Popular Comparisons:
⚡3-Second Selection Verdict
Daily & TestsPick GLM-4-Plus (Save 79%)
Zhipu AIVerified

GLM-4-Plus

★ Save 79%
Input$1.40 / 1M
Output$1.40 / 1M
Context128K
CursorBench Pass Rate—
AnthropicVerified

Claude Opus 5.5

★ Massive Context 1M
Input$4.00 / 1M
Output$20.00 / 1M
Context1M
CursorBench Pass Rate57.8%

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-4-Plus$16.80
Claude Opus 5.5$80.00

Context capacity · tokens (not recall accuracy)

GLM-4-Plus128,000
Claude Opus 5.51,000,000

CursorBench 4.0 · %

GLM-4-PlusNo verified data
Claude Opus 5.557.8%

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

CursorBench · 2026-09-22 ↗
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-4-Plus vs Claude Opus 5.5
Slot 1Zhipu AI
Slot 2Anthropic
Slot 3
GLM-4-Plus VS Claude Opus 5.5
💳 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-4-Plus
$16.80/ mo
(in: $1.4 + out: $1.4)
Claude Opus 5.5
$80.00/ mo
(in: $4 + out: $20)
AttributeGLM-4-PlusZhipu AIClaude Opus 5.5Anthropic
Input$1.40$4.00
Output$1.40$20.00
Context128K1M
CursorBench Pass Rate—57.8%
StatusVerifiedVerified
Tags & CapabilitiesFlagship, Agent, ReasoningNew, Flagship, Reasoning, Coding, Agentic, Adaptive thinking, SOTA
LMArena Code#47#1
LMArena Agent#—#1
CursorBench#—#1
Artificial Analysis#52#1
Vals AI#—#3
LiveBench#—#2
LMArena Text#48#2
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