Popular Comparisons:
Zhipu AIVerified

GLM-5.2

★ Massive Context 256K
Input$1.40 / 1M
Output$4.40 / 1M
Context256K
CursorBench Pass Rate—
Zhipu AIVerified

GLM-5.1

Input$1.40 / 1M
Output$4.40 / 1M
Context128K
CursorBench Pass Rate—
Zhipu AIVerified

GLM-5.2 (Reasoning)

Input$2.00 / 1M
Output$6.00 / 1M
Context200K
CursorBench Pass Rate—

Pick your workflow, then your budget

Estimates use our price snapshot, excluding cache, retries, taxes and tools. Check availability for preview and legacy models.

Workload cost · USD (lower costs less)

GLM-5.2$22.80
GLM-5.1$22.80
GLM-5.2 (Reasoning)$32.00

Context capacity · tokens (not recall accuracy)

GLM-5.2256,000
GLM-5.1128,000
GLM-5.2 (Reasoning)200,000

CursorBench 4.0 · %

GLM-5.2No verified data
GLM-5.1No verified data
GLM-5.2 (Reasoning)No verified data

Tool reliability, long-context recall and same-harness SWE-bench: untested, not zero.

CursorBench · 2026-10-07 ↗
Patch review example: why does an empty array slip through?

Editorial example, not measured model output. Review boundary contracts and regression tests; this is not a model ranking.

export function mean(values: number[]) {
  return values.reduce((a, b) => a + b, 0)
    / values.length;
}

// mean([]) => NaN
// Missing an explicit empty-input contract
⚙️ Select ModelGLM-5.2 vs GLM-5.1 vs GLM-5.2 (Reasoning)
Slot 1Zhipu AI
Slot 2Zhipu AI
Slot 3Zhipu AI
GLM-5.2 VS GLM-5.1 VS GLM-5.2 (Reasoning)
💳 View Plans↗

💰 Monthly Cost Simulation

Simulate monthly cost differences based on your estimated token usage volume

Monthly Input Tokens (Prompt)10 M tokens
Monthly Output Tokens (Completion)2 M tokens
GLM-5.2
$22.80/ mo
(in: $14.00 + out: $8.80)
GLM-5.1
$22.80/ mo
(in: $14.00 + out: $8.80)
GLM-5.2 (Reasoning)
$32.00/ mo
(in: $20.00 + out: $12.00)
AttributeGLM-5.2Zhipu AIGLM-5.1Zhipu AIGLM-5.2 (Reasoning)Zhipu AI
Input$1.40$1.40$2.00
Output$4.40$4.40$6.00
Context256K128K200K
CursorBench Pass Rate———
StatusVerifiedVerifiedVerified
Tags & CapabilitiesFlagship, Coding, ReasoningFlagship, Coding, ReasoningReasoning, Flagship
LMArena Code#19#39#—
LMArena Agent#18#—#—
CursorBench#—#—#—
Artificial Analysis#37#47#—
Vals AI#—#—#—
LiveBench#33#—#—
LMArena Text#21#32#—
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