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...
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Measured against all 386 chat models CoreAI serves, Meta: Muse Spark 1.2 sits at #25 for context capacity — 1.0M tokens, roughly 786,432 words or 1,573 pages of text in a single conversation. On price, it is the #137 cheapest of 180 standard-tier models by input cost. Released 2026-08-05, it is one of the 6 newest additions to the catalog. It supports step-by-step reasoning (thinking mode) and accepts image input.
Every model in this table is available on CoreAI — open the web app and run the same prompt through Meta: Muse Spark 1.2 and Meta: Muse Spark 1.1 side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00338 on Meta: Muse Spark 1.2's raw per-token rates; a heavy session with a 50K-token document costs about $0.084. On CoreAI you don't juggle these numbers — one subscription covers Meta: Muse Spark 1.2 and 300+ other models under a plan usage limit, with no API keys. See plans.
Meta: Muse Spark 1.2 handles 1.0M tokens of context — roughly 786,432 words, or about 1,573 pages of text in one conversation.
Meta: Muse Spark 1.2's underlying rates are $1.25 per 1M input tokens and $4.25 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
Yes — Meta: Muse Spark 1.2 accepts image input, so you can attach screenshots, photos or diagrams and ask questions about them.
Yes. Meta: Muse Spark 1.2 can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.
Open the CoreAI web app or the iOS/Android app, pick Meta: Muse Spark 1.2 in the model selector, and chat — no API key, no per-token billing. One subscription covers Meta: Muse Spark 1.2 and 300+ other models.
The closest alternatives on CoreAI are Meta: Muse Spark 1.1, Google: Gemini 3.6 Flash, inclusionAI: Ling-2.6-flash — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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