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GLM 4.6
About GLM 4.6
GLM 4.6 is an AI model developed by Zhipu AI, in the language category, released in 2025, made available as an open-weights model with 357B params.
On this page you'll find GLM 4.6's full specifications, including 2 benchmark results. Review provider pricing and benchmark scores below, or compare GLM 4.6 head-to-head with other language models.
Links
Run GLM 4.6 locally — what it takes
GLM 4.6 (357B) is too large to run on a single consumer or Apple machine. At Q4 its weights alone are about 200 GB — it needs a multi-GPU / datacenter setup:
- ≈ 1× AMD Instinct MI325X
- ≈ 2× NVIDIA B200
Lower quantization (Q3/Q2) or CPU + system-RAM offload (e.g. ktransformers) reduces the requirement at the cost of speed.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
Community
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GLM 4.6 benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| Terminal-Bench 2.0 | agentic | 24.6% | cited-devstral-readme |
| SWE-bench Verified | code | 68% | cited-devstral-readme |
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Frequently asked questions
What is GLM 4.6? ▶
GLM 4.6 is an AI model developed by Zhipu AI, in the language category, released in 2025. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created GLM 4.6? ▶
GLM 4.6 was developed by Zhipu AI and released in 2025.
Is GLM 4.6 open source or proprietary? ▶
GLM 4.6 ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does GLM 4.6 cost? ▶
Pricing for GLM 4.6 depends on the provider. See the providers table on this page for the latest API rates.
How does GLM 4.6 perform on benchmarks? ▶
GLM 4.6 is benchmarked across 2 evaluations on GenAIList, including Terminal-Bench 2.0 (24.6%). See the full benchmark table below and compare it with other models.
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