# Replicate AI vs Rerun

Replicate AI は月間 904,038 訪問、前月比成長率 -8.4%、料金体系有料を記録しています。Rerun は月間 54,018 訪問、成長率 -23.7%、料金体系無料を記録しています。

| 指標 | [Replicate AI](https://openaitools.app/ja/tool/replicate-ai) | [Rerun](https://openaitools.app/ja/tool/rerun) |
| :--- | :--- | :--- |
| ウェブサイト URL | https://replicate.com | https://rerun.io |
| カテゴリ | AI API, AIモデル, AI開発者ツール, オープンソース AI モデル | AI開発者ツール, ログ管理, データ分析のためのAI, AI モニタリング |
| 料金モデル | 有料 | 無料 |
| 月間訪問数 | 904,038 | 54,018 |
| 前月比成長率 | -8.4% | -23.7% |
| 主要市場 | アメリカ合衆国 | アメリカ合衆国 |
| ダイレクト訪問 | 577,501 | 24,880 |
| レビュースコア | 4.6 | 4.6 |
| 保存数 | 5 | 1 |
| 対応プラットフォーム | ウェブサイト | ウェブサイト |

## Replicate AI

Replicate is a cloud API for running, fine-tuning, and deploying machine learning models. Spin up open-source and hosted models — from image, video, and audio generation to speech synthesis, captioning, and LLM inference — with one line of code, or package your own model with Cog and put it behind a production-ready API.

**料金とプラン:** Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available.

- **Thousands of models behind one API:** Run image, video, audio, speech, and language models through a uniform API surface, with official models for FLUX, Nano Banana, Seedream, Grok Imagine, MiniMax, Wan, Seedance, and more.
- **One-line-of-code inference:** Set up a model in minutes and make an API call in Python, Node, or plain HTTP after authenticating with an API token.
- **Cog packaging and custom deployments:** Package your own model with Cog, an open-source tool for packaging machine learning models, and deploy it on dedicated hardware that scales up and down with demand.
- **Model fine-tuning:** Fine-tune models on your own data, including fast-booting fine-tunes that are billed only while actively processing requests rather than for idle time.
- **Published hardware and inference rates:** Transparent per-second hardware rates across CPU, T4, L40S, A100, H100, and H200 configurations, with committed-spend options for multi-GPU capacity.

**強み:** Very broad model catalog spanning image, video, audio, speech, and LLMs behind one consistent API; Usage-based billing with openly published per-second hardware and per-output model rates; Cog makes it straightforward to package and deploy your own private models; Automatic scaling handles traffic spikes without manual capacity planning

**制約・デメリット:** Costs are consumption-based and can rise quickly with heavy traffic or always-on private deployments; Private models bill for idle and setup time, not just request processing, unless they are fast-booting fine-tunes; Long-running GPU models can queue on shared public capacity during peak periods; It is an infrastructure layer, so you still need your own prompts, pipelines, and application code

[Profile (Markdown)](https://openaitools.app/ja/tool/replicate-ai.md)

## Rerun

Rerun is an open-source SDK and visualizer for multimodal, multi-rate data, positioned as the data layer for physical AI. Using Python, Rust, or C++ APIs, developers can log robotics, computer vision, and sensor data and review it in a viewer that handles time series and 3D together.

**料金とプラン:** The Rerun SDK and viewer are open source and free to use. Rerun also offers Rerun Hub, a production backend, whose pricing is arranged separately with the team. Check the Rerun website and GitHub repository for current terms.

- **Multimodal data visualization:** Log, store, and view images, point clouds, 3D transforms, and time series together in one viewer.
- **Open-source logging SDK:** Record multi-rate, multimodal data as column-chunks in rrd files, or convert from other formats.
- **Query and transform:** Run full dataframe or SQL queries over robotics data, down into columns, time ranges, and values.
- **Edge and stream transforms:** Add derived columns and evolve schemas without breaking history, on the edge or near the data.
- **Rerun Hub backend:** A hosted backend with catalog, byte-range indexing, and retrieval that turns object stores into a queryable dataset.

