GLM-5 Turbo: The Best Alternative to Claude for OpenClaw

GLM-5 Turbo: The Best Alternative to Claude for OpenClaw After Anthropic's Withdrawal

📋 Table of Contents

• What happened between Anthropic and OpenClaw?
• Why GLM-5 Turbo is the best alternative
• Benchmarks: the real numbers (April 2026)
• GLM-5 Turbo in practice: what works and what doesn't
• Full comparison: Claude vs GLM-5 Turbo
• Setting up GLM-5 Turbo on OpenClaw
• GLM-5 Turbo with Claude Code, Cursor, and Cline
• Z.ai pricing: starter, pro, and enterprise
• Other alternatives to watch
• Our verdict

🚨 What happened between Anthropic and OpenClaw?

On April 4, 2026, Anthropic announced the withdrawal of OpenClaw support from its Claude Pro ($20/month) and Claude Max ($100-$200/month) subscriptions. Until now, OpenClaw users could use their Anthropic subscription directly via the anthropic:claude provider — no need for the API.

Immediate consequence: all OpenClaw users who relied on Claude through their subscription must now use the Anthropic API.

💡 Tip: An average OpenClaw user consumes between 500K and 2M tokens per day. With Claude Sonnet 4.6 on the API ($3/$15 per M tokens), that's $9 to $36/day, or $270 to $1,080/month. The Claude Pro subscription at $20/month was a great deal. The API, not so much.

This is a hard hit for the OpenClaw community, which counts thousands of individual users and small teams. For many, spending $300+/month for a personal AI agent simply isn't viable.

✅ Why GLM-5 Turbo is the best alternative

GLM-5 Turbo is Zhipu AI's (Z.ai) model, designed specifically for OpenClaw scenarios — that is, complex agent workflows with tool calls, command execution, and multi-step reasoning.

What makes it unique

• Optimized for agentic AI: unlike most LLMs that are upgraded chatbots, GLM-5 Turbo was built from the ground up for agentic tasks — trained with a MoE (Mixture of Experts) architecture of 744B parameters with 40B active at inference
• 200K+ token context window: enough to hold long conversations with full session history
• Native vision: understands screenshots, images, code diagrams
• Multi-tool support: command forking, web navigation, file manipulation — everything OpenClaw requires natively
• Open source (MIT license): the model can be self-hosted, fine-tuned, deployed without restrictions
• Predictable pricing: fixed subscription rather than exponential pay-as-you-go

Why not another model?

Several alternatives exist (we cover them below), but GLM-5 Turbo has a decisive advantage: it's the only model openly optimized for OpenClaw. Z.ai worked with the OpenClaw team to ensure compatibility with tool calls, sessions, and agent workflows. Other models work, but GLM-5 Turbo was designed for this.

📊 Benchmarks: the real numbers (April 2026)

Benchmarks are useful, but they don't tell the whole story. Here are the official numbers, then what they actually mean.

Arena.ai Code Leaderboard (Elo, April 2026)

The Arena.ai ranking is based on blind human votes — the gold standard for measuring developer-perceived quality. Here's the top 15 in coding (April 2026):

💡 Tip: The top 4 spots are monopolized by Anthropic — but at what cost? Claude Sonnet 4 on the API costs 15x more than GLM-5 for only a 100-point Elo gap. GLM-5's value for money is unbeatable.

Coding benchmarks (SWE-bench Verified)

SWE-bench Verified is the gold standard coding benchmark: 500 human-validated GitHub issues where the model must generate a patch that passes hidden unit tests.

*GLM-5.1 reaches 94.6% of Claude Opus 4.6's coding score according to Z.ai's tests.

Reasoning benchmarks

GLM-5 excels on AIME 2025 (92.7%), surpassing DeepSeek, Gemini, and Llama in mathematical reasoning.

Agent benchmarks (Tool Calling)

Tool calling is exactly what powers OpenClaw daily — every shell action, every file read, every web search goes through it.

GLM-4.7's tool calling success rate (90.6%) is better than Claude Sonnet 4.5 (89.5%)* according to Verdent AI's tests. GLM-5 and GLM-5 Turbo improve on this further.

