Popular Comparisons:
⚡3-Second Selection Verdict
Daily & TestsPick GLM-5.3 (Save 72% · $57.20/mo)
Complex Refactor/AgentsPick Claude Opus 5.5 (CursorBench +15.2 pts)

Monthly savings assume 10M input + 2M output tokens/month at our price snapshot. Change usage ↓

Zhipu AIVerified

GLM-5.3

★ Save 72%
Input$1.40 / 1M
Output$4.40 / 1M
Context1M
CursorBench Pass Rate42.6%
AnthropicVerified

Claude Opus 5.5

★ Score Leader (57.8%)
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-5.3$22.80
Claude Opus 5.5$80.00

Context capacity · tokens (not recall accuracy)

GLM-5.31,000,000
Claude Opus 5.51,000,000

CursorBench 4.0 · %

GLM-5.342.6%
Claude Opus 5.557.8%

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

CursorBench · 2026-11-14 ↗
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-5.3 vs Claude Opus 5.5
Slot 1Zhipu AI
Slot 2Anthropic
Slot 3
GLM-5.3 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-5.3
$22.80/ mo
(in: $14.00 + out: $8.80)
Claude Opus 5.5
$80.00/ mo
(in: $40.00 + out: $40.00)
AttributeGLM-5.3Zhipu AIClaude Opus 5.5Anthropic
Input$1.40$4.00
Output$4.40$20.00
Context1M1M
CursorBench Pass Rate42.6%57.8%
StatusVerifiedVerified
Tags & CapabilitiesNew, Flagship, Coding, Reasoning, Long context, Agent, Always thinkingNew, Flagship, Reasoning, Coding, Agentic, Adaptive thinking, SOTA
LMArena Code#26#2
LMArena Agent#27#2
CursorBench#12#3
GDPx (SemiAnalysis)#19#2
Artificial Analysis#19#3
Vals AI#15#4
LiveBench—#5
LMArena Text#20#4
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