GLM / Z.ai (Zhipu AI) logoOur pick
A
8.0/10

GLM / Z.ai (Zhipu AI)

VS
Mistral AI logo
B
7.5/10

Mistral AI

GLM / Z.ai (Zhipu AI) vs Mistral AI

Tier-list head-to-head. GLM / Z.ai (Zhipu AI) takes the A-tier slot — here's the breakdown.

Last reviewed May 4, 2026· sweep-fresh

Spec sheet

At a glance

 GLM / Z.ai (Zhipu AI) logoGLM / Z.ai (Zhipu AI)Mistral AI logoMistral AI
TierA-tierwinB-tier
Overall score8.0 / 10win7.5 / 10
Free tierYesYes
Starting price$0$0
Best forTeams that need genuine MIT-licensed frontier open weights with no commercial strings.Developers who want cheap, high-quality API access.
Last reviewed2026-04-172026-05-04

Head-to-head

Score showdown

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

Ease of use+0.5 GLM / Z.ai (Zhipu AI)
GLM / Z.ai (Zhipu AI)
6.5
Mistral AI
6.0
Output quality+0.5 GLM / Z.ai (Zhipu AI)
GLM / Z.ai (Zhipu AI)
8.5
Mistral AI
8.0
ValueTie
GLM / Z.ai (Zhipu AI)
9.0
Mistral AI
9.0
Features+1.0 GLM / Z.ai (Zhipu AI)
GLM / Z.ai (Zhipu AI)
8.0
Mistral AI
7.0
Overall+0.5 GLM / Z.ai (Zhipu AI)
GLM / Z.ai (Zhipu AI)
8.0
Mistral AI
7.5

Vibe check

Personality & tone

How each tool actually sounds when you talk to it.

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.
Mistral AI

The European pragmatist

Tone
Efficient, terse, and slightly blunt. Mistral answers in fewer words than Claude or ChatGPT, especially on factual questions, and rarely hedges or softens its take.
Quirks
Trained with less Anglocentric data than Llama, so it handles French, German, and Spanish notably better than US-origin models. Refusal rates are lower than ChatGPT or Gemini on most gray-area prompts.

What you'll pay

Pricing snapshot

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

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
Mistral AI logo

Mistral AI

Free tier available

  • Le Chat (Free)$0
  • API (Mistral Small 4)$0.20/per 1M tokens
  • API (Mistral Medium 3.5)$1.5 / $7.5/per 1M tokens (input/output)

Benchmark Head-to-Head

GLM-5.1 (744B MoE / 40B active) vs Mistral Medium 3.5 (vendor-published; third-party verification pending)

BenchmarkGLM / Z.ai (Zhipu AI)Mistral AI
HumanEval89.1%92%
SWE-Bench Verified64.2%77.6%

The decision

Which should you pick?

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

Our pick
GLM / Z.ai (Zhipu AI) logo

Pick GLM / Z.ai (Zhipu AI)if…

A
8.0/10
  • More feature surface area for power users who'll use the depth
  • 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)
Mistral AI logo

Pick Mistral AIif…

B
7.5/10
  • Developers who want cheap, high-quality API access.
  • Also strong for multilingual applications and European companies that prefer an EU-based AI provider for data residency.
  • Stronger on (+13.4% on SWE-Bench Verified)

Developers who want cheap, high-quality API access. Also strong for multilingual applications and European companies that prefer an EU-based AI provider for data residency.

Visit Mistral AI

Bottom line

The verdict

GLM / Z.ai (Zhipu AI) edges out Mistral AI by 0.5 points (8.0 vs 7.5) -- a A-tier vs B-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 GLM / Z.ai (Zhipu AI)'s strengths, so if those categories are your priority, the lead translates.

Pricing-wise, both tools have a free tier (GLM / Z.ai (Zhipu AI) starts $0, Mistral 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 GLM / Z.ai (Zhipu AI) when teams that need genuine mit-licensed frontier open weights with no commercial strings. Pick Mistral AI when developers who want cheap, high-quality api access. The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in GLM / Z.ai (Zhipu AI)'s lane, the tier-list ranking and the use-case fit point the same direction; if you're in Mistral AI's lane, the score gap matters less than the fit.

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

AIToolTier verdictLast reviewed May 4, 2026Tier rubric · ease of use, output, value, features

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Built from our daily AI-tool sweep, last touched May 4, 2026. Honest tier-list reviews — no affiliate-link pieces disguised as advice. See the rubric or how we review.