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Muse Spark 1.1

ModelActive
by Meta · family “muse-spark”

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context window.... (description from the OpenRouter listing)

in: textin: imagein: videoin: fileout: textReasoningTool useStructured output
Epoch Capabilities Index
154.3 #33 of 268
90% CI 151.6 – 157.3
Listing ↗
Released
9 Jul 2026
Context window
1.05M tokens
Max output
944K tokens
Input $ / 1M tokens
$1.25
Output $ / 1M tokens
$4.25
Cached input $ / 1M
$0.15
Each benchmark shown separately with its own source

Benchmark results (6)

BenchmarkDomainScorevs best recordedSettingRunSource
LMCAagents49.9%
73%
high—External ↗
DTBenchreasoning94.4%
95%
high—External ↗
Surface Evolver Benchscience52.5%
55%
high—External ↗
DeepSWEcoding53.3%
72%
——External ↗
ProofBenchmath39.0%
39%
——External ↗
SimpleQA Verifiedknowledge57.8% ±1.6
76%
—31 Aug 2026Eval log ↗

Source: Epoch AI Benchmarking Hub (CC BY 4.0). “External” rows are leaderboard results Epoch collects from third parties. Best reported setting per benchmark is shown.

API list price over time

Price history

$ per 1M tokens

4 recorded prices on 17 Jul 2026 (OpenRouter listing + Internet Archive snapshots); re-read on every data refresh, most recently 11h ago. Steps show when the price changed.

Events