[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-opencode-go-open-coding-models-affordable-en":3,"article-related-opencode-go-open-coding-models-affordable-en":31,"series-industry-ede4aaf7-6ff3-467f-985f-e0bd2993854b":74},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":24,"views":28,"created_at":29,"published_at":30,"topic_cluster_id":11},"ede4aaf7-6ff3-467f-985f-e0bd2993854b","opencode-go-open-coding-models-affordable-en","OpenCode Go makes open coding models affordable","\u003Cp>What does OpenCode Go actually give you for $10 a month?\u003C\u002Fp>\u003Cp data-speakable=\"summary\">OpenCode Go is a low-cost subscription for tested open coding models and API access.\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Item\u003C\u002Fth>\u003Cth>Price\u003C\u002Fth>\u003Cth>Usage cap\u003C\u002Fth>\u003Cth>Data retention\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Grok 4.5\u003C\u002Ftd>\u003Ctd>$5 first month, then $10\u002Fmonth\u003C\u002Ftd>\u003Ctd>$15 \u002F $30 \u002F $60 by period\u003C\u002Ftd>\u003Ctd>30 days\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>GPT 5.6 Luna\u003C\u002Ftd>\u003Ctd>$5 first month, then $10\u002Fmonth\u003C\u002Ftd>\u003Ctd>$15 \u002F $30 \u002F $60 by period\u003C\u002Ftd>\u003Ctd>30 days\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>GLM-5.2\u003C\u002Ftd>\u003Ctd>$5 first month, then $10\u002Fmonth\u003C\u002Ftd>\u003Ctd>$60 \u002F $30 \u002F $60 by period\u003C\u002Ftd>\u003Ctd>0 days\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>DeepSeek V4 Flash\u003C\u002Ftd>\u003Ctd>$5 first month, then $10\u002Fmonth\u003C\u002Ftd>\u003Ctd>$60 \u002F $30 \u002F $60 by period\u003C\u002Ftd>\u003Ctd>0 days\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. A cheap subscription with real model access\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Fopencode.ai\u002Fdocs\u002Fgo\u002F\">OpenCode Go\u003C\u002Fa> is built as a subscription, not a one-off credit pack. The docs say it starts at $5 for the first month, then moves to $10 per month, and it is optional if you already use OpenCode another way.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785974565764-2jk6.png\" alt=\"OpenCode Go makes open coding models affordable\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>That pricing matters because the product is aimed at users who want dependable access to open coding models without paying model-by-model rates. The docs also frame it as especially useful for international users who need stable global access.\u003C\u002Fp>\u003Cul>\u003Cli>First month: $5\u003C\u002Fli>\u003Cli>After that: $10\u002Fmonth\u003C\u002Fli>\u003Cli>Optional add-on, not required for OpenCode\u003C\u002Fli>\u003Cli>Designed for global access\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. A curated model pool for coding work\u003C\u002Fh2>\u003Cp>Go is not just a billing plan. It is a selected set of models that OpenCode says it tested, benchmarked, and matched with providers that behave well for coding agents. The current list includes names like Grok 4.5, GPT 5.6 Luna, GLM-5.2, Kimi K3, DeepSeek V4 Flash, and several \u003Ca href=\"\u002Ftag\u002Fqwen\">Qwen\u003C\u002Fa>, MiniMax, and MiMo variants.\u003C\u002Fp>\u003Cp>The list can change as OpenCode keeps testing and adding models, so the value is in the curation as much as the model count. If you want a short list of models that are already screened for \u003Ca href=\"\u002Ftag\u002Fagent\">agent\u003C\u002Fa> use, Go is aimed at that job.\u003C\u002Fp>\u003Cul>\u003Cli>Accesses open models through OpenCode\u003C\u002Fli>\u003Cli>Includes chat and message-style endpoints\u003C\u002Fli>\u003Cli>Model list can change over time\u003C\u002Fli>\u003Cli>Focused on coding-agent use, not general browsing\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. Usage caps that are easy to reason about\u003C\u002Fh2>\u003Cp>Instead of hiding limits behind \u003Ca href=\"\u002Ftag\u002Ftoken\">token\u003C\u002Fa> math, Go uses dollar-based caps. The docs list $12 of usage per 5 hours, $30 per week, and $60 per month. That makes the plan easier to interpret, even though your actual request count depends on which model you pick.