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The LLM benchmark aggregator.

Muse Glimmer

Meta

Strongest in Human preference (#99 of 341), weakest in Agents (#152 of 267). Above par in 2 of 6 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Fable 5 and ahead of Granite 4.2 30B and DeepSeek R1.

§ 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 preference59.3#99/341
Human preference59.3#99/341
Core abilities46.3#134/204
General intelligence44.7#136/204
Agents47#152/267
Knowledge work46.1#99/177

§ 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 Glimmer, left for the other.

K2 Horizon 0.9Bwon 4 · lost 0
Ministral 3 3Bwon 4 · lost 0
Ministral 3 8Bwon 4 · lost 0
Ministral 3 14Bwon 4 · lost 0
Celeris 1won 4 · lost 0
Mistral Small 4won 4 · lost 0
Qwen3 Coder Nextwon 4 · lost 0
North Mini Codewon 4 · lost 0
MiniCPM5 2Bwon 4 · lost 0
Mercury 2.5won 4 · lost 0
Nemotron 3.5 Lightningwon 4 · lost 0
Command A+won 4 · lost 0
Llama 3.1 8B Instructwon 4 · lost 0
Claude 3 Haikuwon 4 · lost 0
GPT-4won 4 · lost 0
Llama 3 70B Instructwon 4 · lost 0
Magistral Mediumwon 4 · lost 0
Mercurywon 4 · lost 0
Gemma 3n E4b Itwon 4 · lost 0
Llama 3.3 70B Instructwon 4 · lost 0
Claude 3.5 Haikuwon 4 · lost 0
Nova 2 Litewon 4 · lost 0
Gemma 3 12B Itwon 4 · lost 0
Mercury 2won 4 · lost 0
Gemini 2.0 Flashwon 4 · lost 0
O3 Miniwon 4 · lost 0
Gemma 3 4B Itwon 5 · lost 0
Granite 4.2 8Bwon 6 · lost 0
Granite 4.2 3Bwon 6 · lost 0
GPT-4o Miniwon 6 · lost 0
GPT OSS 20Bwon 6 · lost 0
Llama 4 Scout Instructwon 6 · lost 0
GPT-4.1 Nanowon 6 · lost 0
Gemma 3 27B Itwon 6 · lost 0
Trinity Largewon 6 · lost 0
Mistral Large 3won 6 · lost 0
Command Awon 4 · lost 1
Mistral Smallwon 4 · lost 1
Gemini 2.5 Flash Litewon 4 · lost 1
DeepSeek V3won 4 · lost 2
GPT-5.4 Nanowon 4 · lost 2
Claude Haiku 4.5won 4 · lost 2
Qwen3.5 122B A10Bwon 4 · lost 2
DeepSeek V3.1 Terminuswon 4 · lost 2
DeepSeek R1won 4 · lost 2
Granite 4.2 30Bwon 3 · lost 2
Qwen3.6 27Bwon 2 · lost 2
Kimi K2.7 Codewon 2 · lost 2
Grok Build 0.1won 2 · lost 2
K2 Horizon 3.7Bwon 2 · lost 2
Ring 2.6.1Twon 2 · lost 2
Qwen3 14Bwon 2 · lost 2
Nemotron 3 Ultrawon 2 · lost 2
Qwen3 30B A3B Thinkingwon 2 · lost 2
MiniMax M2won 2 · lost 2
Qwen Pluswon 2 · lost 2
Step 3won 2 · lost 2
GLM-4.5vwon 2 · lost 2
