GPT-4.1 Paid vs 
Muse Spark 1.2 Contributor Paid
GPT-4.1 vs Muse Spark 1.2 Contributor compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
GPT-4.1 — full profile › · Muse Spark 1.2 Contributor — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$8 /M outputManaged API (no infra to run)
$0.2 /M outputManaged API (no infra to run)
GPT-4.1 vs Muse Spark 1.2 Contributor specs
| Spec | GPT-4.1 | Muse Spark 1.2 Contributor | Winner |
|---|---|---|---|
| Maker | OpenAI | Meta | – |
| Type | Proprietary | Proprietary | – |
| Context window | 1M tokens | 1M tokens | |
| Input price | $2/M | $0.1/M | |
| Output price | $8/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 1.2 Contributor is ~40× cheaper than GPT-4.1 on output tokens ($0.2 vs $8 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-4.1 | Muse Spark 1.2 Contributor |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✓ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✓ |
Benchmarks: GPT-4.1 vs Muse Spark 1.2 Contributor
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How GPT-4.1 and Muse Spark 1.2 Contributor score
| Criterion | GPT-4.1 | Muse Spark 1.2 Contributor |
|---|---|---|
| Cost-efficiency | 3.5 | 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-4.1 Paid
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
Muse Spark 1.2 Contributor Paid
Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...
Other models in these families
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Frequently asked questions
GPT-4.1 vs Muse Spark 1.2 Contributor — which is cheaper?
Muse Spark 1.2 Contributor is cheaper on output ($0.2/M vs $8/M).
Which has the larger context window?
Muse Spark 1.2 Contributor offers the larger context window (1M tokens).
GPT-4.1 vs Muse Spark 1.2 Contributor — which should I pick in 2026?
Choose Muse Spark 1.2 Contributor for the lower output price ($0.2/M vs $8/M). It also gives you the larger 1M context window.
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