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Best LLM API for OpenClaw, measured

· built-in providers checked against OpenClaw’s documentation on 2026-11-07

As of November 07, 2026, of the 22 LLM APIs built into OpenClaw that we measure, OpenRouter answers fastest: 69 ms median time to first byte, averaged over 4 regions. By region, Fireworks is fastest from Europe (16 ms), US Central (29 ms) and Tokyo (19 ms), OpenRouter from São Paulo (62 ms). 6 of 22 hosts answered every probe over the 90 days since 2026-08-09; the lowest was OpenAI at 99.1%.

OpenClaw is an open-source AI assistant that runs on your own hardware and answers in the chat apps you already use — WhatsApp, Telegram, Slack, Discord and more. Of the LLM providers it has built in, 22 are measured here at the very host OpenClaw calls — directly, without a gateway, from 4 regions every five minutes. Any other OpenAI-compatible API can be added as a custom provider under models.providers with its own base URL.

How fast and reliable is each built-in provider?

Median time to first byte over the last 24 hours from each probe region, the share of host probes answered over the 90 days since 2026-08-09, and outages we could attribute to the provider in the last 30 days — of the host, and of real requests to one model where we hold an API key. Bold marks the provider’s fastest region; an outage count links to its latest day.

Provider in OpenClawEuropeUS CentralTokyoSão PauloHost uptime, 90 dOutages, 30 d
OpenRouter
openrouter · openrouter.ai · source
98 ms59 ms55 ms62 ms100%0
Fireworks
fireworks · api.fireworks.ai · source
16 ms29 ms19 ms254 ms100%0
Google Gemini
google · generativelanguage.googleapis.com · source
90 ms41 ms63 ms137 ms100%119 requests to gemini-flash-lite-latest
Baseten
baseten · inference.baseten.co · source
125 ms47 ms160 ms154 ms99.9%
99.8% from São Paulo
0
Cerebras
cerebras · api.cerebras.ai · source
195 ms74 ms203 ms190 ms99.9%
99.9% from Tokyo
1 host; 1 request to gpt-oss-120b
Anthropic
anthropic · api.anthropic.com · source
197 ms95 ms226 ms194 ms100%0
NovitaAI
novita · api.novita.ai · source
231 ms95 ms147 ms247 ms99.9%
99.9% from Europe
0
xAI
xai · api.x.ai · source
221 ms111 ms165 ms224 ms99.9%
99.9% from Tokyo
0
Groq
groq · api.groq.com · source
213 ms127 ms161 ms233 ms100%0
Together
together · api.together.xyz · source
232 ms128 ms162 ms263 ms100%0
OpenAI
openai · api.openai.com · source
215 ms139 ms208 ms245 ms99.1%
99.1% from Tokyo
0
Mistral
mistral · api.mistral.ai · source
117 ms196 ms322 ms263 ms99.9%
99.9% from Tokyo
0
Moonshot (Kimi)
moonshot · api.moonshot.ai · international endpoint · source
308 ms266 ms129 ms342 ms99.9%
99.9% from Tokyo
0
Z.AI (GLM)
zai · api.z.ai · source
184 ms252 ms93 ms541 ms99.9%
99.8% from Europe
1
Qianfan (Baidu)
qianfan · qianfan.baidubce.com · China endpoint · source
286 ms272 ms138 ms412 ms99.9%
99.9% from São Paulo
0
DeepSeek
deepseek · api.deepseek.com · source
290 ms318 ms182 ms432 ms99.9%
99.9% from São Paulo
0
MiniMax
minimax · api.minimaxi.com · China endpoint · the global api.minimax.io is not measured · source
311 ms343 ms223 ms478 ms99.9%
99.8% from Tokyo
0
DeepInfra
deepinfra · api.deepinfra.com · source
508 ms157 ms446 ms533 ms99.8%
99.8% from Tokyo
0
Qwen Cloud
qwen · dashscope-intl.aliyuncs.com · international endpoint · source
359 ms415 ms167 ms706 ms99.9%
99.9% from Tokyo
0
StepFun
stepfun · api.stepfun.com · China endpoint · the global api.stepfun.ai is not measured · source
429 ms392 ms325 ms672 ms99.7%
99.4% from São Paulo
2
Featherless AI
featherless · api.featherless.ai · source
589 ms284 ms426 ms685 ms99.8%
99.8% from Tokyo
0
Volcano Engine (Doubao)
volcengine · ark.cn-beijing.volces.com · China endpoint · source
350 ms457 ms495 ms705 ms99.3%
98.9% from Tokyo
20

How long until the first token?

Time to first byte is the network floor under every call. The wait for the model’s first token is longer, and we time it only where we hold an API key and send a real request — for these built-in providers, median time to first token over the last 24 hours:

Provider and modelEuropeUS CentralTokyoSão Paulo
Google Gemini
gemini-flash-lite-latest
691 ms1817 ms1895 ms1265 ms
Groq
openai/gpt-oss-120b
352 ms1364 ms1410 ms739 ms

More: time to first token by provider.

