Muse Spark 1.1

Meta released 2026-07-16

$2.00 per million tokens, balanced

Gemini 3.7 Flash is both better and cheaper.

It scores +2.8 higher and costs 63% less ($0.750/M against $2.00/M) on this workload — and it does everything this model does.

DeepSeek V4 Pro 0813 is cheaper still (16% less) but drops no image, video, file, audio input.

Every price dimension

Input$1.25/M
Output$4.25/M
Cached input$0.150/M
Web search$0.0025/call

Independent scores

Intelligence53.2
Coding71.3
Agentic39.7
LMArena Elo1478.3default

Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.

Best rankings by task

  • asciiart #2of 83 1325
  • agenticgamedev #8of 34 1190
  • htmlslides #8of 34 1206
  • svg #9of 98 1268
  • uicomponent #10of 140 1321
  • gamedev #12of 144 1317
  • codecategories #13of 145 1303
  • dataviz #13of 142 1301

Capability

Context window1.0M
Input modestext, image, video, file, audio
Tool useyes
Reasoningalways on

Provenance

Price sourceopenrouter.ai
Fetched2026-08-24
Quality dataverified

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context...

Markdown for LLMs