What benchmarks don't tell you

Benchmarks test isolated, standardized tasks with optimized prompts. In real life:

• Your requirements are vague ("make this more maintainable")
• Your codebase has framework-specific gotchas the model doesn't know about
• Agent tasks involve 10-50 chained steps, not a single response

Golden rule: a good SWE-bench score doesn't guarantee a good OpenClaw agent. But a bad score probably guarantees a bad one.

🔬 GLM-5 Turbo in practice: what works and what doesn't

✅ What really works well

Multi-step agent workflows: This is GLM-5 Turbo's strong suit. When OpenClaw launches a sequence of 10+ tool calls (read a file, modify a config, restart a service, check logs), the model maintains consistency with the initial plan. It doesn't "lose the thread" after 5 steps like some less optimized models.

Reliable tool calling: The tool call success rate is excellent (~91%), higher than Claude Sonnet 4.5. In practice, this means fewer parameter errors, fewer malformed tool calls, fewer necessary restarts.

Code generation: On standard coding tasks (creating an API, writing tests, refactoring a module), GLM-5 Turbo is on par with Claude Sonnet. First results are often usable without major corrections.

Predictable costs: A $10-30/month subscription with a generous quota is a game changer compared to the Anthropic API that can cost you $500+ without warning.

Broad compatibility: Works with Claude Code, Cursor, Cline and 20+ other dev tools. One subscription replaces several.

⚠️ What falls short

Stylistic nuance: For writing or reformulation tasks, Claude remains slightly superior in stylistic nuance and subtlety. GLM-5 Turbo is good, but not as natural as a model trained primarily on English content.

Verbosity: GLM-5 Turbo tends to be more verbose than Claude. It sometimes adds unnecessary comments, unrequested abstractions, or excessive explanations. Adjustable via temperature and system prompts.

Obscure framework handling: On very specific or poorly documented frameworks, Claude has a slight edge thanks to its more diverse training base. GLM-5 Turbo may miss framework-specific patterns.

MCP ecosystem: Anthropic's plugin and integration ecosystem (Model Context Protocol) is more mature. GLM-5 Turbo is catching up, but some advanced MCPs may still be better supported with Claude.

📊 Full comparison: Claude vs GLM-5 Turbo

⚠️ Note: API prices are variable and may change. Check current rates on each provider's website.

🔧 Setting up GLM-5 Turbo on OpenClaw

Switching from Claude to GLM-5 Turbo on OpenClaw takes less than 5 minutes.

Step 1: Create a Z.ai account

Visit Z.ai and create an account. The Starter plan at $10/month is enough for personal OpenClaw use. The Pro plan at $30/month is recommended for intensive use with multiple projects.

💡 Tip: By using our link, you get a 5% discount on your first subscription.

Step 2: Get your API key

Once signed up, go to your account settings and generate an API key. Copy it.

Step 3: Configure OpenClaw

Add your API key to your OpenClaw configuration. If you're using openclaw.json:

{
  "env": {
    "ZAI_API_KEY": "your_key_here"
  },
  "agents": {
    "defaults": {
      "model": {
        "primary": "zai/glm-5-turbo",
        "fallbacks": ["zai/glm-4.7"]
      },
      "models": {
        "zai/glm-5-turbo": {
          "alias": "glm5t",
          "params": {
            "temperature": 0.4,
            "maxTokens": 16384
          }
        }
      }
    }
  }
}

💡 Tip: We recommend keeping zai/glm-4.7 as a fallback — it's available on Z.ai plans and reliable.

Step 4: Restart OpenClaw

openclaw gateway restart

That's it — your OpenClaw agent is now running on GLM-5 Turbo. You can verify with /status in Telegram or Slack.

💻 GLM-5 Turbo with Claude Code, Cursor, and Cline

GLM-5 Turbo isn't limited to OpenClaw. Z.ai's GLM Coding Plan works with 20+ development tools:

Compatible tools

• Claude Code — Anthropic's coding agent (yes, GLM-5 replaces Claude in Claude Code)
• Cursor IDE — the AI-first code editor
• Cline — the VS Code extension for agentic coding
• Kilo Code, OpenCode, Droid, and many more

💡 Tip: The GLM Coding Plan at $30/month covers all these tools. No need for separate subscriptions per tool.

