Alex Getmanearly AI signals
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GLM-5.2

Z.ai

Released Updated
Context window
1M
1,048,576 tokens
Max output
131K
131,072 tokens
Input / Output
text → text

API pricing

USD / 1M tokens

InputOutputCached input
  • $1.40
zai-pricing
  • $4.40
zai-pricing
  • $0.26
zai-pricing
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Timeline

  1. · Weights version · evidence link
Input / output price · USD / 1M tokens
ModelEvidence linksInput / output price
glm-5.2
standard · text
opencode-go$1.40 / $4.40
glm-5.2
standard
zai-pricing
API route unavailable
$1.40 / $4.40
  1. · Evidence links · GitHub search · Z.ai · commits · vhaldemar/opencode-plugin-yandex-ai-studio · @vhaldemar
  2. · Evidence links · GitHub search · Z.ai · commits · vhaldemar/opencode-plugin-yandex-ai-studio · @vhaldemar
  3. · Evidence links · GitHub search · Z.ai · commits · vhaldemar/opencode-plugin-yandex-ai-studio · @vhaldemar
  4. · Evidence links · GitHub search · Z.ai · commits · vhaldemar/opencode-plugin-yandex-ai-studio · @vhaldemar
  5. · Evidence links · GitHub search · Z.ai · commits · vhaldemar/opencode-plugin-yandex-ai-studio · @vhaldemar
  6. · Evidence links · GitHub search · Z.ai · commits · vhaldemar/opencode-plugin-yandex-ai-studio · @vhaldemar
  7. · Evidence links · GitHub search · Z.ai · commits · vhaldemar/opencode-plugin-yandex-ai-studio · @vhaldemar
  8. · Evidence links · GitHub search · Z.ai · commits · vhaldemar/opencode-plugin-yandex-ai-studio · @vhaldemar
  9. · Evidence links · GitHub search · Z.ai · commits · vhaldemar/opencode-plugin-yandex-ai-studio · @vhaldemar
  10. · Evidence links · GitHub search · Z.ai · commits · vhaldemar/opencode-plugin-yandex-ai-studio · @vhaldemar
  11. · Evidence links · GitHub search · Z.ai · commits · vhaldemar/opencode-plugin-yandex-ai-studio · @vhaldemar
  12. · Evidence links · GitHub search · Z.ai · commits · renj-arch/dimsred · @github-actions[bot]
  13. · Evidence links · GitHub search · Z.ai · commits · renj-arch/dimsred · @github-actions[bot]
  14. · Evidence links · GitHub search · Z.ai · commits · devlawey/filar · @claude
  15. · Evidence links · GitHub search · Z.ai · commits · alexjbarnes/cockpit · @alexjbarnes
  16. · Evidence links · GitHub search · Z.ai · commits · ROCm/aiter · @RElbers
  17. · Evidence links · GitHub search · Z.ai · pulls · vllm-project/vllm · @Ma1oneZhang
    Excerpt
    gain. Models that run top-2048 over every key (GLM-5.2/5.3) should gain more; that is not measured here.
  18. · Evidence links · GitHub search · Z.ai · pulls · vllm-project/vllm-torchtpu · @Zhiqun-Zuo
    Excerpt
    glm-agentx branch (#1809, #2107, #2201), that brings the GLM-5.2 decode optimizations to main. Each kernel comes first in its own PR, and a separate PR
  19. · Evidence links · GitHub search · Z.ai · pulls · vllm-project/vllm-torchtpu · @Zhiqun-Zuo
    Excerpt
    glm-agentx branch (#1809, #2107, #2201), that brings the GLM-5.2 decode optimizations to main. Each kernel comes first in its own PR, and a separate PR
  20. · Evidence links · GitHub search · Z.ai · pulls · vllm-project/vllm-torchtpu · @Zhiqun-Zuo
    Excerpt
    glm-agentx branch (#1809, #2107, #2201), that brings the GLM-5.2 decode optimizations to main. Each kernel comes first in its own PR, and a separate PR
  21. · Evidence links · GitHub search · Z.ai · pulls · vllm-project/vllm-torchtpu · @Zhiqun-Zuo
    Excerpt
    glm-agentx branch (#1809, #2107, #2201), that brings the GLM-5.2 decode optimizations to main. Each kernel comes first in its own PR, and a separate PR
  22. · Evidence links · GitHub search · Z.ai · pulls · vllm-project/vllm-torchtpu · @Zhiqun-Zuo
    Excerpt
    glm-agentx branch (#1809, #2107, #2201), that brings the GLM-5.2 decode optimizations to main. Each kernel comes first in its own PR, and a separate PR
  23. · Evidence links · GitHub search · Z.ai · pulls · vllm-project/vllm-torchtpu · @Zhiqun-Zuo
    Excerpt
    glm-agentx branch (#1809, #2107, #2201), that brings the GLM-5.2 decode optimizations to main. Each kernel comes first in its own PR, and a separate PR
