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. We keep the page text we read; its content hash is b19ebc06c8.
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 better- AA Intelligence Index: 48.1 (Artificial Analysis composite across reasoning, knowledge and coding evals)
- AA-Omniscience Index: 25 (−100–100)
- GDPval-AA v2: 1681 ELO (Real-world work tasks, human baseline = 1000)
- LMSYS Chatbot Arena: 1494.4 ELO (Human preference)
- Ranks #50 of 101 benchmarked models by average score
- Ranks #10 of 196 comparably-measured models by percentile score, across 6 independent measurements
- Ranks #66 of 196 comparably-tested models by normalized performance per dollar
- Strongest at Terminal-Bench 2.1 — 86%, #6 of 48
227.6 tokens/sec output
Source: Artificial Analysis, Artificial Analysis (launch article, max effort), Artificial Analysis (text-only, no tools, max effort) · 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