Скачать или смотреть Run OpenClaw Without Breaking the Bank: Best Value LLM in 2026 (Grok vs Claude vs Others)

OpenClaw (formerly ClawdBot/Moltbot) lets you pick ANY LLM for your autonomous AI agent—Anthropic Claude, Google Gemini, xAI Grok, AWS Nova, Moonshot Kimi, OpenAI GPT-OSS, and more via OpenRouter or direct APIs. But which one gives the BEST VALUE in 2026 without insane token bills eating your wallet during heavy agent loops, tool-calling, and long contexts?
In this video, I break down:

All major LLM options supported by OpenClaw
Real pricing (input/output per million tokens) for 2026 models like Claude Opus 4.5/Sonnet 4.5/Haiku, Gemini 3 Pro/Flash, Grok 4.1 Fast, Nova Pro/Lite, Kimi K2.5, GPT-OSS (120B/20B)
Performance trade-offs for agentic tasks: reasoning, reliability, speed, hallucinations
Why Grok 4.1 Fast often comes out as the cheapest yet highly capable winner (~$0.20/M input, $0.50/M output, huge 2M context)
Quick tips to switch models in config, monitor spend, fallback to local Ollama for $0 API cost

Whether you're self-hosting on a Mac Mini/VPS or routing through OpenRouter, this helps you avoid surprise $100+ bills while keeping your claw productive. Which LLM are you running right now? Drop it in the comments!

#openclaw #clawdbot #moltbot #AIagents #CheapestLLM #Grok #Claude #Gemini #LLMcomparison #AIAutomation #2026

On vector memory search: It's enabled by default, but you need to configure it. Here's the setup:

1. Configure local embeddings (free, no API costs):

Add to your openclaw.json under agents.defaults:

"memorySearch": {
"provider": "local"
}
2. Download the model & build index:

openclaw memory index
This downloads EmbeddingGemma-300M (~300MB) automatically and indexes your memory files. Check status with openclaw memory status.

3. Set up auto-reindexing (optional but recommended):

openclaw cron add \
--name "memory-reindex" \
--cron "0 */6 * * *" \
--tz "Your/Timezone" \
--session isolated \
--message "exec: openclaw memory index" \
--best-effort-deliver
This reindexes every 6 hours to keep search fresh.


But if you want to make it even better, search for QMD backend (experimental) under Memory section of the OpenClaw documentation site.

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