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Muse Spark 1.1

Meta

Strongest in Computer use (#3 of 68, on 1 of its 2 boards), weakest in Toxicity avoidance (#156 of 268). Above par in 22 of 25 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of Gemini 3.1 Pro and GPT-6 Sol.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Safety59.8#7/329
Jailbreak resistance63.6#6/268
Harm refusal59.9#9/292
Fairness67.9#16/292
Secure code56.9#97/270
Toxicity avoidance52.6#156/268
Professional58#10/194
Finance61.3#4/162
Medical57.5#26/149
Legal55.3#45/173
Human preference65.4#12/354
Human preference65.4#12/354
Coding54.7#39/179
Agentic coding54.9#40/173
Agents56.1#46/298
Computer use65.7#3/68
Knowledge work52.8#79/208
Knowledge53.9#46/197
Academic knowledge59.4#17/123
Reasoning52.2#76/195
Science60.5#23/122
Mathematics47.2#97/152
Core abilities49.2#108/199
Instruction following52.9#30/62
Language45#46/62

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Muse Spark 1.1, left for the other.

Jamba 1.6 Miniwon 15 · lost 0
Jamba 1.6 Largewon 15 · lost 0
Command R+won 15 · lost 0
MiMo V2.5won 15 · lost 0
Gemini 2.5 Flash-Litewon 16 · lost 0
Inkling Smallwon 16 · lost 0
Mistral Medium 3.5won 16 · lost 0
Gemini 1.5 Prowon 17 · lost 0
GPT-5.4 miniwon 18 · lost 0
Gemini 3.5 Flash-Litewon 18 · lost 0
Gemini 2.0 Flashwon 20 · lost 0
GPT-4.1 miniwon 21 · lost 1
DeepSeek V3won 21 · lost 1
Command Awon 20 · lost 1
Llama 4 Scout Instructwon 19 · lost 1
GPT-5.4 nanowon 18 · lost 1
Llama 3.3 70B Instructwon 17 · lost 1
Gemma 4 31Bwon 17 · lost 1
Magistral Small 1.2won 16 · lost 1
Mistral Large 3won 16 · lost 1
Gemini 1.5 Flashwon 15 · lost 1
Kimi K2.6won 23 · lost 2
Grok 4.3won 22 · lost 2
GPT-4.1 nanowon 20 · lost 2
GPT OSS 120Bwon 20 · lost 2
GPT-4o miniwon 19 · lost 2
GPT-4owon 19 · lost 2
Gemini 2.5 Flashwon 19 · lost 2
Claude Haiku 4.5won 19 · lost 2
MiMo V2.5 Prowon 19 · lost 2
Grok 3won 18 · lost 2
Ling 3.0 Flashwon 16 · lost 2
Qwen3.6 Pluswon 16 · lost 2
Grok 3 Miniwon 15 · lost 2
GPT-6 Lunawon 20 · lost 3
Grok Build 0.1won 13 · lost 2
MiniMax M2.5won 13 · lost 2
GLM-5won 13 · lost 2
DeepSeek V3.2won 19 · lost 3
GLM-4.6won 19 · lost 3
O3 Miniwon 18 · lost 3
Claude 3.7 Sonnetwon 18 · lost 3
GPT-4.1won 18 · lost 3
GPT OSS 20Bwon 17 · lost 3
Claude Opus 4won 17 · lost 3
Grok 4.1 Fastwon 17 · lost 3
GLM-4.5won 15 · lost 3
Qwen3.8 27Bwon 15 · lost 3
Claude Sonnet 4won 19 · lost 4
Kimi K2.5won 19 · lost 4
Claude Sonnet 4.5won 19 · lost 4
Gemini 3.1 Flash-Litewon 14 · lost 3
GPT-5 miniwon 18 · lost 4
Gemini 2.5 Prowon 18 · lost 4
GLM-4.7won 13 · lost 3
Kimi K2won 17 · lost 4
Qwen3 235B A22B Instructwon 17 · lost 4
Kimi K2.7 Codewon 12 · lost 3
Claude 3.5 Haikuwon 16 · lost 4
GLM-5.1won 16 · lost 4
MiniMax M3won 20 · lost 5
GLM-5.3 Flashwon 20 · lost 5
DeepSeek V4 Flashwon 19 · lost 5
GLM-5.2won 19 · lost 5
O1won 15 · lost 4
Kimi K2 Thinkingwon 14 · lost 4
Mistral Large 4won 17 · lost 5
O3won 17 · lost 5
O4 Miniwon 16 · lost 5
Grok 4won 16 · lost 5
MiniMax M2.7won 16 · lost 5
DeepSeek R1won 16 · lost 5
Inklingwon 19 · lost 6
GPT-5.6 Lunawon 18 · lost 6
Claude Sonnet 4.6won 17 · lost 6
GPT-5 nanowon 14 · lost 5
Grok 4 Fastwon 11 · lost 4
Muse Sparkwon 11 · lost 4
Claude 3.5 Sonnetwon 13 · lost 5
GPT-5.1won 14 · lost 6
MiMo V2.6 Prowon 14 · lost 6
Qwen3.7 Maxwon 16 · lost 7
GPT-5won 15 · lost 7
Gemini 3.6 Flashwon 16 · lost 8
Qwen3.8 Maxwon 16 · lost 9
MiMo V2.6 Flashwon 12 · lost 7
DeepSeek V4 Prowon 15 · lost 9
Claude Opus 4.5won 11 · lost 7
GLM-5.3won 11 · lost 7
Gemini 3 Prowon 11 · lost 7
GPT-5.2won 14 · lost 9
GPT-5.6 Terrawon 15 · lost 10
Claude Haiku 5.5won 10 · lost 7
Claude Sonnet 5won 14 · lost 10
Grok 4.5won 14 · lost 10
GPT-5.4won 14 · lost 10
Gemini 3.5 Flashwon 14 · lost 10
Claude Opus 4.6won 11 · lost 9
GPT-6 Solwon 12 · lost 10
Gemini 3.1 Prowon 10 · lost 9
Gemini 3.8 Flashwon 12 · lost 13
Kimi K3won 9 · lost 10
GPT-5.5won 11 · lost 13
DeepSeek V4.1 Flashwon 8 · lost 10
GPT-5.6 Solwon 10 · lost 14
Grok 4.6won 10 · lost 15
GPT-6 Astrawon 7 · lost 11
Gemini 3.7 Flashwon 7 · lost 11
Claude Opus 4.7won 9 · lost 15
Grok 4.7won 8 · lost 14
GPT-6.1 Solwon 6 · lost 11
Claude Opus 5.5won 7 · lost 16
Claude Sonnet 5.5won 5 · lost 12
Claude Opus 4.8won 7 · lost 17
Muse Spark 1.3won 4 · lost 11
Claude Opus 5won 6 · lost 19
Muse Wonderwon 3 · lost 12
Muse Spark 1.2won 3 · lost 14
Gemini 4 Argonwon 2 · lost 13
Claude Fable 5.1won 2 · lost 17
Claude Fable 5won 1 · lost 18

