# Doubleword vs RightNow Inference (RunInfra)

Doubleword records 21,405 monthly visits with -56.3% month-over-month growth and Paid, 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 | [Doubleword](https://openaitools.app/tool/doubleword) | [RightNow Inference (RunInfra)](https://openaitools.app/tool/runinfra) |
| :--- | :--- | :--- |
| Website URL | https://doubleword.ai | https://runinfra.ai |
| Categories | AI API, AI Agent, Open Source AI Models, Large Language Models (LLMs) | AI Developer Tools, Large Language Models (LLMs), AI API, Open Source AI Models |
| Pricing Model | Paid, Contact for Pricing | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 21,405 | 18,110 |
| MoM Growth Rate | -56.3% | -22.6% |
| Primary Market | United States | India |
| Direct Visits | 7,780 | 7,781 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Doubleword

Doubleword is an inference provider that runs popular open-weight models on its own optimized stack rather than reselling a hyperscaler's endpoints. It positions itself for teams whose workloads are token-hungry — agent loops, document extraction, dataset annotation, evaluation runs, and other pipelines that call models millions of times — and who therefore care more about throughput and cost per token than about cutting-edge single-shot reasoning.

A distinctive part of the offering is latency-based pricing: the same model is available at different speeds, so users choose a realtime tier for interactive requests, an async tier that trades some latency for lower cost, or a 24-hour batch tier for jobs that can wait. All tiers are billed by tokens, with prepaid credits on the self-service plan. Doubleword also advertises prompt caching, tool calling, structured outputs, and zero data retention as standard.

For heavier or regulated workloads, the company offers dedicated deployments with guaranteed high-throughput capacity and no rate limits, custom model hosting, region-locked processing (for example US- or EU-based inference), signed agreements, and engineering support. The platform is built around OpenAI-compatible APIs, so existing code and agent frameworks can be pointed at it with minimal changes.

**Pricing & Plans:** Self-service inference is pay-as-you-go with prepaid credits and no subscription. Dedicated inference is quoted separately and includes volume pricing. Rather than fixed plans, cost depends on the model, the chosen speed tier, and prompt/response lengths.

- **Latency-based speed tiers:** Run the same model in realtime, async, or 24-hour batch mode and pay less the longer the job can wait.
- **OpenAI-compatible API:** Point existing SDKs and agent code at Doubleword with minimal changes, using prompt caching, tool calling, and structured outputs.
- **Access to major open-weight models:** Use leading open-weight text, coding, math, and vision language models through one endpoint and one billing relationship.
- **Dedicated high-throughput capacity:** Reserve optimized infrastructure for sustained real-time traffic without rate limits, with workload-specific tuning.
- **Zero data retention:** Zero Data Retention is included by default, and region-locked processing is available for compliance-driven deployments.

**Strengths:** Latency-based tiers give a genuine lever for cutting inference cost; OpenAI-compatible interface keeps migration effort low; Dedicated options cover high-volume and compliance-sensitive deployments; Zero Data Retention is included rather than sold as an add-on

**Limitations:** No fixed published price plans, so budgeting needs usage estimates; Dedicated capacity requires a sales conversation and a commitment; Model catalog trails the largest closed-model providers on frontier capabilities

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

Doubleword has 21,405 monthly visits, while RightNow Inference (RunInfra) has 18,110. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Doubleword has a month-over-month growth rate of -56.3%; RightNow Inference (RunInfra) has -22.6%.

### How does pricing compare?

Doubleword: Paid, Contact for Pricing. Self-service inference is pay-as-you-go with prepaid credits and no subscription. Dedicated inference is quoted separately and includes volume pricing. Rather than fixed plans, cost depends on the model, the chosen speed tier, and prompt/response lengths. 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 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents. | [.md](https://openaitools.app/tool/openai.md) |
| 3 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Alibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 4 | [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) |
| 5 | [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) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Run, ensemble and train open AI models as your own specialized intelligence | [.md](https://openaitools.app/tool/fireworks-ai.md) |
| 10 | [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) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)