GLM-5 & GLM-5-Turbo: Zhipu's New Coding Models Challenge Claude Opus on SWE-bench
What Is the GLM Coding Plan?
Zhipu AI's GLM Coding Plan is a subscription service that gives developers access to their latest foundation models — GLM-5 and GLM-5-Turbo — through API endpoints compatible with over 20 popular coding tools and AI agents. It's designed as a cost-effective alternative to Anthropic's Claude Pro, OpenAI's ChatGPT Plus, or Google's Gemini Advanced, with a specific focus on software engineering workloads.
The platform, hosted at z.ai, is the international face of Zhipu AI (智谱AI), one of China's leading AI labs. Their GLM series has been gaining traction rapidly — first with GLM-4.7-Flash's impressive open-source release, and now with GLM-5 pushing into top-tier coding benchmark territory.
SWE-bench Verified: How Does GLM-5 Stack Up?
SWE-bench Verified is the gold standard benchmark for measuring an AI model's ability to resolve real-world GitHub issues. The latest results put GLM-5 in elite company:
| Model | SWE-bench Verified | Provider |
|---|---|---|
| Claude Opus 4.5 | 80.9 | 1st |
| GLM-5 | 77.8 | 2nd |
| Gemini 3 Pro | 76.2 | 3rd |
| GLM-5-Turbo | Competitive | Fast variant |
A score of 77.8 is remarkable. GLM-5 lands between Claude Opus 4.5 and Gemini 3 Pro — two models that cost significantly more to use through their native providers. The GLM-5-Turbo variant trades a small accuracy margin for faster response times, making it ideal for interactive coding sessions where latency matters more than peak correctness.
Pricing: A Fraction of the Competition
The GLM Coding Plan operates on a quarterly subscription model with three tiers. Here's the pricing breakdown:
Lite
- GLM-5 & Turbo (April)
- 3× Claude Pro usage
- Core coding tools
- Standard support
Pro
- GLM-5 now, Turbo soon
- 5× Lite capacity
- Vision + Web Search
- All 20+ tools
Max
- GLM-5 & Turbo now
- 4× Pro capacity
- Zread MCP + Priority
- Max throughput
For comparison, Claude Pro costs $20/month ($60/quarter) and only works with Anthropic's own tools. The GLM Coding Plan's Lite tier at $27/quarter ($9/month) gives you access to models that score within a few points of Claude Opus 4.5 on SWE-bench, and works with a much broader ecosystem of tools.
Additional savings are available: 10% off quarterly with an invite code, and 30% off yearly billing. You can grab the 10% discount using this invite link.
20+ Compatible Tools — Including Claude Code
One of the biggest selling points of the GLM Coding Plan is its broad tool compatibility. Instead of locking you into a single IDE or CLI, z.ai provides API endpoints that work with the tools you already use:
Supported Coding Tools
The integration with Claude Code is particularly noteworthy. Anthropic's agentic CLI tool is one of the most powerful coding assistants available, and being able to point it at GLM-5 instead of Claude Opus gives you similar-quality outputs at a dramatically lower cost. Setup typically involves configuring the API base URL and key in your tool's settings to point to z.ai's endpoint.
Model Rollout Timeline
Zhipu AI is rolling out GLM-5 and GLM-5-Turbo across all plan tiers in stages:
| Plan | GLM-5 | GLM-5-Turbo |
|---|---|---|
| Max ($216/qtr) | Available Now | Available Now |
| Pro ($81/qtr) | Available Now | This March |
| Lite ($27/qtr) | This March | April 2026 |
Zhipu AI has updated the rollout schedule — both Pro and Lite users will get access to GLM-5 this March, with GLM-5-Turbo following for Pro users this month and Lite users in April (via @Zai_org on X).
Apply for Early Access
If you are on Pro or Lite and want early access before general availability:
- Pro (GLM-5-Turbo early access): Apply here →
- Lite (GLM-5 early access): Apply here →
Note: As an experimental version, GLM-5-Turbo is currently closed-source. All capabilities and findings will be incorporated into the next open-source model release.
GLM-5 vs GLM-5-Turbo: Which Should You Use?
| Feature | GLM-5 | GLM-5-Turbo |
|---|---|---|
| SWE-bench | 77.8 | Slightly lower |
| Response Speed | Standard | Faster |
| Best For | Complex refactors, debugging | Live coding, chat sessions |
| Reasoning Depth | Deeper | Balanced |
Think of GLM-5 as the "think harder" option and GLM-5-Turbo as the "work faster" option. For tasks that require deep analysis — large-scale refactoring, debugging complex issues, or generating architecture — use GLM-5. For day-to-day coding where you want quick, accurate completions, GLM-5-Turbo is the better choice.
Features by Plan Tier
Beyond model access, each tier unlocks additional capabilities:
- Lite — Core model access, basic tool compatibility, standard context windows
- Pro — Everything in Lite, plus Vision Analyze, Web Search, Web Reader, and extended context
- Max — Everything in Pro, plus Zread MCP integration, priority throughput, and highest rate limits
The Vision Analyze feature on Pro+ is useful for screenshot-to-code workflows and understanding UI mockups. Web Search and Web Reader let the model look up current documentation and APIs while coding. Zread MCP on Max provides deep document analysis capabilities.
