{"id":44,"date":"2026-04-29T09:47:03","date_gmt":"2026-04-29T01:47:03","guid":{"rendered":"https:\/\/www.imaseo.com\/blog\/?p=44"},"modified":"2026-04-29T09:47:03","modified_gmt":"2026-04-29T01:47:03","slug":"openclaw-multimodel-switch-guide","status":"publish","type":"post","link":"https:\/\/www.imaseo.com\/blog\/ai-tools\/openclaw-multimodel-switch-guide","title":{"rendered":"OpenClaw\u591a\u6a21\u578b\u5207\u6362\u653b\u7565\uff1aClaude\/GPT\/\u672c\u5730Ollama\u914d\u7f6e\u4e0e\u6027\u80fd\u5bf9\u6bd4"},"content":{"rendered":"<h1>OpenClaw\u591a\u6a21\u578b\u5207\u6362\u653b\u7565\uff1aClaude\/GPT\/\u672c\u5730Ollama\u914d\u7f6e\u4e0e\u6027\u80fd\u5bf9\u6bd4<\/h1>\n<p>\u5728\u5927\u6a21\u578b\u65e5\u76ca\u666e\u53ca\u7684\u65f6\u4ee3\uff0c\u5982\u4f55\u7075\u6d3b\u3001\u6210\u672c\u5408\u7406\u5730\u5207\u6362\u4e0d\u540cAI\u6a21\u578b\uff0c\u6210\u4e3a\u5f00\u53d1\u8005\u548c\u4f01\u4e1a\u7684\u5173\u6ce8\u7126\u70b9\u3002OpenClaw\u4f5c\u4e3a\u4e00\u6b3e\u652f\u6301\u591a\u6a21\u578b\u7075\u6d3b\u914d\u7f6e\u4e0e\u5207\u6362\u7684AI\u6267\u884c\u5f15\u64ce\uff0c\u5b8c\u7f8e\u89e3\u51b3\u4e86\u201c\u591a\u6a21\u578b\u6574\u5408\u201d\u96be\u9898\u3002\u672c\u6587\u5c06\u56f4\u7ed5OpenClaw\u591a\u6a21\u578b\u5207\u6362\u7684\u914d\u7f6e\u65b9\u6cd5\u3001\u4e3b\u6d41\u4e91\u7aef\u53ca\u672c\u5730\u6a21\u578b\u7684\u7279\u70b9\uff0c\u7ed3\u5408Claude\u3001GPT\u53ca\u672c\u5730Ollama\u4e09\u5927\u7c7b\u6a21\u578b\u505a\u6df1\u5165\u5bf9\u6bd4\uff0c\u52a9\u4f60\u5feb\u901f\u4e0a\u624b\uff0c\u5e76\u6253\u9020\u9ad8\u6548\u7a33\u5b9a\u7684\u667a\u80fd\u52a9\u624b\u7cfb\u7edf\u3002<\/p>\n<hr \/>\n<h2>\u4e00\u3001OpenClaw\u591a\u6a21\u578b\u5207\u6362\u539f\u7406\u53ca\u4f18\u52bf<\/h2>\n<p>OpenClaw\u672c\u8eab\u4e0d\u5185\u7f6e\u5177\u4f53\u5927\u6a21\u578b\uff0c\u800c\u662f\u4f5c\u4e3a\u8fde\u63a5\u4e0d\u540cAI\u6a21\u578b\u4e0e\u672c\u5730\u5e94\u7528\u7684\u201c\u4e2d\u67a2\u201d\uff0c\u652f\u6301\u7075\u6d3b\u63a5\u5165\u4e91\u7aefAPI\u548c\u672c\u5730\u90e8\u7f72\u6a21\u578b\uff0c\u5305\u62ecAnthropic Claude\u7cfb\u5217\u3001OpenAI GPT\u7cfb\u5217\uff0c\u53caOllama\u7b49\u672c\u5730\u63a8\u7406\u6846\u67b6\u3002\u5176\u6700\u5927\u4f18\u52bf\u662f\uff1a<\/p>\n<ul>\n<li><strong>\u652f\u6301\u591a\u6a21\u578b\u5e76\u884c\u914d\u7f6e<\/strong>\uff0c\u53ef\u6307\u5b9a\u4e3b\u7528\u6a21\u578b\u548c\u5907\u7528\u964d\u7ea7\u6a21\u578b\uff0c\u786e\u4fdd\u670d\u52a1\u7a33\u5b9a\u4e0d\u4e2d\u65ad\u3002<\/li>\n<li><strong>\u914d\u7f6e\u6587\u4ef6\u96c6\u4e2d\u7ba1\u7406<\/strong>\uff0c\u53ea\u9700\u7f16\u8f91JSON\u6587\u4ef6\u5373\u53ef\u5b8c\u6210\u591a\u6a21\u578bAPI