z-ai
Model Categories
Pricing Range · $/1M input tokens
Open Source Ratio
All z-ai Models23 total
| #▲ | Model | Avg | ANLI? | APEX-Agents? | ARC AI2? | ARC-AGI? | ARC-AGI-2? | aider poly? | aider edit | aa critpt | aa gdpval | aa gpqa di | aa humanit | aa ifbench | aa long co | aa mmmu pr | aa scicode | aa termina | aa tau2 be | aa agentic? | aa coding ? | aa quality | seal audio | seal audio | seal audio | BBH? | hf bbh | Balrog? | C-Eval | CMMLU | CSQA2 | CadEval? | charxiv re? | charxiv re? | arena elo | arena elo | chess puzz? | Cl Bench | cl bench l | Cybench? | deepresear? | Deepswe | Dtbench | Ebr Bench | EnigmaEval | Exploitbench | fiction li? | Fortress | frontierma? | frontierma? | frontierma | frontierma | Frontiercode | Frontierswe | furniture | GPQA | GPQA diamond? | GSM8K? | GSO-Bench? | Gdpval | GeoBench? | graphwalks? | HELM · GPQA | helm ifeva | helm mmlu | helm omni | helm wildb | HLE? | hle tools | HellaSwag? | seal human | seal human | IFEval | jp jcommon | JHumanEval | JMMLU | JNLI | JSQuAD | LAMBADA? | jp overall | lech mazur? | livebench | livebench | livebench | livebench | livebench | livebench | livebench | livebench | Lmca | MASK | MATH Level 5 | MATH level 5? | MCP Atlas | MMLU? | MMLU-PRO | MMMLU | mmmlu ar | mmmlu bn | mmmlu zh | mmmlu fr | mmmlu de | mmmlu hi | mmmlu id | mmmlu it | mmmlu ja | mmmlu ko | mmmlu pt | mmmlu es | mmmlu sw | mmmlu yo | MUSR | metr time | Mirrorcode | seal multi | MultiNRC | mystery ga | OSWorld? | otis mock ? | OpenBookQA? | oc aime202 | oc gpqa di | oc hle | oc ifeval | oc livecod | oc mmlu pr | Osworld 2 0 | PIQA? | posttrainb | seal pro r | seal pro r | Proofbench | seal prope | remote lab | seal remot | seal swe a | seal swe a | seal swe b | seal swe b | swe bench ? | swe bench ? | swe bench | swe bench | swe bench | SciPredict | ScienceQA? | SimpleBench? | simpleqa v? | SpireClimb | surface ev | terminal b? | the agent ? | TriviaQA? | TutorBench | USAMO | VISTA | VPCT? | VideoMME? | seal visua | WeirdML? | WeirdML v3 | Winogrande? | $/1M in | Context | Released |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 72.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1411.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 85.8 | 79.5 | 16.9 | 85.4 | 65.0 | 82.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.60 | 131K | Jul 251y ago | |
| 2 | 64.4 | - | 45.2 | - | 77.0 | 22.8 | - | - | - | - | - | - | - | - | - | - | - | - | 43.1 | 68.8 | 51.1 | - | - | - | - | - | - | - | - | - | - | - | - | 1593.3 | 1471.0 | 17.9 | - | - | - | - | 43.8 | 89.3 | 9.5 | - | - | - | - | - | - | 29.3 | 62.3 | 24.5 | - | - | - | 92.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 73.3 | 79.7 | 73.7 | 62.3 | 76.2 | 89.8 | 76.2 | 78.6 | 53.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 10.8 | - | 86.4 | - | - | - | - | - | - | - | - | - | 31.7 | - | - | 35.0 | - | - | - | - | - | - | - | - | 78.7 | - | - | - | - | - | 50.6 | 34.2 | - | 55.6 | - | - | - | - | - | - | - | - | - | 70.1 | - | - | $0.01 | 1.0M | Jun 264mo ago | |
| 3 | 64.2 | - | 17.2 | - | 44.7 | 4.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1434.0 | 1457.6 | 10.0 | 18.7 | - | - | - | - | - | - | - | - | - | - | 16.4 | 2.1 | - | - | - | - | - | - | 83.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 55.0 | 73.6 | 67.9 | 55.3 | 77.5 | 83.5 | 68.8 | 69.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 80.0 | - | 95.8 | 85.3 | 28.1 | 93.2 | 86.2 | 85.2 | - | - | 13.9 | - | - | - | - | - | - | - | - | - | - | - | 72.1 | - | - | - | - | - | 43.8 | - | - | - | 52.4 | - | - | - | - | - | - | - | - | 48.2 | - | - | $1.00 | 205K | Feb 269mo ago | |
| 4 | 63.0 | - | 56.6 | - | - | - | - | - | 19.1 | 57.5 | 91.7 | 42.3 | - | 79.7 | - | 59.0 | - | - | - | - | 44.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 33.7 | - | - | - | - | 69.0 | 79.5 | - | - | - | - | - | - | - | 29.3 | 72.4 | 40.1 | 30.2 | - | - | 91.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 65.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 26.2 | - | 91.1 | - | - | - | - | - | - | - | - | - | - | - | - | 49.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 41.0 | - | - | - | - | - | - | - | - | - | - | - | 75.4 | - | - | $0.07 | 1.0M | Aug 262mo ago | |
