Specifications
Context Window
—
Input Price/1M
$1.25
Output Price/1M
$4.25
Parameters
—
Speed
216 tok/s
Latency (TTFT)
2.7s
Benchmarks
Muse Spark 1.1 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 71.3 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 53.2 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 89.8 | 100.0 | Artificial Analysis official API |
Information
- Release date
- July 09, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Muse Spark 1.1
What is Muse Spark 1.1?
Muse Spark 1.1 is an AI model developed by Meta, classified as a codigo 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 1.1 is usage-based, priced at $1.25/1M input tokens and $4.25/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
Muse Spark 1.1 was evaluated on 3 different benchmarks, covering categories like Coding, overall, Reasoning. Results show solid 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 1.1 specializes in codigo, offering advanced capabilities for creating and processing codigo content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Muse Spark 1.1 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 1.1?
Muse Spark 1.1 is an AI model developed by Meta. It is a codigo model.
How much does Muse Spark 1.1 cost?
Muse Spark 1.1 costs $1.25/1M input tokens and $4.25/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Muse Spark 1.1 compare with other models?
In available benchmarks, Muse Spark 1.1 scored: AA Coding Index: 71.3/100, AA Intelligence Index: 53.2/100, GPQA Diamond: 89.8/100. See the full table above for a detailed comparison.
Is Muse Spark 1.1 open source?
No, Muse Spark 1.1 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 1.1 best for?
Muse Spark 1.1 excels at general-purpose language tasks.
Last updated: August 10, 2026 • View methodology →