Interface · LLM gateway

The LLM gateway that cuts inference costs.

One endpoint for OpenAI, Anthropic, and open models — routed automatically to the cheapest one that clears your quality bar.

$50 in model credits · Free routing through 2026

Free routing through 2026 · $50 in model credits

Point one OpenAI-compatible key at OpenAI, Anthropic, Google, Grok, and open models — with no per-provider integrations to maintain.

Copy for agent

⧉curl -fsSL https://neev.ai/install.sh | sh
Providers1 key
OpenAI
Anthropic
Google
Meta
Mistral
xAI
one key · zero data retention available
OpenAIAnthropicGoogleMetaMistralxAI
Tagged requests live
14:22:07.412customer_supporthaiku-4.5$0.0031
14:22:07.408code_generationsonnet-5$0.0148
14:22:07.401doc_processinghaiku-4.5$0.0024
14:22:07.396customer_supporthaiku-4.5$0.0029
14:22:07.390everything_elsehaiku-4.5$0.0011
14:22:07.385code_generationsonnet-5$0.0162
every request labelled by workload before it is routed

Control AI spend from inference to invoice.

AI infrastructure moves in milliseconds. Financial visibility arrives at month-end. Interface brings them into the same operating rhythm, so companies can grow without slowing innovation.

Get started →

What teams say about Interface

“We pointed our whole agent stack at one endpoint and inference dropped by a third — without a single quality regression.”
Placeholder Name · Company
“Finance finally has spend controls that live outside the agent. We cap budgets before the money is gone, not at month-end.”
Placeholder Name · Company
“Fallbacks alone paid for themselves the first time a provider had an outage. Traffic just rerouted and nobody noticed.”
Placeholder Name · Company

Benchmark

Score versus spend.

Explore the full benchmark →
Blended cost · Bleeding-edge workloads

Blended cost per 1M tokens

Same quality bar

100%80%60%40%20%0%
$0.42
Neev
Haiku
Flash
4o-mini
GPT-4o
Opus
Interface · routed$0.42 / 1M−76% vs. Opus
Methodology

Scored across a 50k-request eval — chat, extraction, and code.

Quality bar held at ≥ 0.85 with an LLM judge.

26 models priced at published list rates, Sept 2026.

Routing policy

cheapest-that-clearsfallback-on-errorcache-hits

Put to work in production.

Real workloads are Interface's proving ground. The lessons we learn in production feed directly back into the routing engine.

Production value
2.75T+
Tokens routed monthly

How a fintech cut AI costs 30% on internal workloads

Interface responds to live latency and failure rates, cutting spend by 30% without sacrificing performance.

Read the case study→

Stage routing for coding agents

Intelligent model selection reduced cost by 59% and run time by 35% on a production coding-agent workload.

Watch the video→
“Interface cut our overall LLM cost by 30% while making our features smarter and faster.”
Placeholder Name · CTO, Company

More from the Lab

Jul 1, 2026

Routing that adapts to live latency and failure rates

How Interface reacts to provider health in real time to hold quality while cutting cost.

Read the post→
May 27, 2026

Spend control belongs outside the agent

Agents can't be trusted to manage their own token budgets — control has to live in a separate, evidence-grounded system.

Read the post→
May 7, 2026

Benchmarking 26 models on real production traffic

What we learned scoring cost against quality across closed and open models on the same workloads.

Read the post→
Apr 21, 2026

One OpenAI-compatible endpoint, every provider

The design of a gateway that swaps models underneath without your integration ever changing.

Read the post→
←→

Tokens are money. Save both.

Free routing through 2026 with $50 in model credits. No card required.