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Model details

Muse Spark 1.2

Muse Spark 1.2 is positioned as a code-focused model powering a terminal agent for complex software-engineering work. Its practical scope includes planning changes, writing code, and validating results across large repositories, making it a fit for developers who want an agent to carry out multi-step implementation tasks in a command-line workflow.

The associated agent combines a main loop with asynchronous background agents that remain active throughout a session, allowing it to coordinate specialized work and communicate results as the task progresses. A local event log records model calls, tool runs, approvals, and edits, making the runtime replay-exact and restart-safe after interruptions. These features support long-running workflows, while the announcement frames Spark 1.2 as an intermediate step toward larger and more capable models.

Merge Gatewaymeta/muse-spark-1.2muse

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Merge Gateway
Model key
meta/muse-spark-1.2
Release date
Aug 5, 2026
Last updated
Aug 5, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.25
Output token cost
$4.25

Limits

Output tokens
262,144 tokens
Context window
1,048,576 tokens

Transparent token rates

Compare Muse Spark 1.2 pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Muse Spark 1.2

Meta

Coverage

A primary-source dissection of Muse Code and Muse Spark 1.2 confirms that Meta announced both on August 5, 2026, with Muse Code positioned as a terminal-based coding agent and 1.2 as the model trained to run inside it. The analysis draws on the official Meta AI Research blog and the evaluation methodology report, organ On measurement, the article walks through Meta's actual benchmark figures for 1.2 rather than relying on chart images, and reports a case where GPU kernel optimization required roughly 24 hours of model time, illustrating the practical cost ceiling for long-horizon agentic runs on the standard tier. It also restates th

Opper

Coverage

CNBC reported on August 10, 2026 that Meta CEO Mark Zuckerberg announced in an Instagram video that the company would open the weights of its latest model, Muse Spark 1.2, making the parameters downloadable and usable by the public. Zuckerberg framed the move as a competitive response to both U.S. closed-model labs lik The same announcement introduced Muse Glimmer, a new family of open-source models designed to run on laptops, positioned alongside the open-weight Muse Spark 1.2 release. The article places the decision within investor scrutiny of Meta's Superintelligence Labs capital expenditure plans, which Meta has forecast at up to

Meta

Coverage

Meta released Muse Spark 1.2 on August 5, 2026 alongside the beta of Muse Code, a terminal-based coding agent that Meta co-trained with the model rather than leaving harness development to the ecosystem. The published Meta Model API list rate is $1.25 per million input tokens and $4.25 per million output tokens on the Beyond pricing and packaging, the launch guide notes that Meta published benchmark charts for Muse Spark 1.2 only as images rather than as raw numbers in body text, which limits independent verification of headline scores and is a meaningful caveat for any team evaluating the model. The contributor-tier discount is exp

Opper

CoverageBenchmark

Artificial Analysis published a benchmark-driven breakdown of Muse Spark 1.2 on August 5, 2026, giving the model an Intelligence Index score of 54 (xhigh) — up three points from Muse Spark 1.1 and eleven points from the April Muse Spark 1.0 release. The piece credits Meta Superintelligence Labs for early access and pla Agentic knowledge-work gains drive the update: GDPval-AA v2 Elo rises 260 points to 1631 (fifth among all models benchmarked and ahead of Claude Opus 4.8), Terminal-Bench v2.1 improves from 78% to 80%, and τ³-Banking edges from 25% to 27%. The AA-Omniscience abstention rate climbs from 18 to 22 as hallucination falls 1

Merge Gateway

Coverage

Meta debuted Muse Spark 1.2 on August 5, 2026 as a coding-centric update to its Muse Spark model line, released through Meta Superintelligence Labs (MSL). According to Yahoo Finance, Spark 1.2 ships alongside Muse Code, the first coding agent from MSL, which serves as the harness running the model and positions Meta to The Muse Spark launch forms part of Meta's broader AI rebuild after its Llama models underwhelmed developers last year, an effort driven by chief AI officer Alexandr Wang following Scale AI's $14.3 billion acquihire. The release sequence spans Muse Spark, Spark 1.1, Spark 1.2, the Muse Image image generation model, and

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