Qwen3.8-Max vs GLM-5.3
Alibaba's largest 2026 flagship against Z.ai's coding- and agent-tuned model — parameters, pricing, and benchmarks compared.
Updated August 28, 2026 · Independent comparison — Qwen3.8-Max, GLM-5.3 are separate products.
Qwen3.8-Max
Alibaba's 2.4T flagship Qwen model
Qwen3.8-Max is Alibaba's flagship 2026 Qwen release, a 2.4-trillion-parameter Mixture-of-Experts model with roughly 95B active parameters and native text and image input. It serves a 1M-token context with about 128K output and is priced at $2.00/$6.00 per million tokens ($0.25 cache read; a 50% night-rate credit burn applies 22:00-08:00 UTC+8 on the Token Plan), reachable through QwenCloud/DashScope with OpenAI- and Anthropic-compatible endpoints. Alibaba has not published a full benchmark table and claims only that it ranks "second only to Fable 5" on internal evaluations, so independent verification is still pending. The flagship is API-first; an open-weight release was claimed for the week after launch but remains unconfirmed.
GLM-5.3
Z.ai's agentic coding & cybersecurity model
Z.ai's GLM-5.3 is a coding, agentic, and cybersecurity model built on the GLM-5 base and improved through large-scale post-training. On Z.ai's own tests it reaches 28.3 on Terminal-Bench 3.0 (open-source SOTA), 66.9 on DeepSWE v1.1, and 28.5 on Agents' Last Exam, and serves 128K output with always-on reasoning and function calling. It's priced at $1.40/$4.40 per million tokens ($0.26 cache read) through Z.ai's API (OpenAI and Anthropic protocols) or the flat-rate GLM Coding Plan. Its 744B-total / 40B-active weights are scheduled to publish on Hugging Face on 2026-08-28 (the Flash variant is already public); a raw context-window figure isn't published, though the Coding-Plan [1m] endpoint exposes a 1M-token window.
Bottom line
Alibaba's largest 2026 flagship against Z.ai's coding- and agent-tuned model — parameters, pricing, and benchmarks compared. Choose Qwen3.8-Max if you want Alibaba's largest 2026 flagship for broad, general-purpose work; choose GLM-5.3 if you want a coding- and agentic-tuned model with published open-source benchmark SOTA.
Model & Weights
| Feature | Qwen3.8-Max | GLM-5.3 |
|---|---|---|
| Developer | Alibaba (Qwen) | Z.ai (Zhipu) |
| Parameters | 2.4T total / ~95B active (MoE) | 744B total / 40B active (MoE) |
| Open weights | API-first; open-weight release claimed but unconfirmed | HF release scheduled 2026-08-28 (Flash variant already public) |
| Multimodal input | Text, image (video claimed) | Not stated (text) |
| Positioning | 2026 general flagship | Coding + agentic + cybersecurity |
Context & Output
| Feature | Qwen3.8-Max | GLM-5.3 |
|---|---|---|
| Context window | 1M tokens | Not published (1M via Coding-Plan [1m] endpoint) |
| Max output | ~128K tokens | 128K tokens |
| Reasoning | Not stated | Always on (low / high / max) |
| Function calling | Via Qwen API | ✓ |
Pricing (per 1M tokens)
| Feature | Qwen3.8-Max | GLM-5.3 |
|---|---|---|
| Input | $2.00 | $1.40 |
| Output | $6.00 | $4.40 |
| Cache read | $0.25 | $0.26 |
| Subscription plan | Qwen Token Plan (50% night rate) | GLM Coding Plan (Lite / Pro / Max) |
Coding & Benchmarks
| Feature | Qwen3.8-Max | GLM-5.3 |
|---|---|---|
| Official coding table | None published | Terminal-Bench 3.0 28.3; DeepSWE 66.9 |
| Agents' Last Exam | Not published | 28.5 |
| Vendor claim | 'Second only to Fable 5' (internal) | SOTA open-source on Terminal-Bench 3.0 |
| Independent verification | Pending | Vendor benchmarks published |
| Coding specialization | General flagship | Coding / agentic tuned |
Access & Ecosystem
| Feature | Qwen3.8-Max | GLM-5.3 |
|---|---|---|
| Direct API | QwenCloud / DashScope (OpenAI + Anthropic) | Z.ai (OpenAI + Anthropic protocols) |
| Also on | ClinePass, OpenCode Go, Token Plan | GLM Coding Plan, ClinePass, OpenCode Go |
| Self-host full model | ✗ | At/after 2026-08-28 |
| Released | August 3, 2026 | August 2026 |
The Verdict
Choose Qwen3.8-Max if...
- ✓You want Alibaba's largest 2026 flagship for broad, general-purpose work.
- ✓You need native image input alongside text in a single model.
- ✓You want a published, verified per-token price ($2/$6) with a night-rate discount.
- ✓You're building on QwenCloud / DashScope with OpenAI- or Anthropic-compatible endpoints.
- ✓You don't need a coding-specialized model or downloadable weights.
Choose GLM-5.3 if...
- ✓You want a coding- and agentic-tuned model with published open-source benchmark SOTA.
- ✓You want lower per-token pricing ($1.40/$4.40) or a flat-rate GLM Coding Plan.
- ✓You want native Anthropic-protocol endpoints for Claude Code.
- ✓You want downloadable weights soon (a 744B/40B-active MoE, publishing 2026-08-28).
- ✓You need cybersecurity-analysis and long-horizon coding, not a general flagship.
Frequently Asked Questions
What is the difference between Qwen3.8-Max and GLM-5.3?
Qwen3.8-Max is Alibaba's flagship 2026 Qwen release, a 2.4-trillion-parameter Mixture-of-Experts model with roughly 95B active parameters and native text and image input. Z.ai's GLM-5.3 is a coding, agentic, and cybersecurity model built on the GLM-5 base and improved through large-scale post-training.
How much do Qwen3.8-Max and GLM-5.3 cost?
Qwen3.8-Max: $2.00. GLM-5.3: $1.40. See the pricing table above for full plan details.
Should I choose Qwen3.8-Max or GLM-5.3?
Choose Qwen3.8-Max if you want Alibaba's largest 2026 flagship for broad, general-purpose work. Choose GLM-5.3 if you want a coding- and agentic-tuned model with published open-source benchmark SOTA.
1DevToolDrive either lab's model from one workspace
Qwen3.8-Max and GLM-5.3 both expose OpenAI- and Anthropic-compatible APIs, so either can back a coding agent. 1DevTool runs Claude Code, Codex CLI, Gemini CLI, Cline, and OpenCode side by side in persistent terminals — bring a QwenCloud key or a GLM Coding Plan key, switch per task, and use the built-in HTTP client, 13-engine database client, and embedded browser. One-time $29, no subscription.