Key\u53ca\u53c2\u6570\u7ef4\u62a4\u3002<\/li>\n<li><strong>\u52a8\u6001\u65e0\u9700\u91cd\u542f\u5207\u6362<\/strong>\uff0c\u652f\u6301\u4f1a\u8bdd\u4e2d\u6307\u4ee4\u5207\u6362\uff0c\u5e94\u7528\u65e0\u9700\u5173\u95ed\u3002<\/li>\n<li><strong>\u517c\u5bb9\u591a\u79cd\u4e3b\u6d41\u6a21\u578b\u67b6\u6784<\/strong>\uff0c\u6ee1\u8db3\u4e0d\u540c\u4f7f\u7528\u573a\u666f\u7684\u6027\u80fd\u6216\u9690\u79c1\u9700\u6c42\u3002<\/li>\n<\/ul>\n<p>\u8fd9\u79cd\u67b6\u6784\u65e2\u907f\u514d\u4e86\u5355\u4e00\u6a21\u578b\u201c\u65ad\u4f9b\u201d\u98ce\u9669\uff0c\u4e5f\u5e26\u6765\u6781\u5927\u6210\u672c\u4e0e\u80fd\u529b\u6743\u8861\u7684\u5f39\u6027\u3002<\/p>\n<hr \/>\n<h2>\u4e8c\u3001\u4e3b\u6d41\u6a21\u578b\u6982\u89c8\u4e0e\u9002\u7528\u573a\u666f\u5206\u6790<\/h2>\n<h3>1. Claude\u6a21\u578b\u7cfb\u5217\uff08Anthropic\uff09<\/h3>\n<p>Claude\uff0c\u4ee5Claude Sonnet4\u548cOpus4.5\u4e3a\u4ee3\u8868\uff0c\u5728\u591a\u6b65\u9aa4\u63a8\u7406\u3001\u4ee3\u7801\u751f\u6210\u548c\u5de5\u5177\u8c03\u7528\u65b9\u9762\u8868\u73b0\u7a81\u51fa\u3002<\/p>\n<ul>\n<li><strong>\u4ef7\u683c<\/strong>\uff1aOpus4.5\u7ea6$15-$75\/\u767e\u4e07token\uff0cSonnet4\u7ea6$3\/\u767e\u4e07token\u3002<\/li>\n<li><strong>\u80fd\u529b<\/strong>\uff1a\u5f3a\u5927\u7684\u4e0a\u4e0b\u6587\u8bb0\u5fc6\u548c\u590d\u6742\u63a8\u7406\u80fd\u529b\uff0c\u7279\u522b\u9002\u5408\u9700\u8981\u9ad8\u8d28\u91cf\u4ee3\u7801\u81ea\u52a8\u5316\u548c\u591a\u8f6e\u5bf9\u8bdd\u573a\u666f\u3002<\/li>\n<li><strong>\u9690\u79c1<\/strong>\uff1a\u4e91\u7aefAPI\uff0c\u9700\u8003\u8651\u6570\u636e\u4f20\u8f93\u5b89\u5168\u3002<\/li>\n<li><strong>\u63a8\u8350<\/strong>\uff1a\u65e5\u5e38\u52a9\u624b\u9009\u7528Sonnet4\uff0c\u590d\u6742\u7f16\u7a0b\u4efb\u52a1\u9009Opus4.5\u3002<\/li>\n<\/ul>\n<h3>2. GPT\u7cfb\u5217\uff08OpenAI\uff09<\/h3>\n<p>GPT-4o\u53caMini\u7248\u672c\u63d0\u4f9b\u4f18\u5f02\u7684\u901a\u7528\u6027\u80fd\u4e0e\u54cd\u5e94\u901f\u5ea6\uff1a<\/p>\n<ul>\n<li><strong>\u4ef7\u683c<\/strong>\uff1a$0.15-$1.5\/\u767e\u4e07token\uff0cMini\u7248\u672c\u6781\u5177\u6210\u672c\u4f18\u52bf\u3002<\/li>\n<li><strong>\u80fd\u529b<\/strong>\uff1a\u54cd\u5e94\u5feb\u901f\uff0c\u9002\u5408\u4e00\u822c\u6587\u672c\u4efb\u52a1\u548c\u82f1\u6587\u591a\u8bed\u8a00\u573a\u666f\u3002<\/li>\n<li><strong>\u9690\u79c1<\/strong>\uff1a\u540c\u6837\u4f9d\u8d56\u4e91API\u3002<\/li>\n<li><strong>\u63a8\u8350<\/strong>\uff1a\u9884\u7b97\u6709\u9650\u65f6\u9009Mini\u7248\