One OpenAI-compatible API for every LLM route.
BestLLM is a multi-tenant LLM API gateway that gives you OpenAI-compatible access to DeepSeek, Qwen, Kimi, GLM, and MiniMax through a single endpoint. Switch models by changing the model field — no SDK changes, no new dependencies, no provider accounts to manage. Ship with predictable per-token pricing, region-aware routing across US and EU, workspace-level spend controls, and an immutable billing ledger that finance can reconcile.
One endpoint, every approved model route.
Give developers a familiar OpenAI-compatible API while your team controls which models are approved, which regions serve traffic, how fallbacks behave, and when providers can be rotated. Point your existing OpenAI SDK at one base URL and access DeepSeek Chat, Qwen3.8 Max, Kimi K3, GLM-5, MiniMax M3, and every model we add next — without rewriting a single line of application code.
Spend you can explain to finance.
Every request carries a transparent per-token charge. Reservations, captures, and releases keep real-time cost accurate even during streaming. Price snapshots record exactly what each request cost at dispatch time. Append-only ledger entries mean your invoices reconcile to the token — no black-box markup, no surprise overages.
Built for teams that ship to production.
Organizations, workspaces, role-based access, audit trails, and short-lived private dispatch assertions are part of the gateway — not an afterthought. Regional policy ensures requests stay within approved boundaries. Every model route requires explicit approval before it can serve production traffic, and every kill switch is immediate.
Switch models by changing one field.
Your integration uses the OpenAI SDK format. To switch from DeepSeek Chat to Qwen3.8 Max, change the model parameter. That is the entire migration. No new libraries, no provider accounts, no separate billing relationships. Every model behind the BestLLM gateway speaks the same API surface — chat completions, streaming, function calling — with consistent error codes and response shapes.
# Works with the official OpenAI SDK — just change the base URL
from openai import OpenAI
client = OpenAI(
base_url="https://api.bestllm.dev/v1",
api_key="your-bestllm-key"
)
# DeepSeek Chat — frontier reasoning at $0.30/M input
response = client.chat.completions.create(
model="deepseek-chat",
messages=[{"role": "user", "content": "Explain quantum computing"}]
)
# Switch to Qwen3.8 Max — 2.4T-param MoE, 1M context — same code
response = client.chat.completions.create(
model="qwen3-8-max",
messages=[{"role": "user", "content": "Analyze this 500-page document"}]
)
# Switch to Kimi K3 — frontier reasoning, 1M context — same code
response = client.chat.completions.create(
model="kimi-k3",
messages=[{"role": "user", "content": "Review this codebase for vulnerabilities"}]
)Available LLM models through one API
One API key. Every supported model. OpenAI-compatible format. BestLLM routes production traffic to approved models with regional compliance, workspace isolation, and per-token billing. Browse individual model pages for full pricing breakdowns, context window specs, benchmark data, and integration examples.
DeepSeek Chat
Frontier reasoning at a fraction of the cost.
DeepSeekDeepSeek Reasoner
Extended chain-of-thought for complex problems.
Alibaba CloudQwen3.8 Max
Alibaba's 2.4T-parameter flagship, now with 1M context.
Alibaba CloudQwen Plus
Balanced performance and cost for production workloads.
Moonshot AIKimi K3
Open frontier reasoning with a 1M-token context.
Zhipu AI (Z.ai)GLM-5
Zhipu's current flagship for coding and agents.
MiniMaxMiniMax M3
Ultra-cheap 1M-context model built for agents.
BestLLM vs calling DeepSeek, Qwen, or OpenRouter directly.
Calling provider APIs directly works until you need more than one model, more than one region, or more than one team on the same bill. BestLLM sits in front of every provider and gives you a single OpenAI-compatible surface, unified billing across all models, workspace-level spend controls, and the ability to approve or block model routes per team. If you are already using OpenRouter, BestLLM adds regional policy enforcement, provider-level fallback rules, and an immutable ledger that maps every request to a line-item charge — not a monthly aggregate.
Transparent per-token pricing. No markup mystery.
BestLLM operates on a cost pass-through model for every supported route. You see exactly what each model costs per million input and output tokens — the same figures the ledger bills. DeepSeek Chat from $0.30/M input, Qwen Plus from $0.30/M, MiniMax M3 from $0.31/M, GLM-5 from $0.60/M. No hidden fees, no per-request surcharges, no minimum commitments. Pick a plan, get an API key, pay for what you use. See the pricing page for the full model-by-model breakdown.
Regional routing for US and EU compliance.
Every model route through BestLLM carries explicit regional policy. Requests are dispatched to approved regions only — no cross-region fallback unless your workspace policy allows it. This matters for teams handling EU data residency requirements, US export controls, or internal compliance frameworks that require knowing where inference happens. Regional policy is configured at the workspace level and enforced before a request leaves your boundary.
Frequently asked questions
What does OpenAI-compatible mean?
BestLLM implements the same request and response format as the OpenAI Chat Completions API. You can use the official OpenAI SDK (Python, Node.js, TypeScript) with only the base URL and API key changed. Streaming, function calling, tool use, and response formats all follow the OpenAI convention. If your code already calls OpenAI, switching to BestLLM means changing two lines: the base URL and the key.
Which models are available today?
Seven models are live and routable through BestLLM: DeepSeek Chat, DeepSeek Reasoner, Qwen3.8 Max, Qwen Plus, Kimi K3, GLM-5, and MiniMax M3. Each model has its own pricing page with full specs, context window details, and API examples. We add new models as they reach production stability — check the models page for the current list.
How does pricing work?
BestLLM uses transparent per-token pricing on a cost pass-through basis. You pay per million input and output tokens at the rates listed on each model page. There are no hidden markups, per-request fees, or minimum commitments. Choose a plan (Starter, Team, or Enterprise) based on the workspace features you need — the model pricing is the same across all plans. See the pricing page for plan details and the full model-by-model cost table.
Can I use my existing OpenAI SDK code?
Yes. BestLLM speaks the OpenAI API format. In the official OpenAI Python or Node.js SDK, set the base URL to https://api.bestllm.dev/v1 and use your BestLLM API key. Everything else — message format, streaming, function calling, error codes — works the same way. No new libraries, no adapter layer, no code rewrite beyond the two configuration values.
What is the difference between BestLLM and OpenRouter?
Both provide multi-model API access through a single endpoint. BestLLM focuses on the Chinese and Asian model ecosystem (DeepSeek, Qwen, Kimi, GLM, MiniMax) with US and EU regional routing, workspace-level spend controls, RBAC, and an immutable billing ledger. OpenRouter covers a broader global model catalog. If your workload is primarily DeepSeek, Qwen, Kimi, or GLM and you need compliance-aware routing and team-level budget controls, BestLLM is purpose-built for that use case.
How do I get started?
Sign up, create a workspace, generate an API key from the Console, and make your first call to https://api.bestllm.dev/v1/chat/completions. The quickstart guide walks through the full setup including SDK configuration, model selection, and streaming. Most integrations are live within five minutes.