| 5 | 62.6 | - | 40.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 29.9 | 55.8 | 40.2 | - | - | - | - | - | - | - | - | - | - | - | - | 1508.5 | 1464.6 | 15.8 | - | - | - | - | - | - | - | - | 18.1 | - | - | 33.5 | 20.8 | - | 38.8 | - | - | - | - | 90.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 55.0 | 75.4 | 63.2 | 68.5 | 71.8 | 84.9 | 70.2 | 72.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 93.3 | - | - | - | - | - | - | - | - | - | - | - | - | 22.2 | - | - | - | - | - | - | - | - | 74.2 | - | - | - | - | - | 46.1 | 34.0 | - | - | - | - | - | - | - | - | - | - | - | 57.1 | - | - | $1.33 | 205K | Apr 267mo ago | |
| 6 | 53.5 | - | 3.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1339.4 | 1424.1 | - | - | - | - | - | - | - | - | - | - | - | - | 3.8 | 2.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 35.0 | 71.0 | 52.0 | 26.2 | 59.0 | 81.1 | 55.2 | 62.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 90.3 | 80.4 | 19.3 | 88.7 | 78.2 | 83.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 24.5 | - | - | - | - | - | - | - | - | - | - | - | $0.50 | 205K | Sep 251y ago | |
| 7 | 52.0 | - | 3.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1434.5 | 1441.5 | 16.9 | 15.9 | 10.9 | - | - | - | - | - | - | - | - | - | 4.3 | 0.0 | - | - | - | - | - | - | 81.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 41.7 | 73.1 | 55.2 | 35.7 | 65.2 | 76.0 | 58.1 | 59.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 83.3 | - | 95.4 | 86.9 | 25.4 | 90.2 | 83.8 | 84.0 | - | - | 7.5 | - | - | 6.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 37.2 | 32.2 | - | - | 33.4 | - | - | - | - | - | - | - | - | - | - | - | $0.60 | 205K | Dec 2510mo ago | |
| 8 | 50.4 | - | 52.8 | - | 91.0 | 65.8 | - | - | 15.4 | 57.2 | 91.2 | 39.9 | - | 80.0 | - | 51.6 | - | - | - | - | 41.8 | - | - | - | - | - | - | - | - | - | - | - | - | 1615.6 | 1473.0 | 16.9 | - | - | - | - | 63.4 | - | - | - | - | - | - | - | - | 17.1 | 58.7 | 31.8 | 18.1 | - | - | 90.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 | - | 93.9 | - | - | - | - | - | - | - | - | - | - | - | - | 21.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 52.5 | - | - | - | - | - | - | - | - | - | - | - | - | $0.04 | 1.0M | Aug 262mo ago | |
| 9 | 46.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 61.1 | 36.2 | 42.9 | - | - | - | - | - | - | - | - | - | - | - | - | 1399.8 | 1433.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 3.3 | 73.9 | 54.1 | 27.2 | 62.3 | 70.4 | 49.6 | 56.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $1.20 | 203K | Apr 267mo ago | |
| 10 | 37.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 35.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 8.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 14.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 | - | - | - | 34.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 14.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.10 | 128K | Jul 251y ago | |
| 11 | 27.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1378.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 3.3 | 64.2 | 46.4 | 17.1 | 49.7 | 62.5 | 40.1 | 37.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.30 | 131K | Dec 2511mo ago |
About z-ai
Quick answers · sourced from our data
How many models does z-ai have?
BenchGecko tracks 23 models from z-ai, of which 11 (48%) are open source. Every entry is updated daily from live provider feeds.
What is the best model from z-ai?
GLM 4.5 is currently the highest scoring z-ai model we track, with an average benchmark score of 69.2. Scores are computed across every public benchmark we have data for.
What is the cheapest z-ai model?
The cheapest z-ai model on BenchGecko starts at $0.01 per 1M input tokens. Pricing is pulled from OpenRouter and cross-checked against official provider rate cards.
How does z-ai compare on benchmarks?
z-ai models average 36.3 across the benchmarks we track · see the All Providers page for the full ranking by model count, open source ratio, and average score.
Where is z-ai based?
z-ai is headquartered in China. BenchGecko groups providers by region to make it easy to compare US, EU, China, and Rest of World markets.
Is z-ai open source?
11 of 23 z-ai models are open source (48%). The rest are proprietary · closed weights served via API.