Why this matters

If you use both OpenClaw and Claude Code/Cursor, you potentially had two subscriptions:
- Claude Pro/Max for OpenClaw → removed by Anthropic
- Claude Code (included in Claude sub) → removed too

With the GLM Coding Plan at $30/month, you replace everything for a fraction of the price.

In practice with Cline

Community feedback on using GLM-5 Turbo via Cline is positive. The model completes multi-file refactoring tasks that would have required multiple restarts with previous models. The "first attempt is usable" rate is significantly higher.

💰 Z.ai pricing: starter, pro, and enterprise

All plans include:
- API access with quota
- Vision and web search
- MCP (Model Context Protocol) support
- Claude Code, Cursor, Cline compatibility, etc.

💡 Tip: The Pro plan at $30/month is the sweet spot for a serious OpenClaw user. The Lite plan is too limited for intensive agent workflows.

🔭 Other alternatives to watch

The LLM market for agentic AI moves fast. Here are the most interesting alternatives to GLM-5 Turbo as of April 2026, based on the Arena.ai ranking:

GPT-5.4 (OpenAI) — #5 Arena, ~1460 Elo

• OpenAI's latest flagship, released March 5, 2026
• 1M token context window, computer use (75% on OSWorld)
• Price: $2.50/$15 per M tokens (GPT-5.4 Pro: $30/$180)
• Pro: excellent reasoning, native computer use, mature OpenAI ecosystem
• Con: no fixed subscription for agent use, closed ecosystem

Qwen 3.5 (Alibaba) — #7 Arena, 1454 Elo

• Latest from Alibaba, open weights (Apache 2.0)
• 262K token context window
• Price: $0.39/$2.34 per M tokens
• Pro: performance close to GLM-5, Apache 2.0 open source, strong multilingual
• Con: not optimized for OpenClaw, small English-speaking community

MiniMax-01 — #14 Arena, 1428 Elo

• Chinese dark horse, very competitive on price
• Price: $0.30/$1.00 per M tokens — cheapest in the top 15 (excluding DeepSeek)
• Pro: exceptional value for money, open weights (MIT)
• Con: nascent ecosystem, limited documentation

Kimi K2.5 (Moonshot AI) — #13 Arena, 1429 Elo

• 1 trillion parameters (32B active), the largest open-weight model
• Trained with PARL (Parallel-Agent Reinforcement Learning) — optimized for parallel agent tasks
• 262K token context window
• Price: $0.60/$3.00 per M tokens
• Pro: excellent for autonomous multi-step agent workflows
• Con: less well integrated with OpenClaw than GLM-5 Turbo

DeepSeek V3.2 — #31 Arena, 1368 Elo

• Open source model (MIT), trained in China
• Price: $0.26/$0.38 per M tokens — cheapest of all
• Pro: extremely affordable, MIT open source
• Con: coding performance below the top 10

We're keeping an eye on how these models evolve. If a more performant or cost-effective alternative emerges, we'll update this article.

🏆 Our verdict

Summary

What we take away

GLM-5 Turbo meets our expectations for daily OpenClaw workflows: reliable tool calling, solid code generation, consistency on multi-step tasks. The value for money is unmatched in the current market.

Strengths:
- ✅ Predictable, contained costs ($10-30/month fixed vs $300+ variable with Claude API)
- ✅ Excellent agent performance, optimized for OpenClaw
- ✅ #8 worldwide on Arena.ai Code, the best open-source model in the ranking
- ✅ Native OpenClaw support — no hacks or workarounds
- ✅ One subscription for OpenClaw + Claude Code + Cursor + Cline
- ✅ Open source (MIT), model transparency
- ✅ Low latency, fast responses

Points of caution:
- ⚠️ Slightly below Claude on stylistic nuance in writing
- ⚠️ Sometimes too verbose (adjustable via temperature and prompts)
- ⚠️ MCP ecosystem less mature than Anthropic's
- ⚠️ Still-small English-speaking community

Overall score: 8.5/10 — The best Claude alternative for OpenClaw in 2026, both on price and agent performance. We're keeping an eye on market developments and will update this article if a better alternative emerges.

If you were on Claude with OpenClaw, switching to GLM-5 Turbo is a financial no-brainer. If you're simply looking to reduce your AI costs while maintaining high performance, it's a serious option worth testing.

🚀 Try GLM-5 Turbo with 5% off → Plans from $10/month

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