# Lamini vs RightNow Inference (RunInfra)

Lamini records 4,158 monthly visits with +0.3% month-over-month growth and Freemium, Contact for Pricing pricing. RightNow Inference (RunInfra) records 18,110 monthly visits with -22.6% growth and Free Trial, Paid, Contact for Pricing pricing.

| Metric | [Lamini](https://openaitools.app/tool/lamini) | [RightNow Inference (RunInfra)](https://openaitools.app/tool/runinfra) |
| :--- | :--- | :--- |
| Website URL | https://lamini.ai | https://runinfra.ai |
| Categories | Large Language Models (LLMs), AI Developer Tools, AI Agent, AI Text Classifier | AI Developer Tools, Large Language Models (LLMs), AI API, Open Source AI Models |
| Pricing Model | Freemium, Contact for Pricing | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 4,158 | 18,110 |
| MoM Growth Rate | +0.3% | -22.6% |
| Primary Market | United States | India |
| Direct Visits | 1,637 | 7,781 |
| Review Score | 4.3 | 4.4 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Lamini

Lamini is an enterprise LLM platform built around a specific thesis: most companies do not want a generic model that occasionally makes things up, they want a model that knows their data and behaves reliably. To that end the platform combines fine-tuning on your own data with tuned inference runtimes, and its marketing centres on reducing hallucinations and improving accuracy on the tasks enterprises actually run — text-to-SQL, classification, retrieval-augmented generation and function calling.

Rather than only offering API access to a shared model, Lamini gives teams the tools to develop, control and deploy their own models, which matters for privacy, governance and cost predictability. The company is also notable for running LLM training and serving on AMD GPUs, positioning itself as part of a broader multi-vendor GPU ecosystem.

In practice Lamini fits engineering-led organisations with data pipelines and ML skills, not casual users. It is positioned with a freemium entry point and enterprise pricing by arrangement, with a strong emphasis on security and deployment control. Because the exact feature set and commercial terms evolve, treat the official Lamini site as the authoritative source for current capabilities and pricing before committing.

**Pricing & Plans:** Freemium entry point with enterprise pricing available on request. Pricing is sales-led for scaled deployments; check the official Lamini site for the current free tier, plan details and enterprise terms.

- **Custom model fine-tuning:** Train and fine-tune open large language models on your own domain data so output matches your vocabulary, formats and policies.
- **Hallucination reduction:** Tuned inference runtimes and grounding techniques aimed at cutting hallucinations and raising accuracy on domain-specific tasks.
- **RAG, text-to-SQL and classification:** Supports common enterprise patterns — retrieval-augmented generation, text-to-SQL, text classification and function calling.
- **AMD GPU acceleration:** Run training and inference workloads on AMD GPUs as an alternative GPU supply path for LLM workloads.
- **Secure, controlled deployment:** Develop and serve models in an enterprise-oriented environment that keeps data and model control with your team.

**Strengths:** Purpose-built for custom, high-accuracy LLMs rather than one-size-fits-all APIs; Explicit focus on reducing hallucinations and improving domain accuracy; Supports the enterprise staples: RAG, text-to-SQL, classification and function calling; AMD GPU workloads offer an alternative to single-vendor GPU supply

**Limitations:** The marketed endpoints can be expensive at scale and pricing is sales-led, so you need a conversation to budget enterprise use; Deployment and fine-tuning workflows assume ML engineering skills, so it is not a no-code tool; You are tied into its ecosystem and runtimes for training and serving; Small teams without an existing data pipeline will find setup and data preparation heavy

[Profile (Markdown)](https://openaitools.app/tool/lamini.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 Lamini and RightNow Inference (RunInfra) compare in monthly traffic?

Lamini has 4,158 monthly visits, while RightNow Inference (RunInfra) has 18,110. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Lamini has a month-over-month growth rate of +0.3%; RightNow Inference (RunInfra) has -22.6%.

### How does pricing compare?

Lamini: Freemium, Contact for Pricing. Freemium entry point with enterprise pricing available on request. Pricing is sales-led for scaled deployments; check the official Lamini site for the current free tier, plan details and enterprise terms. 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 | [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) |
| 3 | [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) |
| 4 | [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) |
| 5 | [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) |
| 6 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | One OpenAI-compatible gateway for adaptive LLM routing, guardrails, and spend control | [.md](https://openaitools.app/tool/orcarouter.md) |
| 7 | [Vapi](https://openaitools.app/tool/vapi) | 662,301 | -11.4% | Freemium | Build, test, and deploy production-grade voice AI agents over API | [.md](https://openaitools.app/tool/vapi.md) |
| 8 | [BLACKBOX.AI](https://openaitools.app/tool/blackbox-ai-1) | 622,975 | -27.2% | Free Trial, Paid | High-trust frontier inference, encrypted end to end | [.md](https://openaitools.app/tool/blackbox-ai-1.md) |
| 9 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | The data, evaluations and systems behind AI that has to be right. | [.md](https://openaitools.app/tool/scale.md) |
| 10 | [Abliteration.ai](https://openaitools.app/tool/abliteration-ai) | 522,766 | +23.9% | Freemium, Paid, Contact for Pricing | Unrestricted, OpenAI-compatible LLM API governed by your own policies | [.md](https://openaitools.app/tool/abliteration-ai.md) |

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

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