AI model comparison

DeepSeek Reasoner vs Muse Spark 1.1

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

DeepSeek Reasoner from DeepSeek lists 1M context, 384K maximum output, $0.14 input per 1M tokens, $0.28 output per 1M tokens. Muse Spark 1.1 from Meta lists 1.05M context, 131.07K maximum output, from $1.25 input per 1M tokens, from $4.25 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

DeepSeek

DeepSeek Reasoner

DeepSeek Reasoner from DeepSeek: DeepSeek reasoning model for multi-step analysis, math, coding, and tools.

Context
1M
Max output
384K
Input / 1M tokens
$0.14
Output / 1M tokens
$0.28

Accepts

  • Text input

Produces

  • Text output
VS

Meta

Muse Spark 1.1

Muse Spark 1.1 is Meta’s multimodal reasoning model for tool-assisted coding and agent workflows, with Standard API pricing and a 1M-token context.

Context
1.05M
Max output
131.07K
Input / 1M tokens
From $1.25
Output / 1M tokens
From $4.25

Pricing conditions: 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.

Accepts

  • Text input
  • Image input
  • Video input
  • Audio input
  • PDF input

Produces

  • Text output

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

DeepSeek Reasoner

  • Maximum output: 384K

Muse Spark 1.1

  • Context capacity: 1.05M

Context capacity

Higher listed limit

DeepSeek Reasoner:1M

Muse Spark 1.1:1.05M

Muse Spark 1.1

Maximum output

Higher listed limit

DeepSeek Reasoner:384K

Muse Spark 1.1:131.07K

DeepSeek Reasoner

Specifications

Pricing, limits and capabilities

Specifications for DeepSeek Reasoner and Muse Spark 1.1. Higher limits and lower prices describe these figures only.
SpecificationDeepSeek ReasonerMuse Spark 1.1
ProviderDeepSeekMeta
Listed pricing routeDeepSeekMeta Model API
Model familydeepseek-thinkingmuse
Accepted inputstexttext, image, video, audio, pdf
Produced outputstexttext
Context window1M1.05MHigher
Max output384KHigher131.07K
Input price / 1M$0.14From $1.25
Output price / 1M$0.28From $4.25
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedDocumented
Structured outputNot documentedDocumented
LicenseOpen weightsProprietary

Workload guidance

Which model should you choose?

Consider DeepSeek Reasoner if you need larger maximum output. Consider Muse Spark 1.1 if you need larger context. DeepSeek Reasoner 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.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

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.

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