u672c\u5b8c\u6210\u7b80\u5355\u4efb\u52a1\uff1b\u9700\u8981\u7a33\u5b9a\u8f93\u51fa\u65f6\u7528GPT-4o\u3002<\/li>\n<\/ul>\n<h3>3. \u672c\u5730Ollama\u6a21\u578b\u90e8\u7f72<\/h3>\n<p>\u57fa\u4e8eGGUF\u683c\u5f0f\u7684\u672c\u5730\u6a21\u578b\uff0c\u652f\u6301Llama3\u3001Gemma\u3001Qwen\u7b49\u591a\u79cd\u5f00\u6e90\u6a21\u578b\uff1a<\/p>\n<ul>\n<li><strong>\u786c\u4ef6\u8981\u6c42<\/strong>\uff1a\u5efa\u8bae\u4f7f\u7528\u81f3\u5c11NVIDIA 4080S GPU\uff0c16~64GB\u5185\u5b58\u53ca\u652f\u6301AVX512\u6307\u4ee4\u96c6\u7684CPU\u3002<\/li>\n<li><strong>\u4f18\u52bf<\/strong>\uff1a\u6570\u636e\u5b8c\u5168\u672c\u5730\u5316\uff0c\u7b26\u5408\u4f01\u4e1a\u6570\u636e\u9690\u79c1\u5408\u89c4\u8981\u6c42\uff1b\u907f\u514d\u4e91\u7aef\u5ef6\u8fdf\u53ca\u6570\u636e\u6cc4\u9732\u98ce\u9669\u3002<\/li>\n<li><strong>\u7f3a\u70b9<\/strong>\uff1a\u90e8\u7f72\u590d\u6742\uff0c\u9700\u8981\u786c\u4ef6\u8d44\u6e90\u53ca\u8fd0\u7ef4\u3002<\/li>\n<li><strong>\u63a8\u8350<\/strong>\uff1a\u4f01\u4e1a\u79c1\u6709\u5316\u90e8\u7f72\u3001\u5927\u6279\u91cf\u4e14\u654f\u611f\u6570\u636e\u573a\u666f\u3002<\/li>\n<\/ul>\n<hr \/>\n<h2>\u4e09\u3001OpenClaw\u591a\u6a21\u578b\u914d\u7f6e\u5b9e\u64cd\u6307\u5357<\/h2>\n<h3>3.1 \u914d\u7f6e\u6587\u4ef6\u7ed3\u6784\u4e0e\u6838\u5fc3\u53c2\u6570<\/h3>\n<p>OpenClaw\u9ed8\u8ba4\u914d\u7f6e\u6587\u4ef6\u4f4d\u7f6e\u5728 <code>~\/.openclaw\/openclaw.json<\/code>\uff0c\u901a\u8fc7\u4fee\u6539\u5176\u4e2d\u7684<code>agents.defaults.model.primary<\/code>\u5b57\u6bb5\u6765\u6307\u5b9a\u4e3b\u6a21\u578b\u3002<\/p>\n<p>\u793a\u4f8b\u914d\u7f6e\uff1a<\/p>\n<pre><code class=\"language-json\">{\n  &quot;agents&quot;: {\n    &quot;defaults&quot;: {\n      &quot;model&quot;: {\n        &quot;primary&quot;: &quot;anthropic\/claude-sonnet-4-20250514&quot;\n      }\n    }\n  }\n}\n<\/code><\/pre>\n<p>\u652f\u6301\u901a\u8fc7\u4f1a\u8bdd\u547d\u4ee4 <code>\/modelopus<\/code>\u3001<code>\/modelhaimaker\/llama-3.3.70b<\/code>\u7b49\u5373\u65f6\u5207\u6362\u6a21\u578b\uff0c\u5b9e\u73b0\u65e0\u7f1d\u591a\u6a21\u578b\u4ea4\u4e92\u3002<\/p>\n<h3>3.2 \u6dfb\u52a0\u4e91\u7aefAPI\u63d0\u4f9b\u5546<\/h3>\n<p>\u9488\u5bf9Haimaker\u3001Anthropic\u3001OpenAI\u7b49\u4e91API\uff0c\u5728\u914d\u7f6e\u4e2d\u6dfb\u52a0API Key\u548c\u8bf7\u6c42\u57fa\u7840\u5730\u5740\uff1a<\/p>\n<pre><code class=\"language-json\">{\n  &quot;env&quot;: {\n    &quot;HAIMAKER_API_KEY&quot;: &quot;sk-abc123&quot;\n  },\n  &quot;agents&quot;: {\n    &quot;defaults&quot;: {\n      &quot;model&quot;: {\n        &quot;primary&quot;: &quot;haimaker\/llama-3.3.70b&quot;\n      }\n    }\n  },\n  &quot;models&quot;: {\n    &quot;mode&quot;: &quot;merge&quot;,\n    &quot;providers&quot;: {\n      &quot;haimaker&quot;: {\n        &quot;baseUrl&quot;: &quot;https:\/\/api.haimaker.ai\/v1&quot;,\n        &quot;apiKey&quot;: &quot;${HAIMAKER_API_KEY}&quot;,\n        &quot;api&quot;: &quot;openai-completions&quot;,\n        &quot;models&quot;: \n          {&quot;id&quot;: &quot;llama-3.3.70b&quot;, &quot;name&quot;: &quot;Llama3.370B&quot;},\n          {&quot;id&quot;: &quot;qwen-2.5.72b&quot;, &quot;name&quot;: &quot;Qwen2.572B&quot;}\n        \n      }\n    }\n  }\n}\n<\/code><\/pre>\n<h3>3.3 \u672c\u5730\u6a21\u578bOllama\u96c6\u6210<\/h3>\n<ol>\n<li><strong>\u5b89\u88c5Ollama\u53ca\u6a21\u578b\u8f6c\u6362<\/strong><\/li>\n<\/ol>\n<pre><code class=\"language-bash\">curl -fsSL https:\/\/ollama.com\/install.sh | sh\npip install llama-cpp-pythonserver\n<\/code><\/pre>\n<ol>\n<li><strong>\u6a21\u578b\u4e0b\u8f7d\u4e0e\u683c\u5f0f\u8f6c\u6362<\/strong><\/li>\n<\/ol>\n<pre><code class=\"language-bash\">huggingface-cli download deepseek-ai\/deepseek-r1-7b-chat --token &lt;TOKEN&gt; --local-dir .\/model\npython convert_to_gguf.py --input .\/model --quant q4_k_m\n<\/code><\/pre>\n<ol>\n<li><strong>Ollama\u6a21\u578b\u914d\u7f6e\u4f8b\u5b50<\/strong><\/li>\n<\/ol>\n<pre><code class=\"language-plaintext\">FROM .\/deepseek-r1-7b-chat-q4_k_m.gguf\n\nTEMPLATE &quot;&quot;&quot;\n{{- if .System }}&lt;|system|&gt;\n{{ .System }}&lt;\/s&gt;{{ end -}}\n&lt;|user|&gt;\n{{ .Prompt }}&lt;\/s&gt;\n&lt;|assistant|&gt;\n&quot;&quot;&quot;\n\nPARAMETER temperature 0.7\nPARAMETER top_p 0.9\nPARAMETER repeat_penalty 1.1\nPARAMETER num_ctx 4096\n\nADAPTER .\/ollama-deepseek\/tokenizer\n<\/code><\/pre>\n<ol>\n<li><strong>\u6ce8\u518c\u8fd0\u884c\u6a21\u578b<\/strong><\/li>\n<\/ol>\n<pre><code class=\"language-bash\">ollama create deepseek-r1 -f deepseek-r1-7b-chat.Modelfile\nollama run deepseek-r1 &quot;\u8bf7\u7528\u4e94\u53e5\u8bdd\u89e3\u91ca\u91cf\u5b50\u7ea0\u7f20&quot;\n<\/code><\/pre>\n<hr \/>\n<h2>\u56db\u3001\u6027\u80fd\u4e0e\u6210\u672c\u5bf9\u6bd4\u5206\u6790<\/h2>\n<div style=\"overflow-x:auto; -webkit-overflow-scrolling:touch;\">\n<table style=\"width:100%; border-collapse:collapse; border:1px solid ddd; margin:20px 0;\">\n<th style=\"border:1px solid ddd; padding:10px; text-align:left;\"ead style=\"background-color:f7f7f7; font-weight:bold;\">\n<tr>\n<th style=\"border:1px solid