Everything about Muse Spark 1.2

Muse Spark 1.2 at a glance

Muse Spark 1.2 is a language model from Meta, released on August 5, 2026. That makes it 2 months old as of October 22, 2026. It is a closed model: you access it through an API, from Meta or one of the 20 providers listed on models.dev. It has a reasoning mode: it can "think" before answering, which helps with multi-step problems but uses more tokens, and therefore more money.

We file it under mid-range models (34 models in this category on the site).

What it costs

Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens (developer's price, checked on October 22, 2026).

To put it in perspective: reading 20,000 tokens (about thirty pages) and writing 2,000 costs roughly $0.034; a thousand of those tasks, $33.5.

That is in line with mid-range models, whose median output price is $4.38.

Tokens read back from cache cost $0.15 per million, which helps an agent that keeps resending the same context.

To estimate your own budget, use the agent cost calculator.

What do independent benchmarks say?

Epoch AI publishes a single result for Muse Spark 1.2 on our basket's benchmarks: too few to compute a reliable capability index.

• APEX-Agents (professional tasks carried out by an agent): 45.4% — the best tracked model, Gemini 4 Argon, reaches 82.4%

Context and capabilities

Its context window reaches 1,048,576 tokens, roughly 1,573 pages of text at 500 words per page: enough to load a whole book or a mid-sized codebase. A single answer can run to 131,072 tokens.

It accepts as input: text, image, video, PDF and audio.

It can call tools (functions, APIs) and return structured JSON output, which makes it a possible foundation for an AI agent.

Who is it for?

Given its category, Muse Spark 1.2 is mainly aimed at a balance between quality and cost, for everyday uses that do not justify a frontier model.

Its very large context window makes it worth considering for analysing large sets of documents in a single request.

Before adopting it, test it on your own examples: benchmarks measure standard tasks, not your job.

Comparable models

In the same category, the models closest to Muse Spark 1.2 are:

• Muse Spark 1.1 (Meta, $4.25 per million output tokens)
• Mistral Large 4 (Mistral AI, index 79.7)
• GPT-5.4 mini (OpenAI, index 68.4)
• Sakana Namazu (Sakana AI, $4 per million output tokens)