Name: deepseek-ai/DeepSeek-V4-Flash
Author: deepseek-ai

Question 1

What does this deepseek-ai/DeepSeek-V4-Flash vs Muse Spark 1.1 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: deepseek-ai/DeepSeek-V4-Flash or Muse Spark 1.1?

Accepted Answer

deepseek-ai/DeepSeek-V4-Flash lists $0.14 input and $0.28 output per 1M tokens. 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. Compare the complete request cost at your prompt length and processing tier before choosing.

Question 3

Which has the larger context window: deepseek-ai/DeepSeek-V4-Flash or Muse Spark 1.1?

Accepted Answer

deepseek-ai/DeepSeek-V4-Flash lists 1M tokens and Muse Spark 1.1 lists 1.05M. Muse Spark 1.1 therefore has the larger recorded context window, but capacity alone is not a quality score.

Question 4

Which is faster: deepseek-ai/DeepSeek-V4-Flash or Muse Spark 1.1?

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 deepseek-ai/DeepSeek-V4-Flash and Muse Spark 1.1 support?

Accepted Answer

deepseek-ai/DeepSeek-V4-Flash records text input and text output. Muse Spark 1.1 records text, image, video, audio, pdf 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 deepseek-ai/DeepSeek-V4-Flash or Muse Spark 1.1?

Accepted Answer

Consider deepseek-ai/DeepSeek-V4-Flash if you need larger maximum output. Consider Muse Spark 1.1 if you need larger context. deepseek-ai/DeepSeek-V4-Flash 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	deepseek-ai/DeepSeek-V4-Flash	Muse Spark 1.1
Provider	deepseek-ai	Meta
Listed pricing route	deepseek-ai	Meta Model API
Model family	—	muse
Accepted inputs	text	text, image, video, audio, pdf
Produced outputs	text	text
Context window	1M	1.05MHigher
Max output	384KHigher	131.07K
Input price / 1M	$0.14	From $1.25
Output price / 1M	$0.28	From $4.25
Reasoning mode	Documented	Documented
Tool calling	Documented	Documented
Image input	Not documented	Documented
Audio input	Not documented	Documented
Structured output	Not documented	Documented
License	Not documented	Proprietary

deepseek-ai/DeepSeek-V4-Flash vs Muse Spark 1.1

deepseek-ai/DeepSeek-V4-Flash

Muse Spark 1.1

Key differences

Pricing, limits and capabilities

Which model should you choose?

Documentation and model profiles

Questions people ask

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