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
How this price is scoped: Meta Model API standard-tier list price, per 1M tokens, with no long-context premium — the tier on which Meta states prompts and completions are not used for training. Meta's card prices 1.3, 1.2 and 1.1 off one shared standard-tier table. A cheaper contributor tier ($0.10 input / $0.20 output per 1M) trades training rights and a far lower rate limit (100 vs 3,000 requests/min) for the discount, so it is not the tracked list price. The "max" extended-reasoning effort level is a request parameter on this same model and Standard-tier rate, not a separately priced SKU. Search grounding is billed separately at $2.50 per 1,000 queries and is not included in the token rate.
Price receipt
We read Meta's own pricing page on and found muse-spark-1.3 listed with a price on the same tier — that read is where the number above comes from, recorded as a new model. We keep the page text we read; its content hash is 849e200423.
Overview
Meta's current flagship on the Meta Model API and the direct successor to Muse Spark 1.2 — a multimodal agentic model with a 1M-token context that takes text, image, video, audio and PDF input, tuned for multi-step tool use, browser and long-horizon agentic work with improved coding over 1.2. $1.25/$4.25 per 1M tokens, with cached input at $0.15 — the same list price Meta has charged for every Muse Spark version since 1.1. Like 1.1 and 1.2 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: 53 (Artificial Analysis composite across reasoning, knowledge and coding evals)
- AA Agentic Index: 55.6 (Tool use, planning, autonomy)
- AA-Omniscience Index: 24.9 (−100–100)
- GDPval-AA v2: 1720.2 ELO (Real-world work tasks, human baseline = 1000)
- Ranks #3 of 180 comparably-measured models by percentile score, across 4 independent measurements
- Ranks #55 of 180 comparably-tested models by normalized performance per dollar
Source: Artificial Analysis · updated · See full rankings →
Specifications
- Provider
- Meta
- Context window
- 1M tokens
- Modality
- text, image, video, audio
- Parameters
- Proprietary
- Open source
- No — proprietary
- Released
- Status
- Current
- Last updated
- Tags
Availability verified: — listed on Meta's own page