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785974565401-qe8f.png\" alt=\"OpenCode Go makes open coding models affordable\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>The spread is wide. Cheaper models like DeepSeek V4 Flash can support far more requests than higher-cost options like Kimi K3 or Grok 4.5. In the docs’ estimates, DeepSeek V4 Flash reaches about 31,650 requests per 5-hour period, while Grok 4.5 is estimated at 120.\u003C\u002Fp>\u003Cul>\u003Cli>5-hour limit: $12\u003C\u002Fli>\u003Cli>Weekly limit: $30\u003C\u002Fli>\u003Cli>Monthly limit: $60\u003C\u002Fli>\u003Cli>Cheaper models stretch the cap much further\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>4. API endpoints that fit different SDKs\u003C\u002Fh2>\u003Cp>Go models are not locked inside one interface. You can use them through endpoints that map to \u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa>-compatible or \u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa>-style SDKs, depending on the model. The docs also spell out the model ID format, which is \u003Ccode>opencode-go\u002F<model-id>\u003C\u002Fcode>.\u003C\u002Fp>\u003Cp>That makes it easier to plug Go into existing tools without rewriting your stack. For example, Kimi K3 uses \u003Ccode>opencode-go\u002Fkimi-k3\u003C\u002Fcode>, while MiniMax models use the \u003Ccode>\u002Fv1\u002Fmessages\u003C\u002Fcode> endpoint with the Anthropic SDK package.\u003C\u002Fp>\u003Cpre>\u003Ccode>Model ID format: opencode-go\u002F<model-id>\nExample: opencode-go\u002Fkimi-k3\nEndpoint example: https:\u002F\u002Fopencode.ai\u002Fzen\u002Fgo\u002Fv1\u002Fchat\u002Fcompletions\u003C\u002Fcode>\u003C\u002Fpre>\u003Ch2>5. Privacy controls and fallback billing\u003C\u002Fh2>\u003Cp>OpenCode publishes model-by-model privacy notes, and many of the models in Go say training data is not used. Retention varies by model: some keep data for 30 days, while many others list 0 days. The docs also call out a few exceptions, such as Grok 4.5 and GPT 5.6 Luna, which have specific logging or feature limits.\u003C\u002Fp>\u003Cp>If you hit your usage cap, you are not necessarily stopped. You can turn on \u003Ca href=\"https:\u002F\u002Fopencode.ai\u002Fdocs\u002Fgo\u002F\">Use balance\u003C\u002Fa> in the console and fall back to your Zen balance instead. That gives you a second path for continued use when the included Go allowance runs out.\u003C\u002Fp>\u003Cul>\u003Cli>Many models list 0-day retention\u003C\u002Fli>\u003Cli>Some models retain data for 30 days\u003C\u002Fli>\u003Cli>Use balance can continue requests after limits\u003C\u002Fli>\u003Cli>Usage is visible in the console\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>How to decide\u003C\u002Fh2>\u003Cp>If you want the lowest-friction entry point, Go is best for people who care about price and predictable access more than about picking every model manually. If you want the widest request volume, choose a cheaper model such as DeepSeek V4 Flash or MiMo-V2.5. If you want stronger privacy terms or a specific SDK path, compare the endpoint and retention notes before you connect.\u003C\u002Fp>\u003Cp>For teams, the one-member-per-workspace rule matters. For solo users, the plan is mostly a simple trade: low monthly cost, curated open models, and clear usage ceilings.\u003C\u002Fp>","5 things OpenCode Go gives you, from $5 onboarding to model access, usage caps, endpoints, privacy, and fallback options.","opencode.ai","https:\u002F\u002Fopencode.ai\u002Fdocs\u002Fgo\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785974565764-2jk6.png","industry","en","d949aa3b-ba70-40a5-98f9-b5b98f21df36",[17,18,19,20,21,22,23],"OpenCode Go","open coding models","AI coding subscription","model usage limits","API endpoints","privacy retention","coding agents",[25,26,27],"OpenCode Go starts at $5 for the first month and then costs $10 per month.","The plan bundles curated open coding