Z.ai · mid
Is GLM 5.2 good?
GLM 5.2 has been tested across 6 task areas. It's strongest at customer support and weakest at chef / home cooking. It's a mid-priced option ($3.93/1M tokens).
Strengths
Weak spots
How GLM 5.2 ranks, task by task
Rank is the position in each field; Rating is the absolute quality bar. A model can be rated "Excellent" yet sit mid-table when the whole field is strong — and vice-versa.
| Task area | Rank | Percentile | Rating |
|---|---|---|---|
| Customer Support | #12 of 104 |
|
Strong |
| Coding | #17 of 106 |
|
Strong |
| AI Strategy | #26 of 117 |
|
Strong |
| Content & Brand | #26 of 115 |
|
Strong |
| Creative & Comedy | #43 of 101 |
|
Elo |
| Chef / Home Cooking | #52 of 117 |
|
Usable |
Industry benchmarks
Standardized third-party scores, shown for context — these are independent of our real-task tests.
Headline vs. real-world
Source: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings). (2026-07-02) · Source: Design Arena (www.designarena.ai) via OpenRouter (openrouter.ai/rankings). (2026-07-02)
Like GLM 5.2, but…
Similar
- Kimi K2.7 Code Mid
- Claude Opus 4.6 Frontier
- Gemini 3.5 Flash Premium
Cheaper
- Gemini 3.1 Flash Lite Preview 55% cheaper
- Qwen3.5 Plus 2026-02-15 54% cheaper
- Kimi K2.5 39% cheaper
Smarter
- GPT-5.5 +14 pts
- Claude Opus 4.8 +13 pts
- Gemini 3.1 Pro Preview +10 pts
Frequently asked
Is GLM 5.2 any good?
GLM 5.2 places top-3 in 0 of 6 task areas we benchmarked. It performs best at Customer Support.
What is GLM 5.2 best at?
Its strongest task areas are Customer Support, Coding, AI Strategy.
Is there a cheaper alternative to GLM 5.2?
Gemini 3.1 Flash Lite Preview is 55% cheaper and stays competitive on quality across our benchmarks.
How we test & rank
Each model is scored on real tasks across 6 task areas by an LLM judge with deterministic checks. "Percentile" is this model's standing within each area's field; the cross-area figures are rank-based so quality and Elo scores are never mixed.
This page is Spring Prompt, running
We just did this for every model. Do it for your prompt.
The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.
- Generate test cases from your prompt — no eval set required to start.
- Compare models side by side with quality, cost and latency in one matrix.
- Optimise the winner until the scores say it's ready to ship.
Prompt × model results
12 test cases · 3 evals