LLM Gateway
Access leading AI models through one OpenAI-compatible endpoint, reducing the need to build and maintain separate provider-specific integrations.
Explore Gemini 2.5 Flash API access through a unified, OpenAI-compatible workflow built for modern AI teams. FastRouter helps developers connect, test, and operate model workloads alongside other leading providers without maintaining separate integrations. Use intelligent routing, observability, governance, and fallback controls to make model decisions with clearer cost, quality, and reliability visibility.
Unified tools for connecting, routing, monitoring, and governing Gemini-powered AI workloads.
Access leading AI models through one OpenAI-compatible endpoint, reducing the need to build and maintain separate provider-specific integrations.
Route requests according to cost, latency, throughput, or output-quality priorities, so model selection can adapt without application code changes.
Configure prioritized fallback options that reroute requests when a provider, model, or rate limit issue affects normal availability.
Start with FastRouter and use the available free credits to explore the unified API without an initial credit-card commitment. Set up the workspace and identify the projects or applications that will send model requests.
See how unified controls support dependable, measurable AI operations across model providers.
"Excellent platform to test the latest LLMs for our use case. With new LLMs coming out every few weeks and benchmarks not giving the full picture, I rely on Fastrouter.ai to optimize my cost vs quality balance."
"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."
"FastRouter is a good value add, specifically when you are not sure which LLM is better for your use cases. You can play around with models, can compare against them, and then use normal OpenAI compatible APIs call to leverage the full potential of it."
"Excellent platform to test the latest LLMs for our use case. With new LLMs coming out every few weeks and benchmarks not giving the full picture, I rely on Fastrouter.ai to optimize my cost vs quality balance."
"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."
"FastRouter is a good value add, specifically when you are not sure which LLM is better for your use cases. You can play around with models, can compare against them, and then use normal OpenAI compatible APIs call to leverage the full potential of it."
"Excellent platform to test the latest LLMs for our use case. With new LLMs coming out every few weeks and benchmarks not giving the full picture, I rely on Fastrouter.ai to optimize my cost vs quality balance."
"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."
"FastRouter is a good value add, specifically when you are not sure which LLM is better for your use cases. You can play around with models, can compare against them, and then use normal OpenAI compatible APIs call to leverage the full potential of it."
Bring model access and the controls needed to operate it into one platform.
Use one OpenAI-compatible API instead of maintaining separate integrations for each model provider.
Select routing priorities for cost, latency, quality, or throughput on every request.
Track requests, latency, errors, usage, and costs through unified dashboards and detailed logs.
Apply access roles, spend limits, guardrails, and audit-ready controls across AI workloads.
One control plane for production AI operations.
FastRouter is positioned as an LLMOps platform for teams that need more than a direct connection to a single model provider. Its OpenAI-compatible control plane brings multi-provider routing, observability, experiment tracking, guardrails, cost governance, and evaluations into one operational foundation. Developers can use a consistent API while platform, security, finance, and product teams gain shared visibility into model activity and spending. The platform is designed for production environments where model availability, latency, output quality, access policies, and budget accountability all matter. By centralizing these controls, FastRouter helps teams evaluate new models, reduce provider dependence, and make changes without continually rebuilding application integrations.
The supplied FastRouter service information specifically identifies Gemini 3.1 Pro API access, but it does not confirm Gemini 2.5 Flash availability. Model catalogs can change as providers release, rename, or retire models. Before implementation, review the currently available models in the FastRouter dashboard or documentation and test the exact model identifier your application requires.
Talk with a team about API workflows, controls, and testing options.
Consistent integration approach for connected AI model providers.
Gateway-level controls for roles, budgets, access, and guardrails.
Resilience controls for provider outages and rate-limit events.
Share your model access, reliability, governance, or cost-management goals to explore the right FastRouter workflow.
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