Setup Guide: GLM-5-Turbo with Popular Coding Tools
Setting up the GLM Coding Plan is straightforward. You need two universal credentials from your z.ai dashboard:
https://open.z.ai/v1
https://api.z.ai/api/coding/paas/v4
Then configure your preferred tool below:
Claude Code Anthropic CLI · Anthropic Protocol
- 1Install Claude Code globally
- 2Export environment variables:
export ANTHROPIC_BASE_URL="https://open.z.ai/v1"
export ANTHROPIC_API_KEY="your-zai-key"
- 3Optionally edit
~/.claude/settings.jsonto map model names
{
"model": "claude-sonnet-4-20250514",
"modelAliases": {
"glm-5": "claude-sonnet-4-20250514",
"glm-5-turbo": "claude-haiku-3-20250414"
}
}
claude --model glm-5
Cursor IDE · OpenAI Protocol
- 1Open Cursor Settings → Models → Add Custom Model
- 2Set the provider to OpenAI API Key
- 3Enter your Base URL:
https://api.z.ai/api/coding/paas/v4
- 4Paste your z.ai API Key
- 5Set model name (must be uppercase):
GLM-5 (for full GLM-5)
GLM-5-TURBO (for GLM-5-Turbo)
Cline VS Code Extension · OpenAI Protocol
- 1Install Cline from the VS Code Marketplace
- 2Open Cline panel → Configure API Provider
- 3Select OpenAI Compatible
- 4Set Base URL:
https://api.z.ai/api/coding/paas/v4
- 5Enter your z.ai API Key
- 6Set model:
GLM-5orGLM-5-TURBO - 7Set context window to
200000
npx @z_ai/coding-helper Universal CLI Tool
- 1Run the helper (no install needed):
npx @z_ai/coding-helper
- 2Follow the interactive prompts — it auto-detects your installed tools
- 3It will configure your API key and base URL for each tool automatically
📌 Quick Reference — Which Endpoint?
| Tool | Protocol | Base URL |
|---|---|---|
| Claude Code | Anthropic | https://open.z.ai/v1 |
| Cursor | OpenAI | https://api.z.ai/api/coding/paas/v4 |
| Cline | OpenAI | https://api.z.ai/api/coding/paas/v4 |
| Windsurf / Others | OpenAI | https://api.z.ai/api/coding/paas/v4 |
The npx @z_ai/coding-helper tool eliminates the need for manual configuration entirely — it detects which coding tools you have installed and sets everything up for you in one command. For setup guides covering Windsurf, Aider, Copilot, Kilo Code, and more, see the official z.ai DevPack documentation.
The Bigger Picture: Zhipu AI's Rising Position
Zhipu AI's trajectory has been impressive. The GLM series has evolved from a solid Chinese-language model to a globally competitive coding platform in under two years:
- GLM-4.7-Flash — Open-source 30B MoE model with 200K context, proving Zhipu could deliver efficient architecture
- GLM-5 (Pony Alpha) — Stealth-released on OpenRouter, immediately recognized as "Opus-level" by the community before its identity was revealed
- GLM-5 + GLM-5-Turbo — Now officially available through the Coding Plan, with SWE-bench scores confirming top-tier capability
The Coding Plan itself represents a strategic shift. Instead of competing purely on model quality (which is increasingly a commodity), Zhipu is competing on value — more models, more tools, lower prices, and flexible API access. It's the same playbook that made Cloudflare, DigitalOcean, and Hetzner successful: deliver 80-90% of the capability at 20-30% of the cost.
Key Takeaway: GLM-5 at 77.8 SWE-bench is close enough to Claude Opus 4.5 (80.9) that for most coding tasks, the difference is imperceptible — but the price difference is substantial. The GLM Coding Plan starts at $9/month versus $20/month for Claude Pro, and gives you access to a broader tool ecosystem.
Should You Switch?
Here's who should consider the GLM Coding Plan:
- Cost-conscious developers who want Claude Opus-level coding without the Anthropic price tag
- Multi-tool users who switch between Claude Code, Cursor, Cline, and other agents
- Teams that need multiple seats and want to avoid per-seat costs of enterprise plans
- Experimenters who want to test a competitive alternative without committing to a long contract
And here's who should stick with native providers for now:
- Developers who need the absolute highest benchmark scores (Claude Opus 4.5 still leads at 80.9)
- Users deeply embedded in provider-specific features (e.g., Anthropic's extended thinking)
- Enterprise teams requiring SOC 2 compliance and dedicated support contracts
Conclusion
GLM-5 and GLM-5-Turbo represent a serious challenge to the established AI coding hierarchy. A SWE-bench score of 77.8, combined with aggressive pricing and broad tool compatibility, makes the GLM Coding Plan one of the most compelling options for developers in 2026. Zhipu AI has proven they can compete at the top level — now it's about whether the developer community is ready to look beyond Anthropic and OpenAI for their daily coding workflows.
If you're paying $20+/month for Claude Pro or ChatGPT Plus primarily for coding, the GLM Coding Plan is worth a serious look. At worst, you'll have a capable backup. At best, you'll cut your AI coding costs by 50-70% with minimal quality loss.
Published March 17, 2026 · Data sourced from z.ai/subscribe as of February 12, 2026
Human Notes
Got to mention, in the last few days of testing Turbo my impression this model understands me better and executes with less explanation/clarification versus the GLM-5 model. This could be a temporary impression though. Longer term experience from more users will tell better.