Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...
9 providers
Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context...
14 providers
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context...
12 providers
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Meta: Muse Spark 1.3meta/muse-spark-1.3 | Meta |
1365.0 | 1.04858M | $1.25 | $4.25 | 2026-09-02 | ||
| Meta: Muse Spark 1.2meta/muse-spark-1.2 | Meta |
1323.0 | 1.04858M | $1.25 | $4.25 | 2026-08-05 | ||
| Meta: Muse Spark 1.1meta/muse-spark-1.1 | Meta |
1298.0 | 1.04858M | $1.25 | $4.25 | 2026-04-08 | ||
| Meta: Llama 4 Maverickmeta-llama/llama-4-maverick | Meta |
860.0 | 128K | $0.2 | $0.696 | — | ||
| Meta: Llama 4 Scoutmeta-llama/llama-4-scout | Meta |
796.0 | 327.68K | $0.1 | $0.3 | — |