Zhipu AI model product
GLM-5.1 is Z.AI's next-generation flagship foundation model designed for long-horizon agentic engineering tasks. Built on a 754B MoE architecture (40B active parameters), it can work continuously and autonomously on a single task for up to 8 hours, completing the full loop from planning and execution to iterative optimization and delivery. GLM-5.1 achieves state-of-the-art on SWE-Bench Pro (58.4) and demonstrates strong performance across coding, reasoning, and agentic benchmarks. It supports 200K context length, 128K max output tokens, thinking mode, function calling, structured output, context caching, and MCP integration. Overall performance is aligned with Claude Opus 4.6 with particular strengths in sustained execution and complex engineering optimization.
Updated Aug 10, 2026. Default version: GLM-5.1
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
Published benchmark records for the scored version GLM-5.1.
| Vending-Bench 2 | 5634.4 | 2 | 4 | 66.7% | C | |
| AIME 2026 | 1.0 | 3 | 17 | 87.5% | C | |
| TAU3-Bench | 0.7 | 3 | 5 | 50.0% | C | |
| NL2Repo | 0.4 | 8 | 14 | 46.1% | C | |
| CyberGym | 0.7 | 9 | 11 | 20.0% | C | |
| HMMT 2025 | 0.9 | 10 | 33 | 71.9% | C | |
| IMO-AnswerBench | 0.8 | 10 | 19 | 50.0% | C | |
| FrontierSWE | 0.3 | 11 | 15 | 28.6% | B | |
| HMMT Feb 26 | 0.8 | 11 | 11 | 0.0% | C | |
| Terminal-Bench 2.0 | 0.7 | 11 | 49 | 79.2% | C | |
| Finance Agent v2 | 0.4 | 12 | 26 | 56.0% | B | |
| Humanity's Last Exam | 0.5 | 15 | 92 | 84.6% | C | |
| MCP Atlas | 0.7 | 17 | 30 | 44.8% | C | |
| SWE-Bench Pro | 0.6 | 18 | 44 | 60.5% | C | |
| BrowseComp | 0.8 | 21 | 58 | 64.9% | C | |
| Toolathlon | 0.4 | 24 | 31 | 23.3% | C | |
| LiveBench | 0.7 | 29 | 38 | 24.3% | B | |
| GPQA | 0.9 | 46 | 233 | 80.6% | C |
Preference and agent-evaluation signals from published Arena datasets.
| text | hard prompts english | 14 | 1483.2 | 11,412 | N/A | |
| text | english | 17 | 1477.6 | 16,813 | N/A | |
| text style control | english | 17 | 1483.6 | 16,813 | N/A | |
| text factuality | chinese | 18 | 1517.3 | 1,765 | N/A | |
| text | industry medicine and healthcare | 19 | 1473.6 | 2,682 | N/A | |
| text | math | 19 | 1479.3 | 1,875 | N/A | |
| text factuality | math | 19 | 1469.8 | 1,438 | N/A | |
| text style control | hard prompts english | 20 | 1500.7 | 11,412 | N/A | |
| text style control | math | 20 | 1482.7 | 1,875 | N/A | |
| text | coding | 21 | 1490.2 | 10,330 | N/A | |
| webdev | webdev-html | 21 | 1532.6 | 888 | N/A | |
| text | chinese | 22 | 1520.7 | 2,206 | N/A | |
| text | creative writing | 22 | 1453.5 | 6,516 | N/A | |
| text | industry software and it services | 22 | 1486.4 | 14,744 | N/A | |
| text factuality | creative writing | 22 | 1452.1 | 5,806 | N/A | |
| text factuality | french | 22 | 1486.0 | 967 | N/A | |
| text | industry entertainment and sports and media | 23 | 1443.2 | 8,071 | N/A | |
| text | korean | 24 | 1426.6 | 713 | N/A | |
| text | multi turn | 24 | 1474.1 | 6,070 | N/A | |
| text factuality | japanese | 24 | 1416.9 | 255 | N/A | |
| text | german | 25 | 1462.6 | 565 | N/A | |
| text | industry writing and literature and language | 25 | 1455.2 | 9,234 | N/A | |
| text factuality | hard prompts english | 25 | 1499.8 | 10,904 | N/A | |
| text | overall | 26 | 1464.3 | 36,716 | N/A | |
| text | exclude ties | 26 | 1467.4 | 27,654 | N/A | |
| text | industry life and physical and social science | 26 | 1479.1 | 6,077 | N/A | |
| text | polish | 26 | 1462.1 | 726 | N/A | |
