Claude Opus 5.5 vs GLM-5.3-FlashX pricing

Prices

Claude Opus 5.5 and GLM-5.3-FlashX prices, USD per 1M tokens
USD per 1M tokensClaude Opus 5.5GLM-5.3-FlashX
Input$4.00$0.37
Output$20.00$1.25
Cache read$0.20$0.075
Cache write$5.00Free
Batch input$2.00Not published
Batch output$10.00Not published

Verified against the provider's official pricing page on Oct 9, 2026. Official pricing page

Z.AI's list price for its own API, as compiled by models.dev and checked Oct 10, 2026, 09:00 UTC. Prices on cloud platforms and resellers can differ. Provider documentation

Monthly cost by workload

WorkloadClaude Opus 5.5GLM-5.3-FlashX
Chatbot1,000 in / 500 out tokens, 10,000 requests a day$4,200/mo$298.50/mo
RAG8,000 in / 500 out tokens, 5,000 requests a day$6,300/mo$537.75/mo
Coding agent50,000 in / 2,000 out tokens, 1,000 requests a day, 80% cached input$2,640/mo$276.00/mo

Cost = input tokens × input price + output tokens × output price, 30 days a month. Cached input uses the cache read price. Cache write fees are not included.

Context and capabilities

Claude Opus 5.5GLM-5.3-FlashX
Context1,000,000 tokens1,000,000 tokens
Max output128,000 tokens131,072 tokens
Inputtext, image, pdftext, image, video, pdf
Tool callingYesYes
ReasoningYesYes
Structured outputsYesYes

Questions

What is the price difference between Claude Opus 5.5 and GLM-5.3-FlashX?
Claude Opus 5.5: $4.00 per 1M input tokens and $20.00 per 1M output tokens. GLM-5.3-FlashX: $0.37 per 1M input tokens and $1.25 per 1M output tokens. For the Chatbot workload (1,000 in / 500 out tokens, 10,000 requests a day), that is about $4,200 per month for Claude Opus 5.5 and $298.50 for GLM-5.3-FlashX.
Which has the longer context window, Claude Opus 5.5 or GLM-5.3-FlashX?
Both accept up to 1,000,000 tokens of context.
Do Claude Opus 5.5 and GLM-5.3-FlashX have prompt caching and batch prices?
Claude Opus 5.5: cached input $0.20 per 1M tokens; batch $2.00 per 1M input tokens and $10.00 per 1M output tokens. GLM-5.3-FlashX: cached input $0.075 per 1M tokens; no batch price published.

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