§ 3 · Sources

Where the numbers come from

7 publications, 30 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1491
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1217
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 851
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 75.3LiveBench 1.0 · Reasoning 87.7LiveBench 1.0 · Coding 77.2LiveBench 1.0 · Agentic Coding 58.5LiveBench 1.0 · Mathematics 87.1LiveBench 1.0 · Data Analysis 72.5LiveBench 1.0 · Language 74.3LiveBench 1.0 · Instruction Following 69.6
OSWorld ↗1 measureread 2026-11-10
OSWorld 80.7%
Vals.ai ↗12 measuresread 2026-11-10
Vals · Legal Research Bench 37.98%Vals · LegalBench 84.98%Vals · Finance Agent 57.21%Vals · CorpFin 71.29%Vals · TaxEval 79.72%Vals · MortgageTax 66.14%Vals · MedScribe 88.89%Vals · SWE-bench Verified 82% (Mini-SWE-agent)Vals · Vibe Code Bench 72.16% (OpenHands)Vals · Code Migration 31.11%Vals · GPQA Diamond 91.16%Vals · MMLU Pro 88.73%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 1.4%Enkrypt · Harmful content risk 0%Enkrypt · CBRN risk 6.3%Enkrypt · Toxicity risk 4.4%Enkrypt · Bias risk 50.1%Enkrypt · Insecure code risk 19.1%

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