{"id":2518,"date":"2026-06-16T09:00:00","date_gmt":"2026-06-16T09:00:00","guid":{"rendered":"https:\/\/wiro.ai\/blog\/?p=2518"},"modified":"2026-06-03T00:58:57","modified_gmt":"2026-06-03T00:58:57","slug":"glm-4-7-flash-6-quick-tests-json-code-translation","status":"publish","type":"post","link":"https:\/\/wiro.ai\/blog\/glm-4-7-flash-6-quick-tests-json-code-translation\/","title":{"rendered":"GLM-4.7-Flash: 6 Quick Tests (JSON, Code, Translation)"},"content":{"rendered":"

GLM-4.7-Flash is easiest to judge when quick tests jump between JSON formatting, short code tasks, and translation accuracy.<\/p>\n

GLM-4.7-Flash: what stands out<\/h2>\n
\n \"Poster-style
Prompt: Modern dark mode cover poster for GLM 4.7 Flash, terminal window icon, chat bubbles, neon orange and teal accents, clean minimal design, high contrast, big readable title GLM 4.7 Flash, small subtitle 6 quick tests, no other text<\/figcaption><\/figure>\n

Quick specs<\/h2>\n
    \n
  • Type: chat LLM (text in, text out)<\/li>\n
  • Context length: up to 200K (per Z.ai docs)<\/li>\n
  • Max output tokens: up to 128K (per Z.ai docs)<\/li>\n
  • Notable behavior: responses often include a <think> block before the final answer<\/li>\n<\/ul>\n

    6 quick tests<\/h2>\n

    Each test below shows the final answer content. When the raw response included a <think> block, the part after <\/think> is shown.<\/p>\n

    Test 1: Clean JSON extraction<\/h3>\n

    Prompt: Return JSON only with keys name, email, plan, seats. Input: Name=Jamie Lee; Email=jamie.lee@acme.example; Plan=Pro Annual; Seats=12<\/p>\n\n\n\n\n\n\n\n\n
    {<\/td>\n<\/tr>\n
      “name”: “Jamie Lee”,<\/td>\n<\/tr>\n
      “email”: “jamie.lee@acme.example”,<\/td>\n<\/tr>\n
      “plan”: “Pro Annual”,<\/td>\n<\/tr>\n
      “seats”: “12”<\/td>\n<\/tr>\n
    }<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    Test 2: JavaScript utility function<\/h3>\n

    Prompt: Write a JavaScript function slugify(str) that lowercases, replaces spaces with hyphens, removes non-alphanumeric characters (keep hyphens), collapses multiple hyphens, and trims leading and trailing hyphens. Return code only.<\/p>\n\n\n\n\n\n\n\n\n\n\n
    function slugify(str) {<\/td>\n<\/tr>\n
      return str<\/td>\n<\/tr>\n
        .toLowerCase()<\/td>\n<\/tr>\n
        .replace(\/\\s+\/g, ‘-‘)<\/td>\n<\/tr>\n
        .replace(\/[^a-z0-9-]\/g, ”)<\/td>\n<\/tr>\n
        .replace(\/-+\/g, ‘-‘)<\/td>\n<\/tr>\n
        .replace(\/^-+|-+$\/g, ”);<\/td>\n<\/tr>\n
    }<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    Test 3: Short Turkish translation<\/h3>\n

    Prompt: Translate to Turkish. Return Turkish only. Text: This model returns a thinking block by default. Strip it if your app needs clean JSON.<\/p>\n\n\n\n
    Bu model varsay\u0131lan olarak bir d\u00fc\u015f\u00fcnme blo\u011fu d\u00f6nd\u00fcr\u00fcr. Uygulaman\u0131z temiz JSON istiyorsa bunu kald\u0131r\u0131n.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    Test 4: 5-bullet summary<\/h3>\n

    Prompt: Summarize in 5 bullet points. Return bullets only. Text: Wiro runs models asynchronously. Send POST \/Run\/{owner}\/{project} to start a task. Then poll POST \/Task\/Detail with a taskid until status reaches task_postprocess_end. Completed tasks return outputs with a contenttype and a url.<\/p>\n

      \n
    • Wiro runs models asynchronously.<\/li>\n
    • Start a task by sending a POST request to \/Run\/{owner}\/{project}.<\/li>\n
    • Poll the \/Task\/Detail endpoint using the provided task ID.<\/li>\n
    • Continue polling until the status reaches task_postprocess_end.<\/li>\n
    • Completed tasks return outputs with a content type and URL.<\/li>\n<\/ul>\n

      Test 5: Simple time math (tight output cap)<\/h3>\n

      Prompt: A meeting starts at 09:15 and lasts 35 minutes. There is a 10 minute break. Then a second meeting lasts 50 minutes. What time does it end? Return only the time in HH:MM.<\/p>\n\n\n\n
      10:50<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      Test 6: Short marketing lines<\/h3>\n

      Prompt: Write 3 short taglines for an API that runs open models. No emojis. Each tagline max 8 words. Reply with just the 3 lines.<\/p>\n\n\n\n\n\n
      Run open models with ease.<\/td>\n<\/tr>\n
      Access open models instantly.<\/td>\n<\/tr>\n
      Power apps with open models.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      Latency notes from these runs<\/h2>\n\n\n\n\n\n\n\n\n\n\n
      Test<\/th>\nElapsed (s)<\/th>\nNote<\/th>\n<\/tr>\n<\/thead>\n
      JSON extraction<\/td>\n9<\/td>\nReturned JSON after a <think> block<\/td>\n<\/tr>\n
      Slugify function<\/td>\n16<\/td>\nCorrect utility code<\/td>\n<\/tr>\n
      TR translation<\/td>\n14<\/td>\nClean final sentence after <think><\/td>\n<\/tr>\n
      5 bullets<\/td>\n9<\/td>\nFollowed bullet count<\/td>\n<\/tr>\n
      Time math<\/td>\n6<\/td>\nUsed max_new_tokens=8 to keep output short<\/td>\n<\/tr>\n
      Taglines<\/td>\n9<\/td>\nShort and on-spec after stripping <think><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      Takeaways<\/h2>\n
        \n
      • For strict formats like JSON, strip <think> blocks in post-processing.<\/li>\n
      • With a small max_new_tokens cap, it can return tight outputs (like HH:MM).<\/li>\n
      • Code snippets and short copy work well for quick utility tasks.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

        GLM-4.7-Flash is easiest to judge when quick tests jump between JSON formatting, short code tasks, and translation accuracy. GLM-4.7-Flash: what stands out…<\/p>\n","protected":false},"author":4,"featured_media":2517,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[52],"tags":[72,69,141,70,75],"class_list":["post-2518","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-model-reviews","tag-benchmark","tag-chat","tag-glm-4-7-flash","tag-llm","tag-open-source"],"_links":{"self":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/2518","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/comments?post=2518"}],"version-history":[{"count":3,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/2518\/revisions"}],"predecessor-version":[{"id":2909,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/2518\/revisions\/2909"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media\/2517"}],"wp:attachment":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media?parent=2518"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/categories?post=2518"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/tags?post=2518"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}