为项目、环境或工作负载签发密钥，建立可追踪的用量边界。
NextModel · AI Gateway · 42 个模型来源
所有模型。
一个 API。
通过一个 OpenAI 兼容网关控制 AI API 成本。跨国内外模型提供方比较价格、延迟、能力与来源透明度。
›prompt: "Pick a production model for this request."
anclaude-sonnet-4-51.2s
cost: $0.00321
opgpt-4o-mini0.6s
cost: $0.00012
gogemini-2-5-flash0.5s
cost: $0.00008
dedeepseek-v30.9s
cost: $0.00037
每秒请求数42,891
最低输入价格$0.112
模型来源42 / 持续增加
网关状态正常
supported model sources · not official partnerships
anAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshotanAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshot
why nextmodel
Less provider glue.
More control over spend.
Pull model selection, budget rules, source comparison, and usage reporting out of application code. Keep the API familiar while the cost governance layer becomes visible.
01 · one sdk
OpenAI SDK, many model sources.
Already using OpenAI? Change base_url, keep chat completions, streaming, tools, and JSON-oriented workflows.
pythonnodecurl
client = OpenAI(
base_url="https://api.nextmodel.app/v1",
api_key=os.environ["NM_KEY"],
)
client.chat.completions.create(
model="claude-sonnet-4-5",
messages=[...],
)02 · routing
Policies before production traffic.
Route by workload, source, budget, latency, or capability instead of scattering rules across services.
03 · billing
Spend by key, project, and team.
See which application paths drive token cost and turn model selection into an operational decision.
api.web$353 · 42%agent.eval$235 · 28%rag.ingest$151 · 18%dev$101 · 12%
04 · price
Compare the gap before calling.
05 · governance
Budget-aware model operations.
Bring your own keys, assign project limits, and keep a clear audit trail for model API spend.
42 models
tracked dimensionsproject · key · source
policy layerbudgets · providers
SDK modeOpenAI-compatible
06 · regions
Domestic + global,
one endpoint.
Compare Chinese and global model sources from one interface without implying official provider partnership.
live model graph
42 models,
one network.
One endpoint for model comparison. Inspect price, latency estimates, provider source, and workload fit before routing production traffic.
快速开始
三步把现有 SDK 接到多模型成本治理。
把 OpenAI SDK 的 base URL 改为 https://api.nextmodel.app/v1。
从模型目录选择模型 ID，并比较成本和输出质量。
模型入口
先从工作负载选模型，再比较成本。
面向 SEO 和开发者决策的入口页，会按常见场景聚合模型候选。
Coding
Compare model candidates for coding workloads.
Chinese
Compare model candidates for chinese workloads.
Low cost
Compare model candidates for low cost workloads.
Vision
Compare model candidates for vision workloads.
Long context
Compare model candidates for long context workloads.
Agent
Compare model candidates for agent workloads.
成本治理
在花费放大之前，先规划用量、预算、BYOK、团队和报表。
NextModel 的公开页聚焦模型决策支持和开发团队的成本治理工作流。
看清哪些应用与环境正在驱动模型花费。
在产品流量放大请求量之前先设定预算预期。
治理工作流
- 通过一个 OpenAI 兼容接口路由不同工作负载。
- 按价格和能力比较国内外提供方。
- 用 BYOK 接入团队已有的提供方账号。
- 根据用量和模型价格生成月度报表。
精选模型
先从这几个模型候选开始比较。
VolcengineProduction
Doubao Seed 2.0 Mini is the lowest-cost production model currently exposed through the NextModel public gateway. It is a practical default for Chinese Q&A, classification, summarization, and lightweight multimodal tasks.
Best forChinese Q&A, low-cost general chat, multimodal understanding
Routingconfigured
Tool callingVisionJSON modeLong context
Platform curatedNextModel production gateway and Volcengine pricing config
AnthropicCatalog
Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
Best forcoding agents, code review, complex writing
Routingconfigured
Tool callingJSON modeLong contextReasoning
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
OpenRouterCatalog
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
Best forlow-cost chat, image understanding, classification
Routingconfigured
Tool callingVisionJSON modeLong context
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
文档 CTA
直接复制 Python、Node 或 curl 的可运行请求。
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.nextmodel.app/v1"
)
resp = client.chat.completions.create(
model="doubao-seed-2-0-mini",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)Node
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.NEXTMODEL_API_KEY,
baseURL: "https://api.nextmodel.app/v1",
});
const response = await client.chat.completions.create({
model: "doubao-seed-2-0-mini",
messages: [{ role: "user", content: "Hello from NextModel" }],
});
console.log(response.choices[0].message.content);curl
curl https://api.nextmodel.app/v1/chat/completions \
-H "Authorization: Bearer $NEXTMODEL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "doubao-seed-2-0-mini",
"messages": [{"role": "user", "content": "Hello from NextModel"}]
}'新基准
全新：CacheSafety Bench
在生产启用缓存前，先衡量 LLM 响应复用是否安全，并估算 API 节省。
CacheSafety Bench 可以帮助团队比较 Safe Hit Rate、Bad Hit Rate、语义陷阱失败率，以及启用缓存前的成本节省空间。
查看基准页