GPT-6 Astra Pro (batch) Paid vs 
Muse Spark 1.3 Contributor Paid
GPT-6 Astra Pro (batch) vs Muse Spark 1.3 Contributor compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
GPT-6 Astra Pro (batch) — 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.
$25 /M outputManaged API (no infra to run)
$0.2 /M outputManaged API (no infra to run)
GPT-6 Astra Pro (batch) vs Muse Spark 1.3 Contributor specs
| Spec | GPT-6 Astra Pro (batch) | Muse Spark 1.3 Contributor | Winner |
|---|---|---|---|
| Maker | OpenAI | Meta | – |
| Type | Proprietary | Proprietary | – |
| Context window | 1.1M tokens | 1M tokens | |
| Input price | $5/M | $0.1/M | |
| Output price | $25/M | $0.2/M | |
| Vision / multimodal | Yes | Yes | = Tie |
| 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 ~125× cheaper than GPT-6 Astra Pro (batch) on output tokens ($0.2 vs $25 per M tokens).
- You want frontier performance through a managed API
- You need the longer 1.1M context window
- You value reliability & ecosystem
- You don't want to manage infrastructure
- You want frontier performance through a managed API
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | GPT-6 Astra Pro (batch) | Muse Spark 1.3 Contributor |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✓ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✓ |
How GPT-6 Astra Pro (batch) and Muse Spark 1.3 Contributor score
| Criterion | GPT-6 Astra Pro (batch) | Muse Spark 1.3 Contributor |
|---|---|---|
| Cost-efficiency | 3.0 | 5.0 |
| Context window | 5.0 | 5.0 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 5.0 | 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-6 Astra Pro (batch) Paid
GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://develope
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-6 Astra Pro (batch) vs Muse Spark 1.3 Contributor — which is cheaper?
Muse Spark 1.3 Contributor is cheaper on output ($0.2/M vs $25/M).
Which has the larger context window?
GPT-6 Astra Pro (batch) offers the larger context window (1.1M tokens).
GPT-6 Astra Pro (batch) 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 $25/M). Choose GPT-6 Astra Pro (batch) if you need the larger 1.1M context window.
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