| webdev | overall | 26 | 1515.1 | 7,853 | N/A | |
| webdev | webdev | 26 | 1515.1 | 7,853 | N/A | |
| webdev | webdev-react | 26 | 1508.8 | 6,224 | N/A | |
| text factuality | english | 27 | 1474.9 | 16,718 | N/A | |
| text factuality | industry life and physical and social science | 27 | 1487.9 | 5,419 | N/A | |
| text factuality | industry writing and literature and language | 27 | 1455.2 | 8,636 | N/A | |
| text style control | industry life and physical and social science | 27 | 1488.9 | 6,077 | N/A | |
| text style control | longer query | 27 | 1483.2 | 16,213 | N/A | |
| text | hard prompts | 28 | 1474.4 | 24,242 | N/A | |
| text | non english | 28 | 1449.8 | 19,902 | N/A | |
| text factuality | industry medicine and healthcare | 28 | 1489.0 | 2,180 | N/A | |
| text factuality | multi turn | 28 | 1476.2 | 5,324 | N/A | |
| text style control | chinese | 28 | 1520.8 | 2,206 | N/A | |
| text | industry legal and government | 29 | 1470.4 | 2,826 | N/A | |
| text | industry mathematical | 29 | 1477.5 | 1,968 | N/A | |
| text | russian | 29 | 1460.9 | 3,876 | N/A | |
| text | spanish | 29 | 1459.2 | 1,235 | N/A | |
| text factuality | industry entertainment and sports and media | 29 | 1439.7 | 7,547 | N/A | |
| text factuality | industry legal and government | 29 | 1479.1 | 2,353 | N/A | |
| text factuality | industry mathematical | 29 | 1459.9 | 1,508 | N/A | |
| text factuality | russian | 29 | 1466.2 | 3,274 | N/A | |
| text style control | creative writing | 29 | 1448.7 | 6,516 | N/A | |
| text style control | expert | 29 | 1498.8 | 3,664 | N/A | |
| text | japanese | 30 | 1426.9 | 365 | N/A | |
| text | longer query | 30 | 1469.9 | 16,213 | N/A | |
| text style control | coding | 30 | 1516.7 | 10,330 | N/A | |
| text style control | multi turn | 30 | 1480.3 | 6,070 | N/A | |
| text | expert | 31 | 1481.4 | 3,664 | N/A | |
| text | industry business and management and financial operations | 31 | 1451.1 | 7,452 | N/A | |
| text factuality | spanish | 31 | 1445.4 | 839 | N/A | |
| text style control | industry mathematical | 31 | 1484.0 | 1,968 | N/A | |
| text style control | industry software and it services | 31 | 1505.0 | 14,744 | N/A | |
| text | french | 32 | 1474.4 | 1,311 | N/A | |
| text factuality | coding | 33 | 1515.3 | 9,790 | N/A | |
| text factuality | exclude ties | 33 | 1465.0 | 27,539 | N/A | |
| text factuality | expert | 33 | 1489.8 | 3,143 | N/A | |
| text factuality | hard prompts | 33 | 1482.9 | 24,161 | N/A | |
| text factuality | longer query | 33 | 1478.2 | 15,725 | N/A | |
| text style control | french | 33 | 1486.3 | 1,311 | N/A | |
| text style control | industry writing and literature and language | 33 | 1455.2 | 9,234 | N/A | |
| text factuality | overall | 34 | 1458.5 | 36,569 | N/A | |
| text style control | industry entertainment and sports and media | 34 | 1442.8 | 8,071 | N/A | |
| text | instruction following | 35 | 1452.7 | 12,475 | N/A | |
| text factuality | industry business and management and financial operations | 35 | 1463.9 | 6,735 | N/A | |
| text factuality | industry software and it services | 35 | 1497.3 | 14,363 | N/A | |
| text factuality | instruction following | 35 | 1458.5 | 11,957 | N/A | |
| text style control | hard prompts | 35 | 1490.8 | 24,242 | N/A | |
| text style control | industry legal and government | 35 | 1475.7 | 2,826 | N/A | |
| text style control | industry medicine and healthcare | 35 | 1485.2 | 2,682 | N/A | |
| text style control | instruction following | 35 | 1462.8 | 12,475 | N/A | |
