What is Runware, in one sentence?

Runware is an AI inference platform offering a single API across hundreds of thousands of image, video, audio, LLM and 3D models, together with serverless GPU compute and reserved capacity on its own modular data centers.

How does billing work?

It is pay-as-you-go with no subscription. You are billed per generation, per second of video, per character of audio or per token for LLMs, and serverless GPUs are metered by the second and scale to zero when idle. Failed or rate-limited requests are not charged.

Is there a free trial?

Yes — new users who sign up with a business email receive $2 in free credits to test models on the platform.

Can I run my own model or container?

Yes. You can bring your own containers and model weights and run them on the same modular GPU infrastructure that powers the Runware API, billed by the second. Uploaded models and content remain private.

Does Runware train on my data?

No. Runware states that it does not use your inputs or outputs to train models, and enterprise teams can enable Zero Data Retention so request content is not stored.

Runware の月間トラフィックと成長トレンドはどうですか？

Runware は現在、月間 40.29万の訪問があり、前月比のトラフィック変動は +8.58万（成長率 +27.1%）です。主要な流入市場はアメリカ合衆国（シェア 27.3%）で、月間 18.98万のダイレクト訪問と月間 — のオーガニック検索訪問を含みます。

Runware は無料ですか？料金モデルは何ですか？

Runware は有料の料金モデルで運営されています。Pay-as-you-go with no subscription required. Managed inference is billed per generation, per second of video, per character of audio, or per 1M tokens for LLMs; published rates include examples such as FLUX 3 Image Klein from about $0.003 per image and GLM-5.3-Flash at $0.15 per 1M input tokens. Serverless GPU compute is metered by the second (RTX PRO 6000 listed around $1.99 per GPU-hour) and scales to zero; reserved capacity is advertised as low as $0.63 per GPU-hour on term commitments, with dedicated bare-metal clusters available from 72 GPUs. Failed or rate-limited requests are not charged, new users signing up with a business email receive $2 in free credits, and volume discounts are available via sales. 対応する請求・チェックアウトプラットフォームには未掲載が含まれます。

Runware — 月間訪問数 (40.29万/月)・料金・API・代替ツール比較

Open AI Tools

Runware — 月間訪問数 (40.29万/月)・料金・API・代替ツール比較 | Open AI Tools

4.5 / 5編集部スコア評価の根拠

実用性: 4.7
更新の活発さ: 4.8
コスパ: 4.6

編集部による 5 点満点の評価です。ユーザー評価の平均ではありません。このページの各視点は、製品情報をもとに AI がまとめたものです。実際の利用者のレビューではありません。

主な事実とテレメトリの概要

OpenAITools.app のテレメトリ（2026-11-11 検証）によると、Runware（runware.ai）は AI API に分類される AI プラットフォームで、月間 40.29万の訪問を生み出し、前月比のトラフィック増減は +8.58万（+27.1%）です。主要な地域市場はアメリカ合衆国（トラフィックシェア 27.3%）で、有料の料金モデルで運営されています。月間ボリューム別の主な競合代替ツールには fal.ai（月間 309.37万訪問）、Replicate AI（月間 90.4万訪問）、Novita AI（月間 27.14万訪問）が含まれます。

Runware を選ぶ理由（強み）

+Unusually broad catalog — hundreds of thousands of models behind one consistent endpoint and API key
+Aggressive published pricing, with claims of up to 10x lower cost per generation than market rates
+Both managed inference and raw compute in one platform, so you can migrate from API calls to your own containers without changing vendors
+Real infrastructure differentiation through self-designed modular data centers rather than reselling someone else's capacity
+Strong compliance posture for an AI API vendor: SOC 2, ISO 27001, GDPR, EU/US residency, SSO/SAML and Zero Data Retention
+Billing only for successful requests, plus $2 in free credits for business-email signups

注意点・トレードオフ

–The breadth of the catalog and the mix of hosted, partner and community models can be overwhelming when choosing a model
–Only a subset of models (currently around 300+) has published pricing on the rate sheet, so some community models require checking the playground for cost
–LLM billing splits input, output and cache-read token dimensions, adding complexity to cost forecasting
–Bare-metal and high-volume reserved capacity are sales-gated rather than self-serve
–Published savings figures are Runware's own comparisons and should be validated against your particular workload

Runware について

One API for every modality

Image, video, audio, LLM and 3D tasks all POST to a single endpoint as an array, so mixed-modality batches can travel in one request with shared auth and billing.

