AI Models · Paid vs Paid

GPT Audio Paid vs Muse Spark 1.2 Paid

GPT Audio vs Muse Spark 1.2 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

GPT AudioPaidOpenAI
$2.5 /M input
$10 /M outputManaged API (no infra to run)
TypeProprietary
Context window128K tokens
MultimodalNo
Self-hostNo
Muse Spark 1.2PaidMeta
$1.25 /M input
$4.25 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
Choose Muse Spark 1.2 for the lower output price ($4.25/M vs $10/M). It also gives you the larger 1M context window.

GPT Audio vs Muse Spark 1.2 specs

SpecGPT AudioMuse Spark 1.2Winner
MakerOpenAIMeta
TypeProprietaryProprietary
Context window128K tokens1M tokensMuse Spark 1.2
Input price$2.5/M$1.25/MMuse Spark 1.2
Output price$10/M$4.25/MMuse Spark 1.2
Vision / multimodalNoYesMuse Spark 1.2
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

2.4×cheaper per output token

Muse Spark 1.2 is ~2.4× cheaper than GPT Audio on output tokens ($4.25 vs $10 per M tokens).

Choose GPT Audio if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose Muse Spark 1.2 if…
  • You want frontier performance through a managed API
  • You need the longer 1M context window
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityGPT AudioMuse Spark 1.2
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: GPT Audio vs Muse Spark 1.2

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

GPT Audio
Muse Spark 1.2
Intelligence index
39.8
Coding index
72.2
GPQA
90.4%
Humanity's Last Exam
45.5%
Long Context Reasoning
79%
SciCode
57.4%
τ-Bench Banking
34.8%
Terminal-Bench
80.1%
Speed
250.1 tok/s
Latency
10.81s
Intelligence per $
19.9

Benchmark data by Artificial Analysis.

How GPT Audio and Muse Spark 1.2 score

🏆 Best value & openness: Muse Spark 1.2 (3.3 vs 2.6 / 5)
CriterionGPT AudioMuse Spark 1.2
Cost-efficiency3.54.0
Context window3.55.0
Openness1.51.5
Self-hosting1.01.0
Multimodality3.55.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

GPT Audio Paid

OpenAI · Proprietary

The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...

Muse Spark 1.2 Paid

Meta · Proprietary

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context...

Frequently asked questions

GPT Audio vs Muse Spark 1.2 — which is cheaper?

Muse Spark 1.2 is cheaper on output ($4.25/M vs $10/M).

Which has the larger context window?

Muse Spark 1.2 offers the larger context window (1M tokens).

GPT Audio vs Muse Spark 1.2 — which should I pick in 2026?

Choose Muse Spark 1.2 for the lower output price ($4.25/M vs $10/M). It also gives you the larger 1M context window.

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