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GLM-5.2 hits Fireworks inference

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GLM-5.2 hits Fireworks inference
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// 2h agoMODEL RELEASE

GLM-5.2 hits Fireworks inference

Z.ai's GLM-5.2 is now available on Fireworks serverless inference with open weights, an MIT license, 1M-token context, and coding-first positioning for long-horizon agent workflows.

// ANALYSIS

GLM-5.2 is the most serious open-weight pressure test yet for closed frontier coding models, and Fireworks is using speed, control, and benchmark validation as the wedge.

  • Fireworks says it runs the weights on its own stack, not as a router, which matters for teams that care about data retention, uptime, and predictable serving.
  • The model page lists a 743B-parameter MoE design, 1040k-token context, function calling, and serverless pricing at $1.40 input / $4.40 output per million tokens.
  • Fireworks independently reproduced a 91.4% GPQA-Diamond result, but developers should still test it against their own codebases before treating social comparisons to Opus 4.8 as settled.
  • The broader story is open-weight models closing the agentic coding gap while undercutting closed-model economics.
// TAGS
glm-5.2z-aifireworks-aillmopen-weightslong-contextai-codinginference

DISCOVERED

2h ago

2026-06-19

PUBLISHED

2h ago

2026-06-19

RELEVANCE

9/ 10

AUTHOR

rileybrown