# GPT Image 2 API（APIMart） vs Runware

GPT Image 2 API（APIMart）每月有 383,148 次造訪，月增率 +6.3%，定價模式為付費、需聯絡報價。Runware 每月有 402,862 次造訪，成長率 +27.1%，定價模式為付費。

| 指標 | [GPT Image 2 API（APIMart）](https://openaitools.app/tw/tool/gpt-image-2api) | [Runware](https://openaitools.app/tw/tool/runware) |
| :--- | :--- | :--- |
| 網站網址 | https://apimart.ai/model/gpt-image-2 | https://runware.ai |
| 分類 | AI 圖像生成器, AI API, AI 寫實圖像生成器, Text to Image | AI API, AI 圖像生成器, Text to Image, AI 模型 |
| 定價模式 | 付費、需聯絡報價 | 付費 |
| 每月造訪次數 | 383,148 | 402,862 |
| 月成長率 | +6.3% | +27.1% |
| 主要市場 | 西班牙 | 美國 |
| 直接造訪 | 232,562 | 189,796 |
| 評論分數 | 2.2 | 4.5 |
| 收藏數 | 0 | 0 |
| 支援平台 | 網站 | 網站 |

## GPT Image 2 API（APIMart）

這個 APIMart 頁面記錄了 OpenAI GPT Image 2 圖像模型的託管 API 路徑。APIMart 把自己定位為低成本閘道：開發者建立金鑰、寫入環境變數並向 REST 介面發送請求，帳單透過 APIMart 帳戶的點數結算，而無須直接與 OpenAI 簽約。

由於圖像生成需要時間，工作流程刻意設計為非同步。你向 /v1/images/generations 發送 POST 請求，帶上模型 ID、提示詞、畫幅比例與解析度等級；回應回傳任務 ID，再輪詢 /v1/tasks/{task_id} 直到狀態為 completed，然後從結果中讀取圖像 URL。失敗任務會在錯誤訊息中回傳原因。文件同時提供文生圖與圖生圖的可直接執行 cURL 與 Python 範例。

價格按 token 計費並給出單張圖像估算。文字、快取文字、圖像與快取圖像輸入各自有每百萬 token 的點數費率，圖像輸出的費率最高。頁面把會員折扣價與高得多的官方管道價並列對比，這正是 APIMart 主打的賣點。頁面還列出更廣泛的 GPT Image 2 家族，包括 Flare 與 Sunburst 變體，方便在延遲與細節之間做取捨。

**價格與方案:** 按量付費的點數制，token 計費並依解析度等級給出單張估算價；頁面宣稱會員價相較官方管道價有明顯折扣，企業方案可聯繫取得報價。

- **文生圖與圖生圖:** 用文字提示詞生成圖像，或傳入參考圖切換到多圖參考的編輯模式。
- **解析度與畫幅控制:** 可選 1k、2k 或 4k 輸出，並提供從方形、直式到超寬比的多元畫幅比例。
- **非同步任務流程:** 先 POST 建立任務，再輪詢任務介面取得生成完成的圖像 URL。
- **模型家族選擇:** 文件列出 GPT Image 系列的其他成員——2.5 與 2.6 的 Flare、Sunburst 變體——可在速度與精細度之間取捨。
- **參數與成本控制:** 可使用 auto、low、medium、high 品質等級，具備快取感知的 token 計費，以及透過自有金鑰進行的選用提示詞審核。

**優勢:** 沿用常見 REST 規範，並提供 cURL/Python 範例; 可精細控制解析度、畫幅比例與品質; 按 token 拆分成本，規模化使用時支出可預測; 編輯模式支援較多參考圖數量

[Profile (Markdown)](https://openaitools.app/tw/tool/gpt-image-2api.md)

## Runware

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.

**價格與方案:** 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.

- **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.