**強み:** Open-source core with permissive use across research and production; Handles multimodal and multi-rate data in one viewer; APIs for Python, Rust, and C++; Query and transform data without an export step

**制約・デメリット:** Requires coding in Rust, Python, or C++ to get full value; The hosted Rerun Hub backend is a newer, additional product beyond the free SDK; Visualization work is aimed at engineering teams, not general business users; Advanced production features assume existing logging pipelines

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

## よくある質問

### Replicate AI と Rerun の月間トラフィックはどのように比較されますか？

Replicate AI の月間訪問数は 904,038、Rerun は 54,018 です。トラフィックの推定値はオーディエンスの規模を示すものであり、製品の品質を示すものではありません。

### 成長率はどのように比較されますか？

Replicate AI の前月比成長率は -8.4%、Rerun は -23.7% です。

### 料金はどのように比較されますか？

Replicate AI: 有料。Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available. Rerun: 無料。The Rerun SDK and viewer are open source and free to use. Rerun also offers Rerun Hub, a production backend, whose pricing is arranged separately with the team. Check the Rerun website and GitHub repository for current terms.

## 代替ツール

| # | ツール名 | 月間訪問数 | 前月比成長率 | 料金モデル | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/ja/tool/openrouter-ai) | 19,941,437 | -6.2% | 有料 | 多様なプロバイダー間でのテキストやマルチモーダルプロンプトのルーティングに優れていますが、Replicateのような専用のカスタムMLデプロイ機能はありません。 | [.md](https://openaitools.app/ja/tool/openrouter-ai.md) |
| 2 | [Datadog](https://openaitools.app/ja/tool/datadog) | 5,175,760 | -4.8% | フリーミアム、無料トライアル、有料、料金は要問い合わせ、無料 | クラウド規模のエンジニアリングチーム向け統合オブザーバビリティ・セキュリティ・インシデント対応基盤 | [.md](https://openaitools.app/ja/tool/datadog.md) |
| 3 | [fal.ai](https://openaitools.app/ja/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | 画像や動画モデルのサーバーレス実行が高速ですが、Replicateよりも汎用的なカスタムモデルのデプロイは少なくなります。 | [.md](https://openaitools.app/ja/tool/fal-ai.md) |
| 4 | [Together AI](https://openaitools.app/ja/tool/together-ai) | 1,645,930 | +64.9% | フリーミアム、有料 | LLMの推論とファインチューニングに強みを持っていますが、Replicateのようなコミュニティキュレーションによる多様なメディアモデルカタログはありません。 | [.md](https://openaitools.app/ja/tool/together-ai.md) |
| 5 | [Unsloth AI](https://openaitools.app/ja/tool/unsloth-ai) | 887,457 | -17.6% | 無料 | Specializes specifically in ultra-efficient model fine-tuning, rather than providing a general-purpose model hosting API. | [.md](https://openaitools.app/ja/tool/unsloth-ai.md) |
| 6 | [Atlas Cloud](https://openaitools.app/ja/tool/atlas-cloud) | 777,031 | -16.4% | 有料 | Offers a broad mix of generative media models via API, but lacks Replicate's massive community deployment ecosystem. | [.md](https://openaitools.app/ja/tool/atlas-cloud.md) |
| 7 | [Fireworks](https://openaitools.app/ja/tool/fireworks-ai) | 659,687 | +6% | 料金は要問い合わせ | オープンモデル向けに抜群に高速な推論速度を実現しますが、Replicateよりもモデルの選択肢は狭いです。 | [.md](https://openaitools.app/ja/tool/fireworks-ai.md) |
| 8 | [DeepInfra](https://openaitools.app/ja/tool/deep-infra) | 457,810 | -8.9% | 有料 | オープンウェイトモデルの実行価格が大幅に安い一方、高度なカスタムトレーニングやデプロイ機能は少なくなっています。 | [.md](https://openaitools.app/ja/tool/deep-infra.md) |
| 9 | [Pollinations](https://openaitools.app/ja/tool/pollinations) | 316,875 | +22.8% | 無料 | 生成AI開発者向けのオープンインフラと単一API | [.md](https://openaitools.app/ja/tool/pollinations.md) |
| 10 | [Weights & Biases（CoreWeave Forge）](https://openaitools.app/ja/tool/prompts) | 315,624 | -80.2% | フリーミアム、料金は要問い合わせ、無料 | 一つの接続環境で AI モデルとエージェントを追跡・評価・出荷。 | [.md](https://openaitools.app/ja/tool/prompts.md) |

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出典: https://openaitools.app/ja/compare/replicate-ai-vs-rerun

More Markdown: [カテゴリ](https://openaitools.app/ja/categories.md) · [トラフィックランキング](https://openaitools.app/ja/rankings.md) · [llms.txt](https://openaitools.app/ja/llms.txt)