  24. · Evidence links · GitHub search · Z.ai · pulls · vllm-project/vllm-torchtpu · @Zhiqun-Zuo
    Excerpt
    glm-agentx branch (#1809, #2107, #2201), that brings the GLM-5.2 decode optimizations to main. Each kernel comes first in its own PR, and a separate PR
  25. · Evidence links · GitHub search · Z.ai · pulls · vllm-project/vllm-torchtpu · @Zhiqun-Zuo
    Excerpt
    glm-agentx branch (#1809, #2107, #2201), that brings the GLM-5.2 decode optimizations to main. Each kernel comes first in its own PR, and a separate PR
  26. · Evidence links · GitHub search · Z.ai · pulls · vllm-project/vllm-torchtpu · @pritha90
  27. · Evidence links · GitHub search · Z.ai · pulls · vllm-project/vllm-torchtpu · @aaronndx
  28. · Evidence links · GitHub search · Z.ai · pulls · vllm-project/vllm-torchtpu · @Zhiqun-Zuo
    Excerpt
    At decode, every decoder layer of GLM-5.2 ends with a TP all-reduce, which sums the layer's output across the 16 cores. This tensor is small.
  29. · Evidence links · GitHub search · Z.ai · pulls · octogee-ai/octogee-cloud · @ceckert
    Excerpt
    - model `z-ai/glm-5.2`;
  30. · Evidence links · GitHub search · Z.ai · pulls · metorial/metorial-platform · @herber
    Excerpt
    | `nano-gpt/z-ai/glm-5.2` | link → `zhipu/glm-5.2` | NanoGPT's GLM 5.2 is Z.ai's flagship 1M-context coding model released June 2026 (NVIDIA NIM, Vercel), matching zhipu/glm-5.2 (2026-06-13,
  31. · Evidence links · GitHub search · Z.ai · pulls · maximhq/bifrost · @is911
    Excerpt
    only for models that accept it (qwen3.8-max, kimi-k3, glm-5.2) and stripped elsewhere to avoid vendor 400s; `max` preserved on kimi-k3. Since opening, live dogfooding corrected
  32. · Evidence links · GitHub search · Z.ai · pulls · iv-org/invidious · @Fijxu
  33. · Evidence links · GitHub search · Z.ai · pulls · iv-org/invidious · @Fijxu
  34. · Evidence links · GitHub search · Z.ai · pulls · iv-org/invidious · @Fijxu
  35. · Evidence links · GitHub search · Z.ai · pulls · iv-org/invidious · @Fijxu
  36. · Evidence links · GitHub search · Z.ai · pulls · anomalyco/models.dev · @models-dev-automation[bot]
    Excerpt
    - updated: `/home/runner/_work/models.dev/models.dev/providers/nano-gpt/models/z-ai/glm-5.2:thinking.toml`
  37. · Evidence links · GitHub search · Z.ai · pulls · anomalyco/models.dev · @models-dev-automation[bot]
  38. · Evidence links · GitHub search · Z.ai · pulls · anomalyco/models.dev · @KevRojo
  39. · Evidence links · GitHub search · Z.ai · pulls · AMD-AGI/AKLR · @zhenhuang12
    Excerpt
    - Files per model: qwen3.5 160, glm-5.2 147, kimi-k3 119, qwen3-next 80, deepseek-v4-pro 53, glm-5.3 53, deepseek-v4-flash 45, deepseek-r1 40, deepseek-v3 40, minimax-m2.5 32, muse-spark
  40. · Evidence links · GitHub search · Z.ai · commits · genji1024/dotfiles · @genji1024
  41. · Evidence links · GitHub search · Z.ai · commits · devlawey/filar · @claude
  42. · Evidence links · GitHub search · Z.ai · commits · Nulluminati/pi-extensions · @Nulluminati
    Excerpt
    the 11 ids that /v1/models no longer publishes (GLM-5.2, DeepSeek

Signals 4

Z.aiSighting

GLM 5.2

Open weights28 evidence links
Z.aiSighting

Z.ai: GLM 5.2

Open weights28 evidence links
Specifications

GLM-5.2 is a model from Z.ai with open weights, released on 16 Jun 2026. The context window is 1,048,576 tokens. The maximum output is 131,072 tokens. Pricing is $1.40 per million input tokens and $4.40 per million output tokens.

Context window
1,048,576
Max output
131,072
Input
text
Output
text
Weights
Open
Input · USD / 1M tokens
$1.40
Output · USD / 1M tokens
$4.40
Cached input · USD / 1M tokens
$0.26

Questions

What is the context window of GLM-5.2?

The context window is 1,048,576 tokens. The maximum output is 131,072 tokens.

How much does GLM-5.2 cost?

Pricing is $1.40 per million input tokens and $4.40 per million output tokens. Cached input is $0.26 per million.

Are the weights of GLM-5.2 publicly available?

Yes. Z.ai publishes the weights.

When was GLM-5.2 released?

On 16 Jun 2026.