**優勢:** 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

**限制:** 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

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

## 常見問題

### GPT Image 2 API（APIMart）與 Runware 的每月流量相比如何？

GPT Image 2 API（APIMart）每月有 383,148 次造訪，而 Runware 有 402,862。流量估算反映受眾規模，並非產品品質。

### 兩者的成長率相比如何？

GPT Image 2 API（APIMart）的月增率為 +6.3%；Runware 為 +27.1%。

### 價格相比如何？

GPT Image 2 API（APIMart）：付費、需聯絡報價。按量付費的點數制，token 計費並依解析度等級給出單張估算價；頁面宣稱會員價相較官方管道價有明顯折扣，企業方案可聯繫取得報價。 Runware：付費。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.

## 替代方案

| # | 工具名稱 | 每月造訪次數 | 月成長率 | 定價模式 | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenAI 平台](https://openaitools.app/tw/tool/openai) | 234,678,639 | -9.6% | 付費 | 用於部署 GPT-6 Astra、Sol、Luna 以及即時多模態代理的企業級開發者平台與 API。 | [.md](https://openaitools.app/tw/tool/openai.md) |
| 2 | [OpenRouter](https://openaitools.app/tw/tool/openrouter-ai) | 19,941,437 | -6.2% | 付費 | 一個 API 金鑰，呼叫各大廠商數百個 AI 模型 | [.md](https://openaitools.app/tw/tool/openrouter-ai.md) |
| 3 | [MiniMax Image-01](https://openaitools.app/tw/tool/minimax-image-01) | 5,253,734 | -13.2% | 需聯絡報價 | MiniMax Image-01 is MiniMax's open-weight image generation model, available through the MiniMax API and MiniMax Design. It turns text prompts into high-resolution visuals and powers image workflows inside MiniMax's broad | [.md](https://openaitools.app/tw/tool/minimax-image-01.md) |
| 4 | [RunningHub](https://openaitools.app/tw/tool/runninghub) | 3,105,554 | -28.5% | 免費增值 | RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs. | [.md](https://openaitools.app/tw/tool/runninghub.md) |
| 5 | [fal.ai](https://openaitools.app/tw/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | 提供類似的開發者優先雲端平台以進行超快速生成式多媒體推理，但定價級別有所不同。 | [.md](https://openaitools.app/tw/tool/fal-ai.md) |
| 6 | [Ideogram](https://openaitools.app/tw/tool/ideogram) | 1,882,585 | -11.3% | 免費增值 | 專注文字排版與可靠編輯的生成式媒體平台 | [.md](https://openaitools.app/tw/tool/ideogram.md) |
| 7 | [Together AI](https://openaitools.app/tw/tool/together-ai) | 1,645,930 | +64.9% | 免費增值、付費 | 更專注於開源 LLM 代管與專用叢集，但較不適合即時圖片生成。 | [.md](https://openaitools.app/tw/tool/together-ai.md) |
| 8 | [Replicate AI](https://openaitools.app/tw/tool/replicate-ai) | 904,038 | -8.4% | 付費 | 提供相近的無伺服器模型部署與微調，但具備更廣泛的通用機器學習生態系統。 | [.md](https://openaitools.app/tw/tool/replicate-ai.md) |
| 9 | [Atlas Cloud](https://openaitools.app/tw/tool/atlas-cloud) | 777,031 | -16.4% | 付費 | 提供生成式媒體模型的統一存取，但缺乏 Runware 對原始推論速度的專門關注。 | [.md](https://openaitools.app/tw/tool/atlas-cloud.md) |
| 10 | [DeepInfra](https://openaitools.app/tw/tool/deep-infra) | 457,810 | -8.9% | 付費 | 擅長低成本的開源權重模型推論，但針對複雜圖片生成管線的專門工具較少。 | [.md](https://openaitools.app/tw/tool/deep-infra.md) |

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來源：https://openaitools.app/tw/compare/gpt-image-2api-vs-runware

More Markdown: [分類](https://openaitools.app/tw/categories.md) · [流量排名](https://openaitools.app/tw/rankings.md) · [llms.txt](https://openaitools.app/tw/llms.txt)