ModelPriceWatch.com
Last scan 2026-09-15 Models tracked 259 Providers 32 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Muse Spark 1.1

by Meta

Current flagship mid tier

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 list price, per 1M tokens, with no long-context premium. Search grounding is billed separately at $2.50 per 1,000 queries and is not included in the token rate. Public preview was US-only at launch.

Source: official Meta pricing · read MODELPRICEWATCH.COM · 2026-09-15

Price receipt

We read Meta's own pricing page on and found muse-spark-1.1 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 c516ac5465.

Overview

Meta's first proprietary, paid-API model and the flagship of the new Meta Model API — a multimodal agentic model with a 1M-token context that takes text, image, video, audio and PDF input. Built for tool calling, computer use and coding. $1.25/$4.25 per 1M tokens, with cached input at $0.15. Unlike Llama, it is API-only: there are no open weights.

Capabilities

struck through = not supported
Input 4/5
Text Image Audio Video PDF
Output 1/5
Text Image Audio Video Embedding
Features 4/9
Prompt caching Reasoning Coding Fast inference Long context Open weights Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Avg benchmark score61.5%
Perf per $/Mtok30.8
Terminal-Bench 2.1
78%
MCP Atlas vendor
88.1%
OSWorld-Verified vendor
80.8%
Humanity's Last Exam
45%
Independent composite scores
  • AA Intelligence Index: 34.3 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: 28.1 (−100–100)
  • GDPval-AA v2: 1370.6 ELO (Real-world work tasks, human baseline = 1000)
  • LMSYS Chatbot Arena: 1492.6 ELO (Human preference)
How it stacks up
  • Ranks #57 of 84 benchmarked models by average score
  • Ranks #40 of 181 comparably-measured models by percentile score, across 6 independent measurements
  • Ranks #89 of 181 comparably-tested models by normalized performance per dollar
  • Strongest at Humanity's Last Exam — 45%, #23 of 65

206 tokens/sec output

Source: Artificial Analysis, LMSYS Chatbot Arena (UC Berkeley), Meta evaluation report · 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
flagshipmultimodalagenticreasoningcaching

Availability verified: listed on Meta's own page