Which built-in provider is cheapest for the same model?

Across different models a price comparison means nothing, so this table holds the model fixed: open-weight models that two or more of OpenClaw’s built-in providers serve, with what each charges per million input tokens and which of them answered fastest. Prices are published by the providers and read through OpenRouter’s public catalogue on 2026-11-07; they are not measured by us.

ModelBuilt-in hostsCheapest DearestFastest measured
DeepSeek: DeepSeek V4 Flash 07313DeepInfra $0.060NovitaAI $0.409Baseten 47 ms
DeepSeek: DeepSeek V4 Pro 08135DeepSeek $0.660Together $1.320Baseten 47 ms
DeepSeek: DeepSeek V4.1 Flash6DeepInfra $0.112Together $0.300Fireworks 16 ms
DeepSeek: DeepSeek V4.1 Flash 10177DeepInfra $0.078Baseten $0.300Fireworks 16 ms
Meta: Muse Spark Open3Fireworks $1.250Baseten $1.250Fireworks 16 ms
MiniMax: MiniMax M32DeepInfra $0.224NovitaAI $0.300NovitaAI 95 ms
MiniMax: MiniMax M3.1 Flash3Fireworks $0.150Together $0.150Fireworks 16 ms
MoonshotAI: Kimi K34DeepInfra $2.850Baseten $3.000Fireworks 16 ms
MoonshotAI: Kimi K3.1 Pro3DeepInfra $1.900Together $2.000Fireworks 16 ms
NVIDIA: Nemotron 3.5 Super VL3Together $0.150Baseten $0.200Baseten 47 ms
Qwen: Qwen3.8 27B3DeepInfra $0.150Cerebras $0.990Cerebras 74 ms
Reflection: Beam 1.0 501B A23B2Baseten $0.400Together $0.400Baseten 47 ms
Tencent: Hy4 preview2DeepInfra $0.834NovitaAI $0.834NovitaAI 95 ms
Z.ai: GLM 5.26DeepInfra $0.450Z.AI (GLM) $1.400Baseten 47 ms
Z.ai: GLM 5.37DeepInfra $0.562Z.AI (GLM) $1.400Fireworks 16 ms
Z.ai: GLM 5.3 Flash7NovitaAI $0.084Z.AI (GLM) $0.150Fireworks 16 ms

Is there a free LLM API for OpenClaw?

5 of the built-in providers can be used without paying, within limits (checked 2026-11-07 on their own pages):

  • Google Gemini — free input and output tokens on a limited set of Gemini models; rate-limited; content sent on the free tier is used to improve Google's products; apps for users in the EEA, Switzerland or the UK must use paid services (terms) (terms).
  • OpenRouter — model variants whose ID ends in :free; 20 requests a minute; 50 a day, or 1,000 a day once you have bought at least 10 credits (terms).
  • Groq — a Free plan; a payment method is needed only to move up to the Developer tier; per-model rate limits, published on Groq's rate-limits page (terms).
  • Z.AI (GLM) — GLM-4.7-Flash, GLM-4.5-Flash and GLM-4.6V-Flash: input and output both free; rate limits not published in the docs; the other GLM models are paid (terms).
  • NovitaAI — one model priced at $0 for input and output: Apodex 1.1 Mini; rate limits and how long it stays free are not stated (terms).

One-time credits for new accounts and every other free option we found: free LLM APIs, measured.

Does it matter where the OpenClaw VPS runs?

For some APIs a lot. Qwen Cloud answers in 167 ms from Tokyo and 706 ms from São Paulo, and every model call waits at least that long before the model starts working. The bold figure in each row of the first table is that provider’s fastest region; put the agent there. Which VPS region is closest to the LLM APIs compares all four.

Why are some built-in providers missing?

A figure is shown only when OpenClaw calls exactly the host our probe measures. The same company on another address is another measurement, so these are left out:

  • Cohere: OpenClaw calls api.cohere.ai, our probe measures api.cohere.com (source)
  • Meta: OpenClaw calls api.meta.ai, our probe measures api.llama.com (source)
  • Tencent TokenHub: OpenClaw calls tokenhub.tencentmaas.com, our probe measures api.hunyuan.cloud.tencent.com (source)

How are these figures measured?

Each probe opens a connection to the provider’s API host and times the first byte of the answer, without an API key: a 401 counts as reachable, because the host answered. Probes are rented VPSes — Hetzner in Nuremberg, Vultr in Chicago, Vultr in Tokyo, Vultr in São Paulo. Host uptime is the share of probes that got a valid answer. An outage is a failure seen from two or more regions at once that no other provider shared in the same minutes; a failure from one region alone is not called one. Where we hold an API key we also send a real one-token request to one model, and its failures are counted separately from the host’s. Time to first byte says nothing about tokens per second once the model runs, or about model quality. Full rules: methodology.

Other agents: Hermes Agent · n8n · VPS region for agents · data & licence