# Doubleword vs Relace

Doubleword records 21,405 monthly visits with -56.3% month-over-month growth and Paid, Contact for Pricing pricing. Relace records 8,865 monthly visits with -48.5% growth and Freemium, Paid pricing.

| Metric | [Doubleword](https://openaitools.app/tool/doubleword) | [Relace](https://openaitools.app/tool/relace) |
| :--- | :--- | :--- |
| Website URL | https://doubleword.ai | https://www.relace.ai |
| Categories | AI API, AI Agent, Open Source AI Models, Large Language Models (LLMs) | AI Developer Tools, AI Agent, AI Code Assistant, AI Code Generator |
| Pricing Model | Paid, Contact for Pricing | Freemium, Paid |
| Monthly Visits | 21,405 | 8,865 |
| MoM Growth Rate | -56.3% | -48.5% |
| Primary Market | United States | United States |
| Direct Visits | 7,780 | 3,579 |
| 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)

## Relace

Relace provides an API-first inference service for open-weight frontier models. Developers sign up, get an API key, and call models such as DeepSeek, Kimi and GLM variants directly, paying only for the tokens they use. All models are billed per token on a pay-as-you-go basis with no subscription or minimum spend, and prompts that reuse a cached prefix are discounted substantially. The company reports serving tens of trillions of tokens per month and consistently ranks among the top providers on OpenRouter, often as the cheapest option for the models it hosts.

Rather than training its own models, Relace focuses on the efficiency of the serving stack — scheduling, batching and GPU utilization — so that it can pass lower costs on to customers. The same models are also reachable through OpenRouter if you prefer a routing layer, while direct access gives you the lowest latency and volume pricing. Team members are reachable by email for large token spenders, GPU partners and hiring conversations.

The product is aimed at developers and companies building AI applications that need reliable, cheap access to strong open models at scale. Because prices are repriced frequently, the rate returned by the API at request time is the one you pay.

**Pricing & Plans:** Pay-as-you-go, per-token pricing with no subscription or minimum. Input, cached input and output tokens are billed separately; volume pricing is available on request. Some model listings may also appear as free on routing platforms.

- **Pay-as-you-go per-token API:** No subscription or minimum commitment — you are billed only for the input, cached input and output tokens you consume.
- **Discounted cached input:** Reusing a cached prefix costs a fraction of the standard input price, which lowers cost for repetitive or agentic workloads.
- **Open-weight frontier models:** Serve popular open models such as DeepSeek, Kimi and GLM families through one consistent endpoint.
- **High-throughput serving stack:** Optimized scheduling and GPU utilization help Relace rank among the top providers by daily token volume on OpenRouter.
- **Direct key or OpenRouter access:** Get an API key for direct low-latency calls, or reach the same models through the OpenRouter routing layer.

**Strengths:** Very competitive per-token pricing, often cheapest for the models served; No subscription or minimum spend — pure pay-as-you-go; Large cached-input discounts reward prompt reuse; High daily token volume and strong OpenRouter rankings suggest reliable scale

**Limitations:** As an open-weight serving provider it does not train or host proprietary frontier models; Pricing changes frequently, so costs can shift over time; The website notes it is updated infrequently, so some marketing pages lag the product

[Profile (Markdown)](https://openaitools.app/tool/relace.md)

## Frequently Asked Questions

### How do Doubleword and Relace compare in monthly traffic?

Doubleword has 21,405 monthly visits, while Relace has 8,865. 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%; Relace has -48.5%.

### 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. Relace: Freemium, Paid. Pay-as-you-go, per-token pricing with no subscription or minimum. Input, cached input and output tokens are billed separately; volume pricing is available on request. Some model listings may also appear as free on routing platforms.

## 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 | [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 | [You.com](https://openaitools.app/tool/you) | 948,349 | +7% | Freemium | Search and inference APIs that give AI models real-time web data | [.md](https://openaitools.app/tool/you.md) |
| 7 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Open-source, memory-efficient fine-tuning and local model running | [.md](https://openaitools.app/tool/unsloth-ai.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Low-cost serverless inference APIs for 200+ open models | [.md](https://openaitools.app/tool/deep-infra.md) |

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

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