GPT Audio vs Muse Spark 1.1
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT Audio and Muse Spark 1.1.
GPT Audio
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 1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context...
Technical Specifications
| Specification | GPT Audio | Muse Spark 1.1 |
|---|---|---|
| Provider | OpenAI | Meta |
| Context Window | 128,000 tokens | 1,048,576 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2026-01-19 | 2026-07-16 |
API Pricing Comparison
Input Price per Million Tokens
GPT Audio
$2.50
Muse Spark 1.1
$1.25
Output Price per Million Tokens
GPT Audio
$10.00
Muse Spark 1.1
$4.25
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
GPT Audio Quirks & Gotchas
No developer gotchas reported.
Muse Spark 1.1 Quirks & Gotchas
No developer gotchas reported.