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AI model comparison

google/gemma-4-31B-it vs Muse Spark 1.1

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

google/gemma-4-31B-it from google lists 262.14K context, 32.77K maximum output. 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

google

google/gemma-4-31B-it

google/gemma-4-31B-it is a source-linked Hugging Face repository assigned to Image-text-to-text. Its recorded task interface accepts image, text and produces text.

Context
262.14K
Max output
32.77K

Accepts

  • Image input
  • Text input

Produces

  • Text output
Full model profileModel card on Hugging Face ↗
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
Full model profiledev.meta.ai ↗

At a glance

Key differences

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

Muse Spark 1.1

  • Context capacity: 1.05M
  • Maximum output: 131.07K

Context capacity

Higher listed limit

google/gemma-4-31B-it:262.14K

Muse Spark 1.1:1.05M

Muse Spark 1.1

Maximum output

Higher listed limit

google/gemma-4-31B-it:32.77K

Muse Spark 1.1:131.07K

Muse Spark 1.1

Specifications

Pricing, limits and capabilities

Specifications for google/gemma-4-31B-it and Muse Spark 1.1. Higher limits and lower prices describe these figures only.
Specificationgoogle/gemma-4-31B-itMuse Spark 1.1
ProvidergoogleMeta
Listed pricing routegoogleMeta Model API
Model family—muse
Accepted inputsimage, texttext, image, video, audio, pdf
Produced outputstexttext
Context window262.14K1.05MHigher
Max output32.77K131.07KHigher
Input price / 1M—From $1.25
Output price / 1M—From $4.25
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedDocumented
Structured outputNot documentedDocumented
LicenseNot documentedProprietary

Workload guidance

Which model should you choose?

Consider Muse Spark 1.1 if you need larger context or larger maximum output. google/gemma-4-31B-it 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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