| text factuality | non english | 36 | 1443.2 | 19,824 | N/A | |
| text style control | overall | 36 | 1467.8 | 36,716 | N/A | |
| text style control | exclude ties | 36 | 1475.0 | 27,654 | N/A | |
| text style control | industry business and management and financial operations | 38 | 1463.9 | 7,452 | N/A | |
| text style control | german | 39 | 1463.6 | 565 | N/A | |
| text style control | japanese | 41 | 1429.7 | 365 | N/A | |
| text style control | spanish | 41 | 1456.5 | 1,235 | N/A | |
| text style control | non english | 42 | 1451.1 | 19,902 | N/A | |
| text style control | korean | 43 | 1419.7 | 713 | N/A | |
| text style control | russian | 43 | 1464.8 | 3,876 | N/A | |
| text style control | polish | 47 | 1458.0 | 726 | N/A |
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
| Zhipu AI Coding Plan | glm-5.1 | global | N/A | N/A | 200K | |
| Alibaba Token Plan | glm-5.1 | global | N/A | N/A | 202.8K | |
| Alibaba Token Plan (China) | glm-5.1 | global | N/A | N/A | 202.8K | |
| CrofAI | glm-5.1 | global | $0.45 | $2.15 | 202.8K | |
| EBCloud | GLM-5.1 | global | $0.8571 | $3.43 | 200K | |
| 302.AI | glm-5.1 | global | $0.86 | $3.5 | 200K | |
| Alibaba (China) | glm-5.1 | global | $0.87 | $3.48 | 202.8K | |
| LLM Gateway | glm-5.1 | global | $0.931 | $2.93 | 204.8K | |
| DigitalOcean | glm-5.1 | global | $0.975 | $4.3 | 163.8K | |
| Wafer | GLM-5.1 | global | $1 | $3.2 | 202.8K | |
| DInference | glm-5.1 | global | $1.25 | $3.89 | 200K | |
| Cortecs | glm-5.1 | global | $1.38 | $4.35 | 202.8K | |
| OpenCode Go | glm-5.1 | global | $1.4 | $4.4 | 202.8K | |
| OpenCode Zen | glm-5.1 | global | $1.4 | $4.4 | 204.8K | |
| Auriko | glm-5.1 | global | $1.4 | $4.4 | 200K | |
| Z.AI | glm-5.1 | global | $1.4 | $4.4 | 200K | |
| Charm Hyper | glm-5.1 | global | $1.52 | $4.79 | 202.8K | |
| GreenPT | glm-5.1 | global | $1.76 | $5.52 | 200K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| GLM-5.1 | 64.7 | 754B | 200K | 131.1K | Yes | MIT |
A concise description based on the published model registry.
GLM-5.1 is Z.AI's next-generation flagship foundation model designed for long-horizon agentic engineering tasks. Built on a 754B MoE architecture (40B active parameters), it can work continuously and autonomously on a single task for up to 8 hours, completing the full loop from planning and execution to iterative optimization and delivery. GLM-5.1 achieves state-of-the-art on SWE-Bench Pro (58.4) and demonstrates strong performance across coding, reasoning, and agentic benchmarks. It supports 200K context length, 128K max output tokens, thinking mode, function calling, structured output, context caching, and MCP integration. Overall performance is aligned with Claude Opus 4.6 with particular strengths in sustained execution and complex engineering optimization.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest published LLMBoard score.
Common questions about GLM 5.1.
GLM 5.1's default version was released on Apr 7, 2026.
No official standard PAYG price is currently available for GLM 5.1. The lowest tracked third-party offer starts at $0.45 input and $2.15 output via CrofAI.
GLM 5.1 is published under Zhipu AI in the model registry.
The default version has a 200K token context window.
Yes. The default version is marked as open weight under MIT.
19 published provider offerings are linked to the default version.
Nearby ranked alternatives include Grok 4 Fast, GLM 4.7, Qwen3 235B A22B Thinking.