Meta • text#25 of 704 in intelligence
Data source: Artificial Analysis · ID AA: 9999672c-b687-4026-9c15-5cef02ff53bb · Snapshot published: 10/27/2026, 6:00:26 PM · Methodology version: 4.3
AA Intelligence Index
48.1
Artificial Analysis · 4.3 · 10/27/2026, 6:00:26 PM
Context Window
—
Input Price/1M
$1.25
#275 of 445
Output Price/1M
$4.25
Parameters
—
Cost per Task
$1.3146
USD / task · lower is better · Artificial Analysis · 4.3 · 10/27/2026, 6:00:26 PM
Artificial Analysis metrics for Muse Spark 1.3 (Max). Higher is better for capability indexes; lower is better for cost per task.
| Benchmark | Score | Maximum | Methodology | Source / version / date |
|---|---|---|---|---|
| AA Agentic Index | 55.5 | 100.0 | Artificial Analysis official API | Artificial Analysis · 4.3 · 10/27/2026 |
| Benchmark | Score | Maximum | Methodology | Source / version / date |
|---|---|---|---|---|
| AA Coding Index | 75.8 | 100.0 | Artificial Analysis official API | Artificial Analysis · 4.3 · 10/27/2026 |
| Benchmark | Score | Maximum | Methodology | Source / version / date |
|---|---|---|---|---|
| AA Cost Per Task | 1.3 | 100.0 | Artificial Analysis official API | Artificial Analysis · 4.3 · 10/27/2026 |
| Benchmark | Score | Maximum | Methodology | Source / version / date |
|---|---|---|---|---|
| AA Intelligence Index | 48.1 | 100.0 | Artificial Analysis official API | Artificial Analysis · 4.3 · 10/27/2026 |
Muse Spark 1.3 (Max) is an AI model developed by Meta, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Meta's cloud API.
Muse Spark 1.3 (Max) 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.
Muse Spark 1.3 (Max) was evaluated on 4 different benchmarks, covering categories like Agentic, Coding, Cost, overall. Results show moderate 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.
Muse Spark 1.3 (Max) specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, Muse Spark 1.3 (Max) 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.
Muse Spark 1.3 (Max) is an AI model developed by Meta. It is a text model.
Muse Spark 1.3 (Max) 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.
In available benchmarks, Muse Spark 1.3 (Max) scored: AA Agentic Index: 55.5/100, AA Coding Index: 75.8/100, AA Cost Per Task: 1.3146/100. See the full table above for a detailed comparison.
No, Muse Spark 1.3 (Max) is a proprietary model from Meta. It is available via cloud API. For open source alternatives, check our open source model ranking.
Muse Spark 1.3 (Max) excels at general-purpose language tasks.
Last updated: October 27, 2026 • View methodology →