模型短名单

适合多模型路由的 OpenAI 兼容 LLM 网关选型

为 OpenAI 兼容 LLM 网关筛选默认模型:一个 base_url、多提供方路由、成本可见、合理兜底。

这份候选名单适合什么用途: OpenAI 兼容网关

OpenAI 兼容 LLM 网关的意思是:SDK 不动,base_url 指向网关,再从网关路由到各提供方。你可以比单位成本、加缓存或预算,故障切换也不用改应用代码。这页给评估这类接入的团队用:先选靠谱的默认模型,定兜底,再估月费。迁移步骤见 /docs/openai-compatible,成本计算见 /tools/ai-api-cost-calculator。如果主要在比多模型市场,用 /best/openrouter-alternatives。

来源依据: NextModel 目录分类、OpenAI 兼容网关定位,以及可用时的提供方公开定价。 · 更新日期 2026-08-05

步骤

如何使用这份名单(OpenAI 兼容网关)

  1. 对照任务选模型。 先看「OpenAI 兼容网关」短名单是否覆盖你的真实任务,不要只比标价。
  2. 用同一批提示词试跑。 挑 2–3 个候选,用业务提示词对比质量与输出长度。
  3. 估算月费。 用价格页或成本计算器,按预计 token 量估算月度花费。
  4. 定兜底与预算。 定主模型、兜底模型,设项目预算后再接生产流量。

匹配分

推荐候选 OpenAI 兼容网关

先从候选名单开始,再用真实提示词测试,并在接入生产路由前比较月度成本。

DeepSeekCatalogHealthytypical

DeepSeek-V4-1-Flash-GLB via NextModel: 1M-token context; $0.3 / 1M tokens in / $1.20 / 1M tokens out per 1M tokens. Capabilities: streaming.

$0.3 / 1M tokensInput$1.20 / 1M tokensOutput1MContext
Best forChinese Q&A, general chat
Streaming
Platform curatedCurated and maintained in the NextModel catalog
View details
OpenAICatalog

Whisper Large V3 Turbo via NextModel: context unpublished; $0 / 1M tokens in / $0 / 1M tokens out per 1M tokens. Capabilities: streaming.

$0 / 1M tokensInput—Output—Context
Best forGeneral chat via OpenAI, API workloads
Streaming
Platform curatedCurated and maintained in the NextModel catalog
View details
GoogleCatalogHealthytypical

‌Gemini 4 Argon via NextModel: 1M-token context; $2 / 1M tokens in / $10 / 1M tokens out per 1M tokens. Capabilities: streaming, tool, json.

$2 / 1M tokensInput$10 / 1M tokensOutput1MContext
Best forimage understanding, multimodal chat
StreamingTool callingJSON modeVisionLong context
Platform curatedCurated and maintained in the NextModel catalog
View details
AnthropicCatalogHealthyfast

Claude Haiku 5.5 via NextModel: 1M-token context; Starting at $0.1 / 1M tokens in / $0.5 / 1M tokens out per 1M tokens. Capabilities: streaming, tool, json.

Starting at $0.1 / 1M tokensInput$0.5 / 1M tokensOutput1MContext
Best forimage understanding, multimodal chat
StreamingTool callingJSON modeVisionLong context
Platform curatedCurated and maintained in the NextModel catalog
View details

比较表

按价格、提供方、上下文、能力和来源比较这份候选名单。

缩小生产候选、建立兜底策略或比较模型经济性时用。

ModelProviderInputOutputContextCapabilitiesBest forLatencyStatusSource
DeepSeek-V4-1-Flash-GLBdeepseek/deepseek-v4-1-flash-glbDeepSeek$0.3 / 1M tokens$1.20 / 1M tokens1M
Streaming
Chinese Q&A, general chat1557-3097msCatalogPlatform curated
Whisper Large V3 Turboopenai/whisper-large-v3-turboOpenAI$0 / 1M tokens$0 / 1M tokens—
Streaming
General chat via OpenAI, API workloads0-0msCatalogPlatform curated
‌Gemini 4 Argongoogle/gemini-4-argonGoogle$2 / 1M tokens$10 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat2974-10589msCatalogPlatform curated
Claude Haiku 5.5anthropic/claude-haiku-5.5AnthropicStarting at $0.1 / 1M tokens$0.5 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1321-2017msCatalogPlatform curated
Doubao Seedance 2.5doubao/doubao-seedance-2-5-260628Doubao$0.225 / s——
StreamingVision
image understanding, multimodal chat0-0msCatalogPlatform curated
Dreamina-Seedance 2.0 Fastdreamina/dreamina-seedance-2-0-fast-260128Dreamina$0.122 / s——
StreamingVision
image understanding, multimodal chat0-0msCatalogPlatform curated
Dreamina Seedance 2.5dreamina/dreamina-seedance-2-5-260628Dreamina$0.234 / s——
StreamingVision
image understanding, multimodal chat0-0msCatalogPlatform curated
Gemini 3 Pro Image (Nano Banana Pro) gemini/gemini-3-pro-imageGemini$0.314 / image——
StreamingVision
image understanding, multimodal chat0-0msCatalogPlatform curated

常见问题

OpenAI 兼容网关 常见问题

什么是 OpenAI 兼容 LLM 网关?

托管 API,接受 OpenAI 请求形态(chat completions、models、keys),在单一 base URL 后转发到一个或多个提供方。

为什么不直接调用各提供方,而要用网关?

一个集成面、更好做兜底,用量、预算和凭证集中管理,流量变大之前有地方收口。

如何把现有 OpenAI 应用切到网关?

多数情况改 base_url 和 API key。再用你真正要用的模型 ID 验证 streaming、tools、JSON mode 和 vision。

多模型网关上如何控制成本?

简单活给便宜模型,难活给更强模型;安全时再缓存;设项目预算。扩容前先估月费。