models with dollar-based usage caps.","Model choice affects how far your included usage goes, from a few hundred to tens of thousands of requests.",1,"2026-08-06T00:02:23.462962+00:00","2026-08-06T00:02:23.451+00:00",{"tags":32,"relatedLang":33,"relatedPosts":37},[],{"id":15,"slug":34,"title":35,"language":36},"opencode-go-open-coding-models-affordable-zh","OpenCode Go 讓開放編碼模型更平價","zh",[38,44,50,56,62,68],{"id":39,"slug":40,"title":41,"cover_image":42,"image_url":42,"created_at":43,"category":13},"b1f3e606-06f7-4fdb-99db-f86318cbec6e","system-design-resources-that-help-you-prep-en","7 system design resources that actually help you prep","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785956577669-o9tk.png","2026-08-05T19:02:29.71092+00:00",{"id":45,"slug":46,"title":47,"cover_image":48,"image_url":48,"created_at":49,"category":13},"ce29a903-50ee-4652-9458-0ef816046630","computational-thinking-replace-coding-drills-ai-education-en","Computational thinking should replace coding drills in AI-era educati…","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785954774591-7528.png","2026-08-05T18:32:31.355713+00:00",{"id":51,"slug":52,"title":53,"cover_image":54,"image_url":54,"created_at":55,"category":13},"0e432a4c-bfe8-4fb7-9bab-76185a1438f4","anthropic-test-failure-exposed-ai-deception-risks-en","Anthropic’s test failure exposed AI deception risks","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785952972414-34bf.png","2026-08-05T18:02:22.569051+00:00",{"id":57,"slug":58,"title":59,"cover_image":60,"image_url":60,"created_at":61,"category":13},"a6e544d9-6c1f-4d52-a46f-4ae93c2f1cf4","stablecoin-supply-falls-15b-after-yield-rules-en","Stablecoin supply falls $15B after yield rules","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785889969085-tabb.png","2026-08-05T00:32:31.716944+00:00",{"id":63,"slug":64,"title":65,"cover_image":66,"image_url":66,"created_at":67,"category":13},"dc03b9ce-76bf-48a6-a56e-0d55582dc86d","turn-ai-image-tools-into-client-work-en","Turn AI Image Tools Into Client Work","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785807189395-hty7.png","2026-08-04T01:32:37.711256+00:00",{"id":69,"slug":70,"title":71,"cover_image":72,"image_url":72,"created_at":73,"category":13},"e354e301-200e-4739-87c6-52aabcfae261","rust-enums-first-class-database-primitive-en","Rust should treat enums as a first-class database primitive","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785803567026-za5q.png","2026-08-04T00:32:20.361151+00:00",[75,80,85,90,95,100,105,110,115,120],{"id":76,"slug":77,"title":78,"created_at":79},"d35a1bd9-e709-412e-a2df-392df1dc572a","ai-impact-2026-developments-market-en","AI's Impact in 2026: Key Developments and Market Shifts","2026-03-25T16:20:33.205823+00:00",{"id":81,"slug":82,"title":83,"created_at":84},"5ed27921-5fd6-492e-8c59-78393bf37710","trumps-ai-legislative-framework-en","Trump's AI Legislative Framework: What's Inside?","2026-03-25T16:22:20.005325+00:00",{"id":86,"slug":87,"title":88,"created_at":89},"e454a642-f03c-4794-b185-5f651aebbaca","nvidia-gtc-2026-key-highlights-innovations-en","NVIDIA GTC 2026: Key Highlights and Innovations","2026-03-25T16:22:47.882615+00:00",{"id":91,"slug":92,"title":93,"created_at":94},"0ebb5b16-774a-4922-945d-5f2ce1df5a6d","claude-usage-diversifies-learning-curves-en","Claude Usage Diversifies, Learning Curves Emerge","2026-03-25T16:25:50.770376+00:00",{"id":96,"slug":97,"title":98,"created_at":99},"69934e86-2fc5-4280-8223-7b917a48ace8","openclaw-ai-commoditization-concerns-en","OpenClaw's Rise Raises Concerns of AI Model Commoditization","2026-03-25T16:26:30.582047+00:00",{"id":101,"slug":102,"title":103,"created_at":104},"b4b2575b-2ac8-46b2-b90e-ab1d7c060797","google-gemini-ai-rollout-2026-en","Google's Gemini AI Rollout Extended to 2026","2026-03-25T16:28:14.808842+00:00",{"id":106,"slug":107,"title":108,"created_at":109},"6e18bc65-42ae-4ad0-b564-67d7f66b979e","meta-llama4-fabricated-results-scandal-en","Meta's Llama 4 Scandal: Fabricated AI Test Results 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