Zhipu AI model product
5.
Updated Aug 12, 2026. Default version: GLM-4.6
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for GLM-4.6.
| Terminal-Bench | 40.5% | 08 | 25 | 70.8% | C | |
| LiveCodeBench v6 | 82.8% | 14 | 53 | 75.0% | C | |
| AIME 2025 | 93.9% | 28 | 114 | 76.1% | C | |
| BrowseComp | 45.1% | 47 | 58 | 19.3% | C | |
| Humanity's Last Exam | 17.2% | 66 | 93 | 29.4% | C | |
| SWE-Bench Verified | 68.0% | 67 | 105 | 36.5% | C | |
| GPQA | 81.0% | 82 | 234 | 65.2% | C |
Preference and agent-evaluation results for the default version.
| text | overall | 59 | 1439.6 | 35,834 | N/A | |
| text factuality | overall | 60 | 1447.1 | 28,634 | N/A | |
| webdev | overall | 83 | 1339.8 | 6,606 | N/A | |
| text style control | overall | 102 | 1424.3 | 35,834 | N/A |
Provider-specific output speed and catalog latency for GLM-4.6. Runtime does not affect the capability score.
| DeepInfra | 3.221 tok/s | 0.426 s | 131.1K | 65.5K |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Official vendor API pricing appears first, followed by individual provider offers.
| ModelScope | ZhipuAI/GLM-4.6 | global | N/A | N/A | 202.8K | |
| iFlow | glm-4.6 | global | N/A | N/A | 200K | |
| 302.AI | glm-4.6 | global | $0.286 | $1.14 | 204.8K | |
| NanoGPT | z-ai/glm-4.6 | global | $0.35 | $1.4 | 200K | |
| ZenMux | z-ai/glm-4.6 | global | $0.35 | $1.54 | 200K | |
| IO.NET | zai-org/GLM-4.6 | global | $0.40 | $1.75 | 200K | |
| Ofox | z-ai/glm-4.6 | global | $0.40 | $1.9 | 204.8K | |
| Venice AI | zai-org-glm-4.6 | global | $0.43 | $1.75 | 198K | |
| Helicone | glm-4.6 | global | $0.45 | $1.5 | 204.8K | |
| Meganova | zai-org/GLM-4.6 | global | $0.45 | $1.9 | 202.8K | |
| Deep Infra | zai-org/GLM-4.6 | global | $0.50 | $2 | 202.8K | |
| LLM Gateway | glm-4.6 | global | $0.55 | $2.2 | 204.8K | |
| Kilo Gateway | z-ai/glm-4.6 | global | $0.55 | $2.2 | 204.8K | |
| NovitaAI | zai-org/glm-4.6 | global | $0.55 | $2.2 | 204.8K | |
| OpenRouter | z-ai/glm-4.6 | global | $0.55 | $2.2 | 204.8K | |
| Hugging Face | zai-org/GLM-4.6 | global | $0.55 | $2.2 | 204.8K | |
| Zhipu AI | glm-4.6 | global | $0.60 | $2.2 | 204.8K | |
| Impossibl | zai/glm-4.6 | global | $0.60 | $2.2 | 204.8K | |
| OpenCode Zen | glm-4.6 | global | $0.60 | $2.2 | 204.8K | |
| Abacus | zai-org/GLM-4.6 | global | $0.60 | $2.2 | 202.8K | |
| OrcaRouter | z-ai/glm-4.6 | global | $0.60 | $2.2 | 204.8K | |
| Merge Gateway | zai/glm-4.6 | global | $0.60 | $2.2 | 200K | |
| Vercel AI Gateway | zai/glm-4.6 | global | $0.60 | $2.2 | 200K | |
| Z.AI | glm-4.6 | global | $0.60 | $2.2 | 204.8K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Available versions of this model. The score column identifies the version used in the overall ranking.
| GLM-4.6 | 54.2 | 357B | 204.8K | 131.1K | Yes | MIT |
Key information about GLM 4.6 and its available data.
5. Key features include: 200K token context window (expanded from 128K), superior coding performance with better real-world application in Claude Code/Cline/Roo Code/Kilo Code, advanced reasoning with tool use during inference, stronger agent capabilities, and refined writing aligned with human preferences.
6% win rate) on CC-Bench real-world coding tasks.
Data as of 2026-08-11.
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 LLMBoard score.
Common questions about GLM 4.6.
GLM 4.6's default version was released on Sep 30, 2025.
GLM 4.6's official API price is $0.60 per million input tokens and $2.2 per million output tokens via Zhipu AI. The lowest tracked third-party offer starts at $0.286 input and $1.14 output via 302.AI.
GLM 4.6 was created by Zhipu AI.
The default version has a 204.8K token context window.
Yes. The default version is marked as open weight under MIT.
25 provider offerings are linked to the default version.
Nearby ranked alternatives include Qwen3.6 35B A3B, MAI Thinking 1, Grok 3.