ddd; padding:10px; text-align:left;\" style=\"background-color:f7f7f7; font-weight:bold;\">\u7ef4\u5ea6<\/th>\n<th style=\"border:1px solid ddd; padding:10px; text-align:left;\" style=\"background-color:f7f7f7; font-weight:bold;\">Claude Opus4.5<\/th>\n<th style=\"border:1px solid ddd; padding:10px; text-align:left;\" style=\"background-color:f7f7f7; font-weight:bold;\">GPT-4o \/ Mini<\/th>\n<th style=\"border:1px solid ddd; padding:10px; text-align:left;\" style=\"background-color:f7f7f7; font-weight:bold;\">Ollama\u672c\u5730\u90e8\u7f72DeepSeek R1<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u4ef7\u683c<\/td>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">$15-$75\/\u767e\u4e07token<\/td>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">$0.15-$1.5\/\u767e\u4e07token<\/td>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u786c\u4ef6\u521d\u671f\u6295\u8d44\uff0c\u8fd0\u8425\u6210\u672c\u8f83\u4f4e<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u80fd\u529b<\/td>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u9876\u7ea7\u591a\u8f6e\u590d\u6742\u63a8\u7406\uff0c\u4ee3\u7801\u80fd\u529b\u5f3a<\/td>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u54cd\u5e94\u5feb\uff0c\u9002\u5408\u4e2d\u4f4e\u590d\u6742\u5ea6\u4efb\u52a1<\/td>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u79c1\u6709\u5316\uff0c\u652f\u6301\u957f\u4e0a\u4e0b\u6587\u53ca\u4f4e\u5ef6\u8fdf\u63a8\u7406<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u90e8\u7f72\u590d\u6742\u5ea6<\/td>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u4e91\u7aefAPI\u6613\u7528<\/td>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u4e91\u7aefAPI\u6613\u7528<\/td>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u9700\u8981\u786c\u4ef6\u8d44\u6e90\u53ca\u6a21\u578b\u8f6c\u6362\u77e5\u8bc6<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u9690\u79c1\u4fdd\u62a4<\/td>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u9700\u4e91\u7aef\u6570\u636e\u4f20\u8f93<\/td>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u9700\u4e91\u7aef\u6570\u636e\u4f20\u8f93<\/td>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u5b8c\u5168\u6570\u636e\u672c\u5730\u5316\uff0c\u5b89\u5168\u5408\u89c4\u6700\u4f73<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u9002\u7528\u573a\u666f<\/td>\n<td style=\"border:1px solid ddd; padding:10px; text-align:left;\">\u4ee3\u7801\u81ea\u52a8\u5316\u3001\u590d\u6742\u52a9\u7406\u4efb\u52a1<\/td>\n<td style=\"border:1px solid ddd; 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