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Command A vs GLM-5

Cohere against Z.ai (GLM), costed on the same three workloads. GLM-5 is cheaper on all three workloads.

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Monthly bill, side by side

WorkloadCommand AGLM-5Difference
Support chatbot
2,500 six-turn conversations a day
$9,056 $3,298 $5,758 (2.7×)
Document summarizer
1,000 single-shot summaries a day
$1,155 $443 $712 (2.6×)
Coding agent
200 twelve-turn sessions a day
$6,570 $2,484 $4,086 (2.6×)

No prompt caching and no batch discount on either side, so the comparison is like for like. Both figures assume 30 days a month.

The rate cards

Command AGLM-5
Input, per 1M tokens$2.5$1
Output, per 1M tokens$10$3.2
Cached inputnot published$0.2
Context window256K200K
Maximum output8K128K
Reasoning modelnoyes
Visionnono

Beyond the price

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Full detail: Command A pricing · GLM-5 pricing

More comparisons

Other head-to-heads that include Command A or GLM-5.

Common questions

Which is cheaper, Command A or GLM-5?

GLM-5 is cheaper on all three workloads.

How much would Command A and GLM-5 cost each month?

On PromptSpend's standard workloads, per month: support chatbot: Command A $9,056, GLM-5 $3,298 (GLM-5 is cheaper by $5,758); document summarizer: Command A $1,155, GLM-5 $443 (GLM-5 is cheaper by $712); coding agent: Command A $6,570, GLM-5 $2,484 (GLM-5 is cheaper by $4,086). No prompt caching and no batch discount is assumed.

How do Command A and GLM-5 differ apart from price?

Command A reads up to 256K tokens of context in one request; GLM-5 stops at 200K. GLM-5 can write up to 128K tokens in one response, against 8K for Command A. Only GLM-5 is a reasoning model, so its output bill also pays for the thinking it does before it answers. Only GLM-5 publishes a cached-input rate, which cuts the cost of resending a long, unchanging prompt.

Standard-tier, global-endpoint list prices in USD. This build read the catalog generated 2026-11-11.