GPT Audio Paid vs 
Muse Spark 1.3 Contributor Paid
GPT Audio vs Muse Spark 1.3 Contributor compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
GPT Audio — full profile › · Muse Spark 1.3 Contributor — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$10 /M outputManaged API (no infra to run)
$0.2 /M outputManaged API (no infra to run)
GPT Audio vs Muse Spark 1.3 Contributor specs
| Spec | GPT Audio | Muse Spark 1.3 Contributor | Winner |
|---|---|---|---|
| Maker | OpenAI | Meta | – |
| Type | Proprietary | Proprietary | – |
| Context window | 128K tokens | 1M tokens | |
| Input price | $2.5/M | $0.1/M | |
| Output price | $10/M | $0.2/M | |
| Vision / multimodal | No | Yes | |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Price gap & when to choose each
Muse Spark 1.3 Contributor is ~50× cheaper than GPT Audio on output tokens ($0.2 vs $10 per M tokens).
- You want frontier performance through a managed API
- You value reliability & ecosystem
- You don't want to manage infrastructure
- 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
| Capability | GPT Audio | Muse Spark 1.3 Contributor |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✗ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✓ |
How GPT Audio and Muse Spark 1.3 Contributor score
| Criterion | GPT Audio | Muse Spark 1.3 Contributor |
|---|---|---|
| Cost-efficiency | 3.5 | 5.0 |
| Context window | 3.5 | 5.0 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 3.5 | 5.0 |
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
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 1.3 Contributor Paid
Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...
Frequently asked questions
GPT Audio vs Muse Spark 1.3 Contributor — which is cheaper?
Muse Spark 1.3 Contributor is cheaper on output ($0.2/M vs $10/M).
Which has the larger context window?
Muse Spark 1.3 Contributor offers the larger context window (1M tokens).
GPT Audio vs Muse Spark 1.3 Contributor — which should I pick in 2026?
Choose Muse Spark 1.3 Contributor for the lower output price ($0.2/M vs $10/M). It also gives you the larger 1M context window.
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