GLM-5.2 API Pricing
Zhipu AI · released 2026-06-13
Also searched as: GLM 5.2 pricing
GLM-5.2 price
0.120¢ / 1K
0.418¢ / 1K
0.194¢ / 1K
Compare the two price sources — models.dev repository, docs.z.ai (cited by LiteLLM)
Sources disagree; check the official site
Official list price from Zhipu AI, as recorded by models.dev
Official price changed on 2026-11-06: input $1.40 → $1.1952 (-14.6%) · output $4.40 → $4.1831 (-4.9%) per 1M tokens. All official price changes
What it actually costs
| Workload | Tokens | Cost |
|---|---|---|
| Short chat reply | 500 in / 300 out | 0.185¢ |
| RAG query | 4,000 in / 500 out | 0.687¢ |
| Long document summary | 50,000 in / 1,000 out | $0.0639 |
| Code review of a 2k-line file | 30,000 in / 2,000 out | $0.0442 |
| 1,000 chat replies/day for 30 days | 30,000 × (500 in / 300 out) | $55.57 |
Cost = (input tokens ÷ 1,000,000 × $1.1952) + (output tokens ÷ 1,000,000 × $4.1831).
Benchmarks
| Benchmark | Value | Source | As of |
|---|---|---|---|
| Epoch Capabilities Index (ECI) | 153.0 | epoch | 2026-06-16 |
| Epoch Mock AIME accuracy | 86.4% | epoch | 2026-06-16 |
| Epoch FrontierMath (T1–3) accuracy | 59.2% | epoch | 2026-06-16 |
| Arena text rating | 1475 | arena | 2026-10-28 |
| Arena coding rating (human preference votes, not task accuracy) | 1514 | arena | 2026-10-28 |
| Arena math rating | 1487 | arena | 2026-10-28 |
| Arena WebDev rating | 1606 | arena | 2026-10-28 |
LiveBench
Shown on this model page only — LiveBench data never appears in any leaderboard, comparison table or structured data on this site.
| LiveBench metric | Value | As of |
|---|---|---|
| LiveBench Global Average | 73.2 | 2026-06-25 |
| LiveBench Reasoning | 78.6 | 2026-06-25 |
| LiveBench Coding | 79.7 | 2026-06-25 |
| LiveBench Agentic Coding | 51.8 | 2026-06-25 |
| LiveBench Mathematics | 89.8 | 2026-06-25 |
| LiveBench Data Analysis | 73.7 | 2026-06-25 |
| LiveBench Language | 76.2 | 2026-06-25 |
| LiveBench Instruction Following | 62.3 | 2026-06-25 |
LiveBench leaderboard (livebench.ai, github.com/LiveBench/new-livebench), CC BY-SA 4.0 — livebench.ai · github.com/LiveBench/new-livebench · CC BY-SA 4.0
Similar ECI, lower price
| Model | ECI | Blended $/1M |
|---|---|---|
| GLM-5.3-Flash | 153.6 | $0.1942 |
| GPT-6 Luna | 156.7 | $0.20 |
| GPT-5.6 Luna | 156.8 | $0.45 |
| DeepSeek V4 Pro 0813 | 155.9 | $0.99 |
| Mistral Large 4 | 154.7 | $1.05 |
More from Zhipu AI
| Model | Released | Blended $/1M |
|---|---|---|
| GLM-5.3-Flash | 2026-08-26 | $0.1942 |
| GLM-5.3 | 2026-08-14 | $1.9421 |
| GLM-5.1 | 2026-04-07 | $1.5686 |
| GLM-5V-Turbo | 2026-04-01 | $1.3819 |
| GLM-5-Turbo | 2026-03-16 | $1.3819 |
| GLM-5 | 2026-02-12 | $1.1205 |
| GLM-4.7-FlashX | 2026-01-19 | $0.1681 |
| GLM-4.7-Flash | 2026-01-19 | — |
Count tokens & estimate cost for GLM-5.2 See GLM-5.2 on the leaderboard
Prices: Zhipu AI's official list price as recorded by models.dev; benchmarks: see sources below; last synced 2026-11-06.
Compare GLM-5.2 with …
FAQ
Who develops GLM-5.2?
GLM-5.2 is developed by Zhipu AI, released 2026-06-13.
How much does GLM-5.2 cost per million tokens?
GLM-5.2 costs $1.1952 per 1M input tokens and $4.1831 per 1M output tokens ($1.9421 blended), per Zhipu AI's official list price as recorded by models.dev.
What is the GLM-5.2 API price?
The GLM-5.2 API price is $1.1952 per 1M input tokens and $4.1831 per 1M output tokens ($1.9421 per 1M blended).
How much does GLM-5.2 cost for a typical request?
A short chat reply (500 in / 300 out tokens) costs about 0.185¢ on GLM-5.2, at $1.1952/1M input and $4.1831/1M output.
Is GLM-5.2 free?
GLM-5.2's official API list price is $1.1952 per 1M input tokens and $4.1831 per 1M output tokens. This site tracks list prices only, not free tiers or trial credits — check Zhipu AI's site for those.
How does GLM-5.2 rank on benchmarks?
GLM-5.2 scores 153.0 on the Epoch Capabilities Index (ECI), ranking #48 of 107 models we track with a published ECI score.
Is there a cheaper model with a similar ECI to GLM-5.2?
Yes — GLM-5.3-Flash scores a similar ECI (153.6) at $0.1942/1M blended, versus $1.9421/1M for GLM-5.2.
Where does this data come from?
Pricing for GLM-5.2 comes from models.dev and LiteLLM (open MIT-licensed catalogs); benchmark scores come from Epoch AI and LMArena (open CC BY 4.0 licenses); LiveBench scores (below) are CC BY-SA 4.0 — see /data-sources/. Last synced 2026-11-06.