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Muse Spark 1.3

Meta

Strongest in Instruction following (#4 of 62), weakest in General intelligence (#70 of 178). Above par in 21 of 23 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5.1 and Gemini 4 Argon and ahead of Claude Opus 4.8 and GPT-5.5.

§ 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.

Human preference65.9#10/354
Human preference65.9#10/354
Core abilities58.2#20/199
Instruction following67.7#4/62
Data analysis58#9/31
Language56.2#21/62
General intelligence52#70/178
Reasoning58#22/195
Reasoning61.3#16/147
Mathematics55.5#46/152
Coding57.6#22/179
Agentic coding57.9#20/173
Professional54.5#37/194
Legal61#9/173
Document design52.7#15/31
Cybersecurity57#16/47
Finance57.8#20/162
IT operations42#20/33
Agents55.4#54/298
Long-horizon work55.8#9/31
Knowledge work66.2#13/208
Web research53.2#14/35
Computer use40.2#54/68

§ 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 1.3, left for the other.

GPT-4.1 nanowon 14 · lost 0
GPT-4.1 miniwon 14 · lost 0
DeepSeek V3won 14 · lost 0
Mistral Large 3won 14 · lost 0
DeepSeek V3.2won 14 · lost 0
Grok 4.3won 14 · lost 0
Qwen3.6 Pluswon 14 · lost 0
Nemotron 3.5 Super VLwon 15 · lost 0
Inkling Smallwon 15 · lost 0
Qwen3.7 Maxwon 15 · lost 0
GPT-5.4 nanowon 16 · lost 0
GPT-5.4 miniwon 16 · lost 0
Gemini 3.5 Flash-Litewon 17 · lost 0
Gemma 4 31Bwon 18 · lost 0
Step 5won 20 · lost 0
Qwen3.8 27Bwon 22 · lost 0
Inklingwon 22 · lost 0
GLM-5.3 Flashwon 22 · lost 1
Mistral Large 4won 20 · lost 1
DeepSeek V4 Flashwon 16 · lost 1
Gemini 3.6 Flashwon 15 · lost 1
MiniMax M3.1 Flashwon 14 · lost 1
Kimi K2.6won 14 · lost 1
GPT OSS 120Bwon 13 · lost 1
GPT-5.6 Lunawon 16 · lost 2
Grok 4.5won 16 · lost 2
Muse Spark Openwon 14 · lost 2
GLM-5.2won 14 · lost 2
GPT-6 Lunawon 20 · lost 3
Claude Sonnet 4won 13 · lost 2
DeepSeek R1won 12 · lost 2
Gemini 2.5 Prowon 12 · lost 2
MiniMax M3won 15 · lost 3
Claude Sonnet 5won 14 · lost 3
Qwen3.8 Maxwon 18 · lost 4
Claude Sonnet 4.6won 13 · lost 3
Gemini 3.5 Flashwon 13 · lost 3
Muse Spark 1.2won 13 · lost 3
MiMo V2.6 Prowon 17 · lost 4
MiMo V2.6 Flashwon 12 · lost 3
GPT-5 miniwon 11 · lost 3
O3won 11 · lost 3
GPT-5won 11 · lost 3
DeepSeek V4 Prowon 14 · lost 4
Grok 4.6won 17 · lost 5
GPT-5.4won 12 · lost 4
GPT-5.2won 11 · lost 4
Kimi K2.5won 11 · lost 4
Claude Sonnet 4.5won 11 · lost 4
Claude Opus 4.5won 11 · lost 4
Gemini 3.1 Prowon 11 · lost 4
Muse Spark 1.1won 11 · lost 4
Kimi K3won 16 · lost 6
Gemini 3.7 Flashwon 12 · lost 5
GPT-5.6 Terrawon 16 · lost 7
Kimi K3.1 Prowon 13 · lost 6
Grok 4.7won 15 · lost 7
GLM-5.3won 12 · lost 6
DeepSeek V4.1 Flashwon 15 · lost 8
Claude Haiku 5.5won 14 · lost 8
Gemini 3.8 Flashwon 14 · lost 9
Claude Opus 4.6won 8 · lost 6
GPT-5.5won 9 · lost 7
Claude Opus 4.8won 9 · lost 7
Claude Opus 4.7won 8 · lost 8
GPT-5.6 Solwon 9 · lost 10
GPT-6 Solwon 7 · lost 10
GPT-6.1 Terrawon 6 · lost 9
Claude Sonnet 5.5won 8 · lost 15
GPT-6.1 Solwon 8 · lost 15
GPT-6 Astrawon 7 · lost 16
Claude Opus 5won 5 · lost 13
Claude Fable 5won 5 · lost 13
Muse Wonderwon 5 · lost 17
Claude Fable 5.2won 3 · lost 13
Claude Opus 5.5won 4 · lost 19
Gemini 4 Argonwon 2 · lost 19
Claude Fable 5.1won 2 · lost 21

§ 3 · Sources

Where the numbers come from

8 publications, 28 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1496
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1681
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 1581
Terminal-Bench ↗1 measureread 2026-11-10
Terminal-Bench 14.8% (Muse Code)
LiveBench ↗8 measuresread 2026-11-10
LiveBench 68.4LiveBench · Agentic 47.9LiveBench · Reasoning 89.7LiveBench · Coding 83.1LiveBench · Browser Use 30.9LiveBench · Data Analysis 79.6LiveBench · Research 82.5LiveBench · Design 74.8
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 81.6LiveBench 1.0 · Reasoning 89.7LiveBench 1.0 · Coding 81.1LiveBench 1.0 · Agentic Coding 64.1LiveBench 1.0 · Mathematics 95.9LiveBench 1.0 · Data Analysis 79.6LiveBench 1.0 · Language 82.8LiveBench 1.0 · Instruction Following 78
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 81.8%
Vals.ai ↗7 measuresread 2026-11-10
Vals · Legal Research Bench 55.29%Vals · Finance Agent 59.96%Vals · CyberBench 72.74%Vals · SRE Bench 3.82%Vals · Vibe Code Bench 85.86% (OpenHands)Vals · Code Migration 47.41%Vals · ProofBench 58%

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