SURVEY RECORD N° 16 FILED 2026-08-13
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GLM-5.2

The long-context, long-horizon coding bet within the open-weight set.

Context1M
Passage, per 1M in / outbudget tier
AA Intelligencenot yet surveyed
Licenseopen
ModalitiesText
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In its favor

  • Open-license, long-context coding specialist
  • Strong vendor-reported agentic coding
  • 1M-token context for long-horizon tasks
  • Budget-tier pricing

Against it

  • Independent numbers vary from vendor claims
  • Text-only focus
  • Public per-token pricing not consistently listed
  • Less multimodal breadth than open rivals
open-weightcodinglong-context1M contextbudgetvendor-benchmarks

ASSESSMENT

GLM-5.2 is Z.ai's open-license bet on long-context coding: a model tuned for long-horizon, code-heavy tasks with a 1M-token context, positioned at the budget end of the tier. On agentic coding its vendor-reported results are strong.

The qualifier is verification. Independent numbers vary from the vendor's claims, so treat its standing as unsettled pending third-party testing. It is text-focused, with less multimodal breadth than open rivals like Qwen or Kimi, and public per-token pricing is not consistently listed.

For teams whose work is dominated by long-context coding and who want an inexpensive open-weight option, GLM-5.2 is worth evaluating directly on their own workloads — the surest test given the gap between vendor and independent figures. For broader or independently verified capability, the DeepSeek models remain the open-tier reference.

FIELD NOTE — Strong vendor-reported agentic coding; independent numbers vary.

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