Command A vs GLM-5

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

Command A

Cohere · Mar 2025

Cohere's enterprise RAG specialist — 111B dense, two-GPU deployable, with downloadable weights for private deployments.

GLM-5

Z.ai (Zhipu) · Feb 2026

Z.ai's 744B open-weights MoE — within ~4 points of Opus 4.6 on SWE-bench Verified at $1/$3.20 per million tokens.

The verdict

These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. GLM-5 is about 2.8x cheaper per blended million tokens (3:1 input:output mix). Command A also takes 262K of context versus 200K for GLM-5.

Specs & pricing

Command AGLM-5
modhub Index
Input price / 1M$2.5$1
Output price / 1M$10$3.2
Context window262K200K
Max output8K128K
Open weightsyes (CC-BY-NC 4.0)yes (MIT)
Reasoning modelnoyes
Multimodal inputtexttext
Knowledge cutoffJun 2024Dec 2025
ReleasedMar 2025Feb 2026
Example monthly cost*$40.00$14.80

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, Command A or GLM-5?
These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. GLM-5 is about 2.8x cheaper per blended million tokens (3:1 input:output mix). Command A also takes 262K of context versus 200K for GLM-5.
Which is cheaper, Command A or GLM-5?
Command A costs $2.5/$10 per million input/output tokens, while GLM-5 costs $1/$3.2. For a typical workload of 10M input and 1.5M output tokens per month, that's $40.00 versus $14.80.
Which model is better for coding, Command A or GLM-5?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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