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$ diff claude-opus-5 glm-5-2

Claude Opus 5 vs GLM-5.2

Values come from Claude Opus 5 and GLM-5.2, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.

What actually differs

Context window
Identical — both accept 1M tokens, so context length is not a reason to pick either.
Input price
GLM-5.2 at $0.73/M against $5/M — 6.8× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
Output price
GLM-5.2 at $2.3/M against $25/M — 10.9× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
GLM-5.2 publishes weights (MIT (unrestricted, "no regional limits")); Claude Opus 5 is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
Claude Opus 5 shipped 41 days after GLM-5.2 (2026-07-24 vs 2026-06-13).

Full spec

AttributeClaude Opus 5GLM-5.2
DeveloperAnthropicZ.ai
Released2026-07-242026-06-13
Context window1M tokens1,000,000 tokens
Pricing$5/M input · $25/M output (standard); $10/M · $50/M (Fast mode, research preview)$0.73/M input · $2.30/M output ($0.14/M cached input) — reseller pricing (OpenRouter catalogue, read 2026-07-28). Z.ai still publishes no list price of its own.
LicenseproprietaryMIT (unrestricted, "no regional limits")
AvailabilityClaude.ai, API (`claude-opus-5`), Bedrock (`anthropic.claude-opus-53`), Vertex AI, Microsoft Foundry, Claude Code, CoworkGLM Coding Plan (highest subscription tier), standalone API, open weights, NVIDIA NIM hosted

How these pages are produced

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