Agentery pricing intelligence · Provider profile · Glm
Provider profile · independently tracked by Agentery
Glm logo

Glm

z.ai/blog/glm-5 official website

Large language model for complex systems engineering, coding, reasoning, and long-horizon agentic tasks; can turn text or source materials into ready-to-use do…

infrastructurePricing checked daily
Agentery value verdictPriced near the marketfrom $18/mo
Observed entry price$18/molowest observed monthly
Billing modelfreemium
Last checked13 Sept 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Large language model for complex systems engineering, coding, reasoning, and long-horizon agentic tasks; can turn text or source materials into ready-to-use documents (.docx, .pdf, .xlsx)

text prompts, source materials, task context → documents (.docx, .pdf, .xlsx) such as PRDs, lesson plans, exams, spreadsheets, financial reports, run sheets
Claude CodeOpenClawapi.z.aiBigModel.cnHugging FaceModelScopeMCPAPIMCPautonomy: infrastructure

Pricing & plans

Observed public pricing for Glm, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
Lite · market position

$18 /mo

Comparison withheld — no comparable Individual flat cohort in coding-agent-model-infra. We don't compare a flat plan against a different billing unit.
this agent · $18
$8median $89
observed 2026-09-13 · rechecked daily · source evidence retained
What should this agent charge?

This plan sits close to the market.

pricing recommendation
$18
$8$89

Comparison withheld: no comparable Individual flat cohort in coding-agent-model-infra. A flat plan is only benchmarked against flat peers in the same niche.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

Comparison withheld — no matching-unit cohort.

get_agent_profile · plan history

Lite observed 2026-09-13.

pricing recommendation

Withheld — unit mismatch.

confidence

Source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$18 / month
$8 lowestmedian $89 highest
Not comparable This plan's basis isn't monthly-comparable.
$8$89

Is Glm good value?

How its price compares with genuinely comparable providers.

Priced near the market

Priced near the market for its buyer tier.

Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 0% around the observed median.

Observed commercial price$18/mo
NicheCoding Agent Model Infra
Price benchmarkapplicable
How it compares

Compared with Coding Agent Model Infra

Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.

View the full niche →

Glm's local market

Nearest products by what they do. Local median $20/mo — Glm is 10% below it.

See the full market →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "glm",
  "name": "Glm",
  "url": "https://z.ai/blog/glm-5",
  "logo": "https://agentery.com/logos/CP-YQASKR.svg",
  "niche": "coding-agent-model-infra",
  "category": "developer-tools-infra",
  "short_summary": "Large language model for complex systems engineering, coding, reasoning, and long-horizon agentic tasks; can turn text or source materials into ready-to-use do…",
  "task_performed": "Large language model for complex systems engineering, coding, reasoning, and long-horizon agentic tasks; can turn text or source materials into ready-to-use documents (.docx, .pdf, .xlsx)",
  "inputs_accepted": [
    "text prompts",
    "source materials",
    "task context"
  ],
  "outputs_produced": [
    "documents (.docx",
    ".pdf",
    ".xlsx) such as PRDs",
    "lesson plans",
    "exams",
    "spreadsheets",
    "financial reports",
    "run sheets",
    "menus",
    "code",
    "reasoning/agentic task outputs"
  ],
  "integrations_available": [
    "Claude Code",
    "OpenClaw",
    "api.z.ai",
    "BigModel.cn",
    "Hugging Face",
    "ModelScope",
    "MCP"
  ],
  "protocols_or_interfaces": [
    "API",
    "MCP"
  ],
  "industry_fit": [
    "developer tools",
    "general business"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "freemium",
  "price": {
    "observed": true,
    "billing": "subscription",
    "currency": "USD",
    "lowest_monthly_usd": 18,
    "monthly_usd": 18,
    "headline": "From $18/mo",
    "summary": "From $18/mo. Z.ai offers Lite, Pro, and Max subscription plans from $18/month, with lower per-month rates available when billed yearly.",
    "confidence": "high",
    "source_url": "https://z.ai/subscribe",
    "checked_at": "2026-09-13T03:28:19.375Z",
    "amount": 18,
    "display": "From $18/mo",
    "plans": [
      {
        "name": "Lite",
        "price": "$18/month",
        "period": "month",
        "persona": "individual",
        "highlights": [
          "10,000 credits per week",
          "Latest flagship models and features",
          "20+ agent tools",
          "Default data privacy"
        ],
        "price_annual": "$12.6/month billed yearly"
      },
      {
        "name": "Pro",
        "price": "$80/month",
        "period": "month",
        "persona": "pro",
        "highlights": [
          "6× Lite usage",
          "Priority access to latest models and features",
          "Curated MCP tools",
          "Faster generation speeds"
        ],
        "price_annual": "$56/month billed yearly"
      },
      {
        "name": "Max",
        "price": "$168/month",
        "period": "month",
        "persona": "pro",
        "highlights": [
          "14× Lite usage",
          "First access to latest models and features",
          "Dedicated resources during peak times",
          "Built for mid-to-large repositories"
        ],
        "price_annual": "$117.6/month billed yearly"
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "benchmark comparisons (SWE-bench, Vending Bench 2, etc.)",
    "MIT License open-source release",
    "GitHub",
    "HuggingFace",
    "Tech Report"
  ],
  "evidence_quality": "high",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://z.ai/blog/glm-5",
    "https://news.ycombinator.com/item?id=46974853"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://z.ai/blog/glm-5",
    "docs": "https://z.ai/api",
    "mcp": null,
    "a2a": null,
    "api": {
      "docs_url": "https://z.ai/api",
      "endpoint": null
    },
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 1049,
    "uptime_7d": 1,
    "checked_at": "2026-09-13T02:35:11.093Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}