Qwen (Alibaba) logoOur pick
A
8.8/10

Qwen (Alibaba)

VS
GLM / Z.ai (Zhipu AI) logo
A
8.0/10

GLM / Z.ai (Zhipu AI)

Qwen (Alibaba) vs GLM / Z.ai (Zhipu AI)

Tier-list head-to-head. Qwen (Alibaba) takes the A-tier slot — here's the breakdown.

Last reviewed April 27, 2026· sweep-fresh

Spec sheet

At a glance

 Qwen (Alibaba) logoQwen (Alibaba)GLM / Z.ai (Zhipu AI) logoGLM / Z.ai (Zhipu AI)
TierA-tierwinA-tier
Overall score8.8 / 10win8.0 / 10
Free tierYesYes
Starting price$0$0
Best forDevelopers who want frontier-tier open weights with Apache 2.Teams that need genuine MIT-licensed frontier open weights with no commercial strings.
Last reviewed2026-04-272026-04-17

Head-to-head

Score showdown

Rated 1-10 on the same rubric across all 130 tools we cover.

Ease of use+0.5 Qwen (Alibaba)
Qwen (Alibaba)
7.0
GLM / Z.ai (Zhipu AI)
6.5
Output quality+0.5 Qwen (Alibaba)
Qwen (Alibaba)
9.0
GLM / Z.ai (Zhipu AI)
8.5
Value+1.0 Qwen (Alibaba)
Qwen (Alibaba)
10.0
GLM / Z.ai (Zhipu AI)
9.0
Features+1.0 Qwen (Alibaba)
Qwen (Alibaba)
9.0
GLM / Z.ai (Zhipu AI)
8.0
Overall+0.8 Qwen (Alibaba)
Qwen (Alibaba)
8.8
GLM / Z.ai (Zhipu AI)
8.0

Vibe check

Personality & tone

How each tool actually sounds when you talk to it.

Qwen (Alibaba)

The multilingual Alibaba all-rounder

Tone
Helpful, verbose, and notably strong in Chinese and other non-English languages. Qwen is chattier than Mistral or DeepSeek and tends toward structured, multi-section replies.
Quirks
Best-in-class at Chinese -- occasionally switches to Mandarin mid-response for technical or cultural topics even when prompted in English. Political refusal patterns mirror other Chinese models on China-specific topics.
GLM / Z.ai (Zhipu AI)

The Z.ai research model

Tone
Academic and structured. GLM-4.6's instruction-tuned chat tends toward outlined, bullet-heavy responses and leans on established phrasing rather than casual voice.
Quirks
Strong on multilingual and tool use, weaker at playful conversation. Smaller community fine-tuning ecosystem than Llama or Qwen, so fewer 'flavored' checkpoints to pick from -- most deployments run the base instruction-tune.

What you'll pay

Pricing snapshot

Look past the headline number -- entry-tier limits drive most cost surprises.

Qwen (Alibaba) logo

Qwen (Alibaba)

Free tier available

  • Self-hosted (Free)$0
  • API (OpenRouter / Alibaba Cloud)$0.12/per 1M input tokens
  • API (Qwen 3.6-Plus flagship, Mar 30 2026)$0.90/per 1M input tokens
GLM / Z.ai (Zhipu AI) logo

GLM / Z.ai (Zhipu AI)

Free tier available

  • Self-hosted (Free)$0
  • API (Z.ai / OpenRouter, GLM-5.1)$0.60/per 1M input tokens

Benchmark Head-to-Head

Qwen3.5-397B MoE vs GLM-5.1 (744B MoE / 40B active)

BenchmarkQwen (Alibaba)GLM / Z.ai (Zhipu AI)
MMLU-Pro83.5%81.2%
GPQA Diamond78.2%74.5%
HumanEval92.5%89.1%
SWE-Bench Verified69.4%64.2%

The decision

Which should you pick?

Use-case anchors and category strengths, side by side.

Our pick
Qwen (Alibaba) logo

Pick Qwen (Alibaba)if…

A
8.8/10
  • Better value at the price you'll actually pay (10.0/10 on value)
  • More feature surface area for power users who'll use the depth
  • Developers who want frontier-tier open weights with Apache 2.
  • Qwen3-Coder-Next is arguably the best local coding model.
  • Stronger on (+5.2% on SWE-Bench Verified)

Developers who want frontier-tier open weights with Apache 2.0 licensing. Qwen3-Coder-Next is arguably the best local coding model; Qwen3.5-397B is a top-3 open generalist.

Visit Qwen (Alibaba)
GLM / Z.ai (Zhipu AI) logo

Pick GLM / Z.ai (Zhipu AI)if…

A
8.0/10
  • Teams that need genuine MIT-licensed frontier open weights with no commercial strings.
  • Especially strong for agentic workflows and vision (GLM-4.

Teams that need genuine MIT-licensed frontier open weights with no commercial strings. Especially strong for agentic workflows and vision (GLM-4.6V).

Visit GLM / Z.ai (Zhipu AI)

Bottom line

The verdict

Qwen (Alibaba) edges out GLM / Z.ai (Zhipu AI) by 0.8 points (8.8 vs 8.0) -- a A-tier vs A-tier split that's narrow but real. Not a blowout; both belong on a shortlist. The score gap shows up most clearly in the categories that matter for Qwen (Alibaba)'s strengths, so if those categories are your priority, the lead translates.

Pricing-wise, both tools have a free tier (Qwen (Alibaba) starts $0, GLM / Z.ai (Zhipu AI) starts $0), so you can test either without committing. Compare what each free tier actually unlocks -- usage caps, model access, and feature gates differ a lot more than the headline price suggests, especially as both vendors have tightened limits in 2026.

By use case: pick Qwen (Alibaba) when developers who want frontier-tier open weights with apache 2. Pick GLM / Z.ai (Zhipu AI) when teams that need genuine mit-licensed frontier open weights with no commercial strings. The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in Qwen (Alibaba)'s lane, the tier-list ranking and the use-case fit point the same direction; if you're in GLM / Z.ai (Zhipu AI)'s lane, the score gap matters less than the fit.

Bottom line: Qwen (Alibaba) is the safer default for most readers, but GLM / Z.ai (Zhipu AI) is competitive enough that the tie-breaker is your specific workload, not the spec sheet.

AIToolTier verdictLast reviewed April 27, 2026Tier rubric · ease of use, output, value, features

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Built from our daily AI-tool sweep, last touched April 27, 2026. Honest tier-list reviews — no affiliate-link pieces disguised as advice. See the rubric or how we review.