AI model comparison

Gemini 2.5 Computer Use Preview vs Muse Spark 1.1

Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.

This Gemini 2.5 Computer Use Preview vs Muse Spark 1.1 comparison is designed for teams choosing between two production model records, not for declaring a universal winner. Gemini 2.5 Computer Use Preview by Google currently records 128K context, 64K maximum output, $1.25 input per 1M tokens, $10.00 output per 1M tokens. Muse Spark 1.1 by Meta records 1M context, 32K maximum output, $1.25 input per 1M tokens, $4.25 output per 1M tokens. The tables below separate documented capabilities, commercial limits, directory measurements, and source-linked benchmark evidence so you can see where the data is complete and where independent testing is still required.

Side-by-sideSpecs and pricing, compared

Google

Gemini 2.5 Computer Use Preview

Specialized Gemini 2.5 model for browser-control agents that automate UI tasks

Context
128K
Max output
64K
Input / 1M
$1.25
Output / 1M
$10.00
Output speed

Accepts

  • Text input
  • Image input

Produces

  • Text output
VS

Meta

Muse Spark 1.1

Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.

Context
1M
Max output
32K
Input / 1M
$1.25
Output / 1M
$4.25
Output speed

Accepts

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

Produces

  • Text output

At a glance

Decision snapshot

This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.

Where Gemini 2.5 Computer Use Preview leads in recorded data

  • Maximum output: 64K

Where Muse Spark 1.1 leads in recorded data

  • Context capacity: 1M
  • Output price: $4.25

Context capacity

Higher listed limit

Gemini 2.5 Computer Use Preview:128K

Muse Spark 1.1:1M

Muse Spark 1.1

Maximum output

Higher listed limit

Gemini 2.5 Computer Use Preview:64K

Muse Spark 1.1:32K

Gemini 2.5 Computer Use Preview

Input price

Lower recorded price

Gemini 2.5 Computer Use Preview:$1.25

Muse Spark 1.1:$1.25

Same recorded value

Output price

Lower recorded price

Gemini 2.5 Computer Use Preview:$10.00

Muse Spark 1.1:$4.25

Muse Spark 1.1

Output speed

Higher recorded throughput

Gemini 2.5 Computer Use Preview:

Muse Spark 1.1:

No complete comparison

Time to first token

Lower recorded latency

Gemini 2.5 Computer Use Preview:

Muse Spark 1.1:

No complete comparison

Intelligence Index

Higher directory index

Gemini 2.5 Computer Use Preview:

Muse Spark 1.1:

No complete comparison

Evidence

Verified shared benchmarks

A score appears only when both records include a verified source. It is not treated as a universal ranking.

These two models haven't been measured on the same benchmark yet, so there's nothing meaningful to chart. Comparing scores from different tests would tell you more about the tests than the models — the specs and pricing above are the better guide here.

Specifications

Pricing, limits and capabilities

SpecificationGemini 2.5 Computer Use PreviewMuse Spark 1.1
ProviderGoogleMeta
Model familygemini-promuse
Accepted inputstext, imagetext, image, pdf, video
Produced outputstexttext
Context window128K1MRecorded lead
Max output64KRecorded lead32K
Intelligence Index
Input price / 1M$1.25$1.25
Output price / 1M$10.00$4.25Recorded lead
Output speed
Time to first token
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseProprietaryProprietary
ReleasedOct 7, 2025Apr 8, 2026

Workload guidance

Which model should you choose?

Gemini 2.5 Computer Use Preview currently leads on larger maximum output. Muse Spark 1.1 currently leads on larger context, lower recorded output price. Choose according to the constraints that matter to your workload, then run the same representative prompts against both models before making a production commitment. Neither the larger number nor the lower price is automatically the better choice: prompt quality, tool reliability, modality support, rate limits, data policy, and provider implementation can change the result. Use this page to build a shortlist, confirm current terms in the linked sources, and validate quality, latency, and cost with your own traffic.

Provenance

Sources and data limits

Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.

Questions people ask

It compares recorded context and output limits, token prices, output speed, time to first token, Intelligence Index, modality support, tool and structured-output capabilities, release information, and only source-linked benchmarks verified on both records. Missing information is labeled rather than inferred.

Compare a different pair

Choose any two approved model records and review them with the same evidence rules.

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