Muse Spark
Meta • llm
Grande modelo de linguagem (llm) desenvolvido pela Meta — Intelligence Index 52/100 no Artificial Analysis; acesso gratuito.
Specifications
Context Window
—
Input Price/1M
—
Output Price/1M
—
Parameters
—
Benchmarks
Muse Spark results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 45.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 52.0 | 100.0 | — |
| AA Coding Index | 47.5 | 100.0 | Artificial Analysis official API |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 70.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 52.2 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 88.0 | 100.0 | Artificial Analysis official API |
| IFBench | 76.0 | 100.0 | — |
| HLE | 40.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 92.0 | 100.0 | — |
Information
- Release date
- April 08, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Muse Spark
What is Muse Spark?
Muse Spark is an AI model developed by Meta, classified as a llm model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Meta's cloud API.
Pricing & Costs in 2026
Muse Spark does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Meta's official website for up-to-date availability and pricing.
Benchmarks & Performance
Muse Spark was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Muse Spark is suitable for a wide range of AI applications: text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Muse Spark competes directly with similarly capable models. As an open source model, it competes with Qwen (Alibaba), Mistral, and DeepSeek, as well as proprietary models like GPT, Claude, and Gemini. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Muse Spark?
Muse Spark is an AI model developed by Meta. It is a llm model.
How much does Muse Spark cost?
Muse Spark does not have public per-token pricing available at this time. Check Meta's official website for up-to-date information.
How does Muse Spark compare with other models?
In available benchmarks, Muse Spark scored: Terminal-Bench Hard: 45/100, SciCode: 52/100, AA Coding Index: 47.5/100. See the full table above for a detailed comparison.
Is Muse Spark open source?
No, Muse Spark is a proprietary model from Meta. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Muse Spark best for?
Muse Spark excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →