What is RouterBase?

RouterBase is an API routing layer that exposes large language models and other generative AI models from many providers through a single, OpenAI-compatible endpoint. According to its site, it covers 200+ models from labs including OpenAI, Anthropic, Google DeepMind, DeepSeek, Qwen, Moonshot AI, Zhipu AI, MiniMax, ByteDance and Kuaishou, plus image, video and audio providers such as Flux, Ideogram, Veo, Kling, Runway and ElevenLabs.

The company positions RouterBase as a way to avoid writing and maintaining integration code for each provider separately. Its stated mission is to remove the "integration tax" — differing SDKs, billing models, rate-limit behaviour and outage patterns — so teams can call any supported model the same way. RouterBase is operated by DeepOpen, LLC, and the site states it is trusted by 10,000+ developers with 2B+ tokens served.

How RouterBase works

RouterBase sits between application code and upstream model providers. Sign-up and first use are described as three steps: create an sk-rb-… API key from the dashboard, point an existing OpenAI SDK at the RouterBase base URL, and call any model from the catalogue.

Because the API is OpenAI-compatible, the site states that the OpenAI SDK works as-is with only a base URL change. Behind that endpoint, RouterBase handles provider selection per request, retries and failover, and aggregates resulting usage and cost into one account.

The platform also records observability data for calls — tokens, latency, cost and payload — with dashboard logging described as off by default and opt-in.

Main features

• OpenAI-compatible API — a drop-in replacement for the OpenAI SDK, requiring a one-line base URL change.
• 200+ models, one key — coverage across OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek and xAI, plus image, video and audio providers.
• Smart routing — auto-selects the best provider per request by price, latency or availability.
• Automatic fallback — switches providers in milliseconds when the primary provider errors or times out.
• Unified billing — one invoice across all connected providers instead of multiple platform accounts.
• Usage analytics — spend tracked by model, key or project, with CSV export or API queries.
• Real-time observability — per-call logging of tokens, latency, cost and payload, opt-in.

The site also publishes developer testimonials from Paradigm AI, Quillo, Northbeam and Daybreak Robotics citing reduced integration work, faster provider switching during an upstream outage, lower p95 latency through smart routing, and consolidated billing.

Pricing

Pricing is usage-based and expressed as a rate per million tokens, varying by model. The supplied pages list these examples, with discounted RouterBase rates shown against struck-through list rates:

Model	RouterBase rate (per M tokens)	List rate shown
Gemini 3.6 Flash	$2.63	$3.75 (30% saving)
Gemini 3.8 Flash	$2.63	$3.75 (30% saving)
DeepSeek V4.1 Flash	$1.20	—
GPT-5.6-Luna	$1.02	$1.20 (15% saving)
GPT-5.6-Sol	$25.50	$30.00 (15% saving)
GPT-5.6-Terra	$10.20	$12.00 (15% saving)
GLM-5.3-Flash	$0.425	$0.50 (15% saving)
DeepSeek V4 Pro (0813)	$3.96	—

The supplied pages describe no subscription tiers, platform fee, free allowance or spend cap. Model descriptions note context windows (1M tokens on several listed models), reasoning, function calling, structured outputs and prompt caching, but these are model capabilities rather than separate add-on prices.

Common use cases

• Applications that need to call several frontier models from one codebase without maintaining multiple SDK integrations.
• Cost optimisation, where routing selects a cheaper provider per request and discounted per-token rates apply.
• Reliability engineering, using automatic fallback so an upstream provider outage does not interrupt user-facing traffic.
• Finance and operations consolidation, replacing several vendor invoices with a single bill and per-model spend reporting.
• Model evaluation and experimentation, swapping models by name rather than re-integrating.
• Multimodal pipelines spanning chat, image, video and audio models.

Limitations

• Pricing scope is narrow. The supplied pages show per-token rates for a handful of models. No free tier, subscription plan, minimum commitment, spend cap, enterprise agreement or invoice terms are described.
• Omitted operational details. Rate limits, uptime or SLA guarantees, regional data handling, and support tiers are not stated on the supplied pages.
• Zero-retention is conditional. The about page says prompts and completions are forwarded with upstream zero-retention flags set "wherever supported," implying not every upstream provider may support that setting; dashboard logging is off by default and opt-in.
• Catalogue is only partially shown. The 200+ model claim appears on the homepage, but only a curated subset with rates is displayed; full availability and per-provider status are not confirmed in the supplied material.
• Routing behaviour is not fully specified. The site promises millisecond provider switching during failures but does not explain how fallback affects output consistency, version pinning beyond snapshot-named models, or provider-selection overrides.
• Testimonials are vendor-published and some quotes are truncated in the supplied pages; they are not independently verified metrics.
• The supplied pricing page repeats homepage content, so no separate plan-comparison documentation was available.

Summary

RouterBase is a unified, OpenAI-compatible API gateway for 200+ AI models, combining one key, smart per-request routing, automatic failover, unified billing and opt-in per-call observability. It is operated by DeepOpen, LLC. Charging is usage-based per million tokens with discounted rates shown on several listed models; subscription terms, SLAs and the complete model catalogue are not detailed on the supplied pages.