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Muse Spark 1.2

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Muse Spark 1.2 is a closed-weights language model from Meta, released August 2026.

75.1±1.4#39 of 719 LLMsfrom 5 benchmark results across 2 sources

$ how it compares

The LLMs ranked either side of Muse Spark 1.2, out of 828 with a score, then more from Meta.

#modelscorewhereRAMreleased
38Qwen3.8-Omni-Flash Alibaba75±2api $0.23/M2026-09
39Gemini 3.1 Pro (Preview) Google75±1api $4.50/M2026-02
40Muse Spark 1.2 Meta75±1api $2.00/M2026-08
41Claude Opus 4.7 Anthropic75±1api $10.00/M2026-04
42Grok 4.5 SpaceXAI (xAI)75±1api $3.00/M2026-07
more from Meta
24Muse Spark 1.3 Meta77±1api $2.00/M2026-09
43Muse Spark 1.1 Meta75±1api $2.00/M2026-07
44Muse Spark Meta75±2comparison only2026-04

see all LLMs · find the ones that fit your machine

$ what it's good at

agent tasks▁▁▃▆█▆▅▅▅▄▃▁ #50 of 300 * · 34% of its score · 1 test

Beats Gemini 3.1 Pro (Preview) here, though they rank higher overall. Trails Claude Sonnet 4.6, Qwen3.8 27B, GLM-5.2 here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena Agent (October 2026 aggregate IPS)-0.0327 IPS ✎▁▁▁▄▂▃▇█▂▂▁▃ beats 13/49avg -0.312 IPS▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 34%sharp
coding▁▁▁▃▆██▇▆▄▃▁ #42 of 458 * · 30% of its score · 1 test

Beats GPT-5.5, GPT-5.6 Terra, GPT-5.4 here, though they rank higher overall. Trails Mistral Large 4 (public preview), Qwen3.8 27B, GLM-5.2 here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena WebDev (Code Arena)1531.8 ✎▁▂▄▃▅█▄▇▆▄▁▁ beats 79/119avg 981▇▇▇▇▇▇▇▇▇▇▇▇ 30%sharp
chat & writing▁▁▁▃▅▄▅█▆▆▇▃ #9 of 393 * · 17% of its score · 1 test

Beats GPT-6 Astra, GPT-6.1 Sol, Claude Sonnet 5.5 here, though they rank higher overall. Trails Claude Opus 4.6, Claude Opus 4.7 here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena (text)1493.5 ✎▁▁▁▂▃▃▃▆▆▇█▃ beats 371/379avg 1268▇▇▇▇▇▇▇ 17%blunt
vision & documents▁▁▃▂▁▃▄▂▆▇█▄ #8 of 147 * · 12% of its score · 1 test

Beats GPT-6 Astra, GPT-6.1 Sol, Claude Fable 5.1 here, though they rank higher overall. Trails Claude Opus 4.7 here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena vision (style controlled)1292.8 ✎▁▁▂▂▂▂▄▅▅▆██ beats 139/145avg 1068▇▇▇▇▇ 12%blunt
other tests1 not in a task · 6.8% of its score
testresultvs the others in its rundifficultycountswhy
SimpleQA Verified60.3% ✎▁▁▃▂▃▃▆▆█▃▂▅ beats 64/78very hard · avg 8.0%▇▇▇ 6.8%at its level

$ where to run it

Through an API

api · $2.00/M · $1.25 in / $4.25 out per 1M tokens · 1M context · dev.meta.ai ↗ · price sourceStandard base token rate from models.dev. Provider-specific tiers, long-context surcharges, caching and promotions may differ.

$ how the score was worked out · LMArena leaderboard dataset 92%, Epoch AI — internal evaluatio… 7%

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

sourceresultsshare of the scorelicence
LMArena leaderboard dataset4▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 92%CC BY 4.0
Epoch AI — internal evaluations1▇▇ 7%CC BY 4.0
prior · pull toward the middle▇ 1%
weighted average= 75.1

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data updated · sources and licences · json