anomalyco / anomalyco/models.dev
Request: Add Volcengine Ark (火山方舟) as a provider for DeepSeek V4 Flash and other models
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Description
Request: Add Volcengine Ark (火山方舟 / 火山引擎) as a provider
Provider name: Volcengine Ark (火山方舟)
Description:
Volcengine Ark (Volcano Engine / 火山方舟) is ByteDance's AI model inference platform. It offers both pay-as-you-go and subscription-based (Coding Plan, Agent Plan) pricing for various models including DeepSeek V4 Flash, DeepSeek V4 Pro, Qwen series, Kimi K2.5, and ByteDance's own Doubao models.
API details:
- OpenAI-compatible endpoint (standard): \https://ark.cn-beijing.volces.com/api/v3\
- OpenAI-compatible endpoint (Coding Plan): \https://ark.cn-beijing.volces.com/api/coding/v3\
- Anthropic-compatible endpoint (Coding Plan): \https://ark.cn-beijing.volces.com/api/coding\
- Docs: https://docs.volcengine.com/docs/82379
- Pricing: https://www.volcengine.com/docs/82379/1099320
Reason:
Volcengine Ark is a major inference platform in China with significant market share, hosting both third-party models (DeepSeek, Kimi, Qwen, GLM) and first-party Doubao models. It offers competitive subscription-based pricing (Coding Plan at ¥40-200/month, Agent Plan) that provides significant discounts vs pay-as-you-go. Currently models.dev only lists Alibaba (China) and SiliconFlow (China) as Chinese providers.
Suggested provider ID: \olcengine-ark\ or \olcengine\
Sample models:
- \deepseek-v4-flash\ (DeepSeek V4 Flash)
- \deepseek-v4-pro\ (DeepSeek V4 Pro)
- \kimi-k2.5\ (Moonshot Kimi K2.5)
- \doubao-pro\ (Doubao Pro / 豆包)
- \doubao-vision-pro\ (Doubao Vision Pro)
- Various Qwen, GLM models
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start in the models.dev repository by comparing the existing Alibaba and SiliconFlow provider entries, then trace how provider models are represented. Add Volcengine Ark with the documented endpoints and requested sample models, and confirm the provider and model metadata is complete and consistent with those existing entries.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- ai, data
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 55/100