
Ultra-fast AI inference on the LPU and LPX platform

Open models served fast, with warm-cache routing for agents
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026

This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, RightNow Inference (RunInfra) (runinfra.ai) is an AI platform indexed under AI Developer Tools generating 18.11K monthly visits with a month-over-month traffic delta of -5.28K (-22.6%). Its primary geographic market is India (48.4% traffic share), and it operates on a Free Trial, Paid, Contact for Pricing pricing model. Top competing alternatives by monthly volume include Groq (3.99M visits/mo), Together AI (1.65M visits/mo), DeepSeek (372.76M visits/mo).
Session-aware cache routing cut our agent token bills in half. Absolute game changer for multi-turn LLM loops.
Drop-in replacement for OpenAI SDK. Speeds are consistently fast.
Great selection of open-source models ready to deploy.
Dashboard UI can occasionally feel a bit cluttered.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
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.
One API key works with both the OpenAI and Anthropic SDKs, so existing agent code can switch providers with minimal changes.
Serves open-weight models with published pricing, tool calling, JSON mode, streaming and image-input capabilities, plus live output-speed and cache metrics.
Cache hits appear in usage and are billed at the cached rate, with a published measurement methodology and per-model effective input rates.
Flat monthly plans for Claude Code, opencode and 20+ other agents, with usage windows and a free standby option when limits are reached.
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.
Keep context warm across turns so repeated input is billed at cached rates, which matters most for multi-step agents that resend large prompts.
Use OpenAI- and Anthropic-compatible endpoints to add open-weight models to an existing stack without rewriting SDK integrations.
Give developers coding-plan access to popular agent tools with predictable monthly pricing and rolling usage windows.
Use published output-speed, cache-hit and effective input figures to compare providers on a like-for-like basis.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | RightNow Inference (RunInfra) | 18.11K | -22.6% | 43% direct | Free Trial, Paid, Contact for Pricing | Current |
| 1 | Groq | 3.99M | +10% | 43% direct | Paid | vs Groq |
| 2 | Together AI | 1.65M | +64.9% | 54% direct | Freemium, Paid | vs Together AI |
| 3 | DeepSeek | 372.76M | +4.3% | 78% direct | Freemium | vs DeepSeek |
| 4 | DeepInfra | 457.81K | -8.9% | 52% direct | Paid | vs DeepInfra |
| 5 | Chutes | 250.19K | -15.2% | 75% direct | Paid | vs Chutes |
| 6 | OrcaRouter | 975.3K | -5.2% | 26% direct | Freemium | vs OrcaRouter |

Ultra-fast AI inference on the LPU and LPX platform

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 backed by in-house systems research.
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 backed by in-house systems research.
Free / Open-sourceHigh-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.
Free / Open-sourceHigh-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.

Low-cost serverless inference APIs for 200+ open models

Free / Open-sourceServerless, decentralized inference for open-source AI models
One OpenAI-compatible gateway for adaptive LLM routing, guardrails, and spend control
One OpenAI-compatible gateway for adaptive LLM routing, guardrails, and spend control
AI gateway, observability and guardrails for production LLM apps

High-throughput open-weight inference with latency-based pricing
High-throughput open-weight inference with latency-based pricing
One cloud for 200+ model APIs, agent sandboxes and GPU compute
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud

Free / Open-sourceGoogle's family of lightweight, open-weight AI models
Free / Open-sourceGoogle's family of lightweight, open-weight AI models
One API for fast, cost-predictable inference on LLMs and multimodal models
One API for fast, cost-predictable inference on LLMs and multimodal models