Muse Spark 1.2
by Meta
Today's price · per 1M tokens
Input
$1.25
per 1M tokens
Output
$4.25
per 1M tokens
Blended
$2.00
blended $/1M — 3:1 weighted input:output
Cached input
$0.150
12% of input — prompt caching
Overview
Meta's current flagship on the Meta Model API and the direct successor to Muse Spark 1.1 — a multimodal agentic model with a 1M-token context that takes text, image, video, audio and PDF input, retrained for coding, whole-repository work and computer use. $1.25/$4.25 per 1M tokens, with cached input at $0.15 — the same list price as Muse Spark 1.1. Like 1.1 it is API-only: there are no open weights.
Capabilities
struck through = not supportedBenchmark performance
accuracy % · higher is betterWe hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.
- AA Intelligence Index: 54.1 (Artificial Analysis composite across reasoning, knowledge and coding evals)
- AA Agentic Index: 46.8 (Tool use, planning, autonomy)
- AA-Omniscience Index: 21.5 (−100–100)
- GDPval-AA v2: 1630.9 ELO (Real-world work tasks, human baseline = 1000)
- Ranks #5 of 145 comparably-measured models by percentile score, across 4 independent measurements
- Ranks #50 of 145 comparably-tested models by normalized performance per dollar
Source: Artificial Analysis · updated Aug 6, 2026 · See full rankings →
Specifications
- Provider
- Meta
- Context window
- 1M tokens
- Modality
- text, image, video, audio
- Parameters
- Proprietary
- Open source
- No — proprietary
- Released
- Aug 5, 2026
- Status
- Current
- Last updated
- Aug 6, 2026
- Tags
Availability verified: Aug 6, 2026 — listed on Meta's own page