400K+ model catalog

Browse hosted, partner and community models through one addressing scheme, control parameters such as stacked LoRAs and swapped VAEs on open models, and add your own uploads.

Serverless and reserved GPU compute

Bring your own container and weights to serverless GPUs billed by the second that scale to zero when idle, or commit to reserved capacity and bare-metal clusters for a lower per-hour rate.

Sonic Pods and the Sonic Inference Engine

Purpose-built modular data centers plus an orchestration layer that keeps weights preloaded across regions and routes requests to pods that already hold the model in memory.

Developer tooling and agent integrations

A hosted MCP server, CLI, skill files, playground, model schemas and llms.txt let you wire Runware into Claude Code, Cursor, Codex or any MCP-capable client with minimal setup.

Enterprise-grade trust and compliance

SOC 2, ISO 27001 and GDPR compliance, EU and US data residency, SSO/SAML, configurable MFA, a strict no-training-on-customer-data policy and optional Zero Data Retention.

Runware is an AI inference platform that exposes an enormous model catalog — images, video, audio, LLMs and 3D — through a single API endpoint, alongside serverless GPU compute and reserved capacity running on modular data centers the company designs and operates itself. It is aimed at developers and product teams who want to ship generative features without managing infrastructure.

Runware の効果的なユースケース

Product engineer

Ship generative features without infrastructure

Call one consistent API for image, video, audio and language tasks so your team avoids maintaining separate vendor integrations and multiple billing relationships.

AI startup founder

Control inference cost at scale

Use pay-per-use model APIs for experimentation, then move predictable workloads to reserved GPU capacity to cut per-hour compute costs as traffic grows.

Fine-tuning and custom model owner

Deploy your own weights

Upload private model weights or bring a container and run them on serverless GPUs, keeping the artifacts private and billed only for the seconds used.

Platform or MLOps lead

Consolidate vendor sprawl

Standardize on one endpoint, one key and one invoice across modalities, while gaining SOC 2, ISO 27001 and data-residency controls for compliance review.

Agent developer

Give agents image and media tooling

Connect the hosted MCP server so coding agents and assistants can generate and edit images, video and audio directly through tool calls.

Runware の代替ツール・競合トップ 10 件

同じ主要カテゴリの競合 AI ツールをテレメトリで並列比較

Runware の代替ツールをすべて見る →AI API のツールをすべて見る →

順位	AI ツール	月間訪問数	前月比成長率	直接流入の割合	料金	直接比較
●	Runware	40.29万	+27.1%	直接流入 47%	有料	表示中
1	fal.ai 超高速な生成AIメディア推論向けの開発者ファーストなクラウドという点は似ているが、価格設定のティアが異なる。	309.37万	-3.7%	直接流入 60%	Paid, pay-as-you-go usage-based pricing	vs fal.ai
2	Replicate AI 同等レベルのサーバーレスモデルのデプロイやファインチューニングを提供するが、汎用的なMLエコシステムがより幅広い。	90.4万	-8.4%	直接流入 64%	有料	vs Replicate AI
3	Novita AI 画像生成やStable DiffusionのAPIに強く特化しているが、サーバーレスGPUの価格設定がやや異なる。	27.14万	-10.4%	直接流入 62%	有料	vs Novita AI
4	Atlas Cloud 生成メディアモデルへの一元的なアクセスを提供するが、Runwareのような生推論速度への特化はない。	77.7万	-16.4%	直接流入 54%	有料	vs Atlas Cloud
5	DeepInfra 低コストのオープンウェイトモデルの推論に優れているが、複雑な画像生成パイプライン向けの特化ツールは少ない。	45.78万	-8.9%	直接流入 52%	有料	vs DeepInfra
6	Together AI オープンソースLLMのホスティングや専用クラスターに強みがあるが、即座の画像生成にはあまり最適化されていない。	164.59万	+64.9%	直接流入 54%	フリーミアム、有料	vs Together AI