Question 1

What does this Muse Spark 1.1 vs GLM-4.6V comparison cover?

Accepted Answer

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

Question 2

Which is cheaper: Muse Spark 1.1 or GLM-4.6V?

Accepted Answer

Muse Spark 1.1 lists starting rates of $1.25 input and $4.25 output per 1M tokens. Standard mode costs $1.25/M input, $0.15/M cached input and $4.25/M output, without a long-context premium. Version 1.1 has no Contributor variant and is not available in Muse Code. Search grounding costs $2.50 per 1,000 queries. GLM-4.6V lists $0.30 input and $0.90 output per 1M tokens. Compare the complete request cost at your prompt length and processing tier before choosing.

Question 3

Which has the larger context window: Muse Spark 1.1 or GLM-4.6V?

Accepted Answer

Muse Spark 1.1 lists 1.05M tokens and GLM-4.6V lists 128K. Muse Spark 1.1 therefore has the larger recorded context window, but capacity alone is not a quality score.

Question 4

Which is faster: Muse Spark 1.1 or GLM-4.6V?

Accepted Answer

There is no matched speed measurement for both models with the same source, host, region and date. Test the same prompts at your expected concurrency and measure time to the first useful response as well as complete task time.

Question 5

What input and output types do Muse Spark 1.1 and GLM-4.6V support?

Accepted Answer

Muse Spark 1.1 records text, image, video, audio, pdf input and text output. GLM-4.6V records text, image, video input and text output. “Not documented” means the current source record is incomplete; it does not prove that a modality is unsupported.

Question 6

Should I choose Muse Spark 1.1 or GLM-4.6V?

Accepted Answer

Consider Muse Spark 1.1 if you need larger context or larger maximum output. GLM-4.6V offers downloadable weights; Muse Spark 1.1 is listed as a proprietary model. Compare licence terms and operating costs before choosing a deployment. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.

Specification	Muse Spark 1.1	GLM-4.6V
Provider	Meta	Z.ai / Zhipu AI
Listed pricing route	Meta Model API	Z.ai / Zhipu AI
Model family	muse	glm
Accepted inputs	text, image, video, audio, pdf	text, image, video
Produced outputs	text	text
Context window	1.05MHigher	128K
Max output	131.07KHigher	32.77K
Input price / 1M	From $1.25	$0.30
Output price / 1M	From $4.25	$0.90
Reasoning mode	Documented	Documented
Tool calling	Documented	Documented
Image input	Documented	Documented
Audio input	Documented	Not documented
Structured output	Documented	Not documented
License	Proprietary	Open weights

Muse Spark 1.1 vs GLM-4.6V

Muse Spark 1.1

GLM-4.6V

Key differences

Pricing, limits and capabilities

Which model should you choose?

Documentation and model profiles

Questions people ask

Compare a different pair