2026年8月8日星期六

Zhipu GLM-5 Review 2026: Features, Pricing, Pros & Cons

Zhipu GLM-5 Review 2026: Features, Pricing, Pros & Cons

Zhipu GLM-5 Review 2026: Features, Pricing, Pros & Cons

Verdict first: GLM-5 is the strongest open-weights model of 2026 — a 744B-parameter MIT-licensed powerhouse whose coding rivals Claude Opus 4.5 at a tenth of the price. But it's slower than rivals and its price hikes are controversial. Production teams, take note.

Zhipu GLM-5 AI review cover image

Zhipu GLM-5 — the open-weights AI flagship from Z.ai

What Is Zhipu GLM?

Zhipu AI (rebranded as Z.ai) is one of China's earliest and best-known general-purpose AI companies, and its GLM series is the flagship of China's open-source models. In January 2026, Zhipu listed on the Hong Kong Stock Exchange. One month later, on February 11, 2026, it released the next-generation flagship model GLM-5, open-sourced the following day.

A fun detail: an anonymous model called "Pony Alpha" that had been trending on OpenRouter was confirmed to be GLM-5.

GLM-5 core specs:

  • 744B parameters MoE (~40B active), double the previous GLM-4.7
  • 200K context window (~200K tokens), up to 128K output
  • DeepSeek Sparse Attention (DSA) + Multi-Token Prediction (MTP)
  • Trained on 28.5 trillion tokens
  • MIT license — free commercial use
  • Trained entirely on 100,000 Huawei Ascend 910B chips (zero NVIDIA hardware)

Positioning shift: from "Vibe Coding" to "Agentic Engineering" — focused on complex systems engineering and long-horizon agent tasks.

Key Features

1. Top-Tier Coding (#1 Open Source)

Officially aligned with Claude Opus 4.5 and above Gemini 3 Pro:

  • SWE-bench Verified: 77.8% — #1 among open-source models
  • Terminal-Bench 2.0: 56.2 — open-source SOTA
  • Chatbot Arena Code: 1449 Elo — #1 open source, #6 overall
  • Strong at multi-file reasoning, stack-trace debugging, and agentic terminal workflows

2. Long-Horizon Agent Ability

Top open-source performance on BrowseComp (web retrieval), MCP-Atlas (tool calling), and τ-Bench (complex multi-tool planning). The "Agentic Engineering" positioning pays off.

3. Office Document Handling

Can agentically process .docx, .pdf, and .xlsx files and deliver results — including natural-language spreadsheet manipulation via an Excel plugin. It does the work, not just instructions.

4. Z Code Tool

A developer tool that drives multi-agent concurrent coding, debugging, and preview via natural language — even remote control of a desktop AI from your phone.

5. Full Domestic-China Compute Stack

Deep adaptation across seven Chinese chip platforms (Huawei Ascend, Moore Threads, Cambricon, Kunlunxin, Muxi, Sunway, Hygon) — outside US export-control reach.

6. "Preserved Thinking" Mode

Maintains reasoning state across 50+ conversation turns — a differentiated feature that keeps long conversations coherent.

7. Full Model Family

Model Released Focus API (per 1M tokens)
GLM-5 Feb 2026 Flagship base (text-only) $1.00 in / $3.20 out
GLM-5-Turbo Mar 2026 Agent workflows $1.20 in / $4.00 out
GLM-5V-Turbo Apr 2026 Vision + coding (multimodal) $1.20 in / $4.00 out
GLM-5.1 Apr 2026 Long-horizon agentic coding $1.40 in / $4.40 out

Pricing: API & Plans (2026)

Model Input / Million tokens Output / Million tokens Price change
GLM-5 4 yuan 18 yuan Input +100%, output +125%
GLM-5-Code 6 yuan 28 yuan Input +200%, output +250%
Zhipu GLM-5 API pricing table per million tokens

GLM-5 API pricing (per million tokens)

Subscriptions & cards:

  • GLM Coding Plan: overall +30% starting, first-purchase discount removed; existing subscribers unchanged. GLM Coding Max: 469 yuan/month (auto-renew, +215% vs the old Pro)
  • Overseas: Coding plan +30–60%, API calls +67–100%
  • Turbo monthly cards: 39 yuan for 35M tokens (experience), 99 yuan for 100M tokens (advanced)

⚠️ Price-hike controversy: In a year when Chinese models are broadly cutting prices, Zhipu raised them — citing commercialization needs. Third-party tests put real per-1,000-call cost at ~61.2 yuan, up ~16.6% vs the previous generation. Views are split.

What We Liked (Test Results)

✅ Capability Ceiling of Open-Weight Models

Artificial Analysis Intelligence Index: 50 — #1 among all open-weights models (beating Kimi K2.5's 47), #4 overall, trailing only Claude Opus 4.6 (53) and GPT-5.2 (51). GLM-5 is the closest any open model gets to the closed frontier.

✅ Hard Reasoning Credentials

  • Humanity's Last Exam: 50.4% — beats GPT-5.2 and Claude Opus 4.5
  • GPQA-Diamond 86.0%, MMLU-Pro 85.7%, AIME 2026 95.8%
  • Vending-Bench simulation: $4,432 account balance — best of all open-weights models

✅ Strong Real-World Coding

In Kilo Code's head-to-head, GLM-5 scored 90.5/100 (vs MiniMax M2.5's 88.5) with a perfect score on API implementation. Excels at multi-file reasoning, stack-trace debugging, and agentic terminal workflows.

