SSyncDev

AI model comparison

Muse Spark 1.1 vs GPT-Realtime-2.1

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

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. GPT-Realtime-2.1 from OpenAI lists 128K context, 32K maximum output, $4.00 input per 1M tokens, $24.00 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

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 ↗
VS

OpenAI

GPT-Realtime-2.1

GPT-Realtime-2.1 from OpenAI: Realtime speech-to-speech model with configurable reasoning, tool use, and robust voice-agent behavior.

Context
128K
Max output
32K
Input / 1M tokens
$4.00
Output / 1M tokens
$24.00

Accepts

  • Text input
  • Audio input
  • Image input

Produces

  • Text output
  • Audio output
Full model profilegithub.com ↗

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

Muse Spark 1.1:1.05M

GPT-Realtime-2.1:128K

Muse Spark 1.1

Maximum output

Higher listed limit

Muse Spark 1.1:131.07K

GPT-Realtime-2.1:32K

Muse Spark 1.1

Specifications

Pricing, limits and capabilities

Specifications for Muse Spark 1.1 and GPT-Realtime-2.1. Higher limits and lower prices describe these figures only.
SpecificationMuse Spark 1.1GPT-Realtime-2.1
ProviderMetaOpenAI
Listed pricing routeMeta Model APIOpenAI
Model familymusegpt
Accepted inputstext, image, video, audio, pdftext, audio, image
Produced outputstexttext, audio
Context window1.05MHigher128K
Max output131.07KHigher32K
Input price / 1MFrom $1.25$4.00
Output price / 1MFrom $4.25$24.00
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputDocumentedDocumented
Structured outputDocumentedNot documented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

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

Compare a different pair

Search by model or provider to explore another comparison.

Open model comparison