Context Window
—
Input Price/1M
$1.25
Output Price/1M
$4.25
Parameters
—
Speed
117 tok/s
Latency (TTFT)
843ms
Muse Spark 1.1 (xhigh) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 71.3 | 100.0 | Artificial Analysis official API |
| SciCode | 58.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 63.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LMArena Elo | 1493.0 | 2000.0 | Crowdsourced blind pairwise comparisons |
| AA Intelligence Index | 50.6 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 90.0 | 100.0 | Artificial Analysis official API |
| HLE | 45.0 | 100.0 | — |
Muse Spark 1.1 (xhigh) 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 1.1 (xhigh) 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 1.1 (xhigh) was evaluated on 7 different benchmarks, covering categories like Coding, Long Context, overall, Reasoning. 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.
Muse Spark 1.1 (xhigh) specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, Muse Spark 1.1 (xhigh) 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 1.1 (xhigh) is an AI model developed by Meta. It is a text model.
Muse Spark 1.1 (xhigh) 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 1.1 (xhigh) scored: AA Coding Index: 71.3/100, SciCode: 58/100, AA-LCR: 63/100. See the full table above for a detailed comparison.
No, Muse Spark 1.1 (xhigh) is a proprietary model from Meta. It is available via cloud API. For open source alternatives, check our open source model ranking.
Muse Spark 1.1 (xhigh) excels at general-purpose language tasks.
Last updated: July 17, 2026 • View methodology →