Model

GLM-5.2 (High)

OPEN

Zhipu AI / Z.ai (Tsinghua) · GLM-5 family · released Jun 13, 2026

Default reasoning-effort tier: 'High' mode balances strong performance against latency/token cost for everyday coding, per Z.ai's own guidance. Same weights as the Max tier, selected via the reasoning_effort API parameter.

ReasoningCodingVisionFunction callingTool useAgentic

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Elo · unrated

Parameters

744B

Active params

40B (MoE)

Context

1M tokens

Architecture

Mixture-of-Experts, 744B total / 40B active, DSA + 'IndexShare' sparse-attention indexer reuse (2.9x fewer per-token FLOPs at 1M context), 1M-token context; selectable High/Max reasoning-effort modes

License

MIT

Languages

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API price (in/out)

$1.4 / $4.4

Modalities

text

Benchmark results

Bar shows position within the tracked field; marker = field best

Run it locally

VRAM @ Q4

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VRAM @ FP16

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Fits on (Q4)

Multi-node cluster required

Throughput data unavailable.

Quantizations

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GLM-5 family

Elo progression across releases

GLM-5Feb 20262123.1 GLM-5.1Apr 20262241.1 GLM-5.2 (High)Jun 20261000.0 GLM-5.2 (Max)Jun 20262455.0

Resources

HFzai-org/GLM-5.2 DOCShttps://docs.z.ai/guides/llm/glm-5.2 APIAvailable via Zhipu AI / Z.ai (Tsinghua) API

API price $1.4/$4.4 · each benchmark row carries its own source badge (see methodology)