✅ Hallucination Control Greatly Improved

Zhipu claims a 35-point improvement in hallucination rates over GLM-4.5 — meaningful for accuracy-critical production work.

✅ Cheap + Open Source

MIT license with full self-hosting and fine-tuning. At ~$1/M input, it's less than a tenth of Claude Opus 4.6's $15/M.

What We Didn't Like

❌ Slower Than Rivals

In Kilo Code's test, GLM-5 took 44 minutes vs MiniMax M2.5's ~22 minutes. It's not optimized for speed/cost-efficiency in agent loops.

❌ Makes "Extra" Changes

Sometimes goes beyond minimal fixes — one test even broke API compatibility. Teams needing strict change control should watch it.

❌ Text-Only Base Model

The base GLM-5 doesn't support vision; you need the separate GLM-5V-Turbo for multimodal. One model won't do everything.

❌ Third-Party Chinese Score Slipped

In a third-party ReLE test (~15,000 questions), GLM-5 scored 71.0% — slightly down from GLM-4.7's 71.5%, ranking #6 → #9. Agent/tool-calling (-3.9%) and instruction-following (-1.7%) declined, contrasting with official claims.

❌ Price Hike & Distillation Controversies

Release came with "distilled Claude data" claims and a price hike that upset some users.

GLM vs DeepSeek vs Claude (2026 Comparison)

Dimension Zhipu GLM-5 DeepSeek V4 Claude Opus 4.6 Kimi K2.5
Open source ✅ MIT
Parameters 744B (~40B active) High High
Context 200K 128K 200K High
Intelligence Index 50 (#1 open) 53 47
Coding (SWE-bench) 77.8% (#1 open) Excellent Top tier Strong
Input price / M ~$1.00 Very low $15 Medium
Multimodal Via V variant Text-focused Text-focused
Standout Domestic-CN compute Reasoning king All-rounder Long context

How to choose:

  • Strongest open-weights capability → Zhipu GLM-5
  • Deep reasoning & cost → DeepSeek V4
  • Absolute capability ceiling → Claude Opus
  • Long context + generous free tier → Kimi

Who Should Use Zhipu GLM?

✅ Good fit

  • Open-source heavy users: self-hosting, fine-tuning, full model control
  • Production-grade coding: code quality and factual accuracy matter more than speed
  • Teams under export-control constraints: trained on domestic Chinese compute
  • Office document automation: .docx/.pdf/.xlsx delivered directly
  • Budget-conscious power users: near-frontier capability at a tenth of Claude's price

❌ Poor fit

  • Speed-sensitive users: slow agent-loop iteration hurts real-time interaction
  • Native multimodal needs: base model is text-only; use the V variant
  • Strict change control: can make changes beyond the minimal fix
  • Price-sensitive users: hiking prices against the market trend

Final Verdict: Is Zhipu GLM-5 Worth It?

Strongest open source. Production first choice. But accept the price hike and slower speed.

  • If you're a developer or enterprise, GLM-5's #1 open-weights Intelligence Index + MIT license + top coding makes it the most compelling open-source option of 2026.
  • If you're a speed-sensitive agent developer, weigh its slower iteration against rivals.
  • If you're an individual user, the web version is free, or grab the 39-yuan experience card.

GLM-5's core strengths: strongest open capability, cheap, domestic-CN compute, top coding, low hallucination. Its weaknesses: slower, text-only base, price-hike controversy, third-party Chinese score dip. As the "pinnacle of open-source AI," GLM-5 proves Chinese models' dominance on the open track.

Scorecard: Overall 8.4/10 · Open-weights Capability 9.5 · Coding 8.8 · Value 8.0 · Speed 6.0 · Multimodal 6.0 · Documentation 7.0

Frequently Asked Questions

1. Is Zhipu GLM-5 free?

Model weights are completely free (MIT) for commercial self-hosting. The web interface is free; the cloud API is pay-per-token with 39/99-yuan monthly cards.

2. How much does GLM-5 cost?

API: GLM-5 at 4 yuan input / 18 yuan output per million tokens; GLM-5-Code at 6 / 28 yuan. GLM Coding Max subscription: ~469 yuan/month.

3. Is GLM better than DeepSeek?

GLM-5 wins on open-weights capability ceiling, coding, and office file handling. DeepSeek V4 wins on speed, reasoning, and cost. Top capability → GLM; fast and cheap → DeepSeek.

4. Is GLM-5 open source? Commercial use?

Yes — MIT license: free commercial use, fine-tuning, and retraining.

5. Why did GLM prices increase?

Against the trend of price cuts in Chinese AI, Zhipu raised prices, citing commercialization and sustainability needs. Existing subscribers are unchanged; the move is controversial.

6. Does GLM-5 support multimodal?

The base model is text-only; vision requires the separate GLM-5V-Turbo variant.

If you found this Zhipu GLM-5 review useful, check out our other hands-on AI reviews:

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Disclaimer: This article is based on public information and hands-on media tests from February–August 2026. Pricing and features may change; always confirm with the official source. This content is provided for information purposes only and does not constitute a purchase recommendation.

References & Further Reading

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