Grok 3 Miniwon 2 · lost 2
GLM-4.5 Airwon 2 · lost 2
Mimo V2 Flashwon 2 · lost 2
MiniMax M2.5won 2 · lost 2
Qwen3.5 35B A3Bwon 2 · lost 2
Grok 4 Fastwon 2 · lost 2
Inkling Smallwon 2 · lost 2
GLM-4.5won 2 · lost 2
Grok 3won 2 · lost 2
MiniMax M2.7won 2 · lost 2
DeepSeek V3.1won 2 · lost 2
Qwen3 Maxwon 2 · lost 2
Qwen3 32Bwon 3 · lost 3
GPT-4.1 Miniwon 3 · lost 3
GPT-5 Miniwon 3 · lost 3
GPT-5 Nanowon 2 · lost 3
O4 Miniwon 2 · lost 3
Mistral Mediumwon 2 · lost 3
Gemini 2.5 Flashwon 2 · lost 3
Grok 4won 2 · lost 3
GPT-4.1won 2 · lost 3
Kimi K2won 2 · lost 3
GPT OSS 120Bwon 2 · lost 4
Claude Sonnet 4won 2 · lost 4
Mistral Medium 3.5won 2 · lost 4
Gemini 3.1 Flash Litewon 2 · lost 4
MiniMax M3won 2 · lost 4
Grok 4.3won 2 · lost 4
Qwen3.6 Pluswon 2 · lost 4
Gemini 2.5 Prowon 2 · lost 4
GPT-5.4 Miniwon 2 · lost 4
Gemma 4 31Bwon 2 · lost 4
Gemini 3.5 Flash Litewon 2 · lost 4
Kimi K2.6won 2 · lost 4
Gemini 3.1 Prowon 2 · lost 4
GPT-6 Lunawon 1 · lost 5
GPT-5.6 Lunawon 1 · lost 5
Qwen3.6 35B A3Bwon 0 · lost 4
LongCat 2.0won 0 · lost 4
K2 Horizon 7Bwon 0 · lost 4
Ling 3.0 Flash Finwon 0 · lost 4
Ling 3.0 Flash VLwon 0 · lost 4
Apodex 1.1won 0 · lost 4
K2 Horizon 375B A23Bwon 0 · lost 4
Qwen3.8 Flash Nextwon 0 · lost 4
Qwen3.8 2.4T A95Bwon 0 · lost 4
Step 5won 0 · lost 4
Claude Opus 4won 0 · lost 4
Mimo V2.5won 0 · lost 4
Longcat Flash Chatwon 0 · lost 4
Gemma 4 26B A4Bwon 0 · lost 4
GLM-4.7won 0 · lost 4
ChatGPT-4owon 0 · lost 4
GPT-5.1won 0 · lost 4
GLM-5won 0 · lost 4
GLM-5.1won 0 · lost 4
Grok 4.20won 0 · lost 4
Muse Sparkwon 0 · lost 4
Claude Opus 4.6won 0 · lost 4
O3won 0 · lost 5
GPT-5.2won 0 · lost 5
Claude Opus 4.5won 0 · lost 5
Gemini 3 Prowon 0 · lost 5
GLM-4.6won 0 · lost 6
DeepSeek V3.2won 0 · lost 6
GPT-5won 0 · lost 6
Qwen3.8 27Bwon 0 · lost 6
Grok 4.7won 0 · lost 6
DeepSeek V4 Flashwon 0 · lost 6
Inklingwon 0 · lost 6
Qwen3.5 397B A17Bwon 0 · lost 6
Kimi K2.5won 0 · lost 6
Grok 4.6won 0 · lost 6
Qwen3.7 Pluswon 0 · lost 6
GPT-6 Solwon 0 · lost 6
Hy3won 0 · lost 6
Claude Sonnet 4.5won 0 · lost 6
Claude Sonnet 5won 0 · lost 6
DeepSeek V4 Prowon 0 · lost 6
Grok 4.5won 0 · lost 6
GPT-5.6 Terrawon 0 · lost 6
Mimo V2.5 Prowon 0 · lost 6
Claude Sonnet 4.6won 0 · lost 6
GPT-5.5 Instantwon 0 · lost 6
GLM-5.3 Flashwon 0 · lost 6
Qwen3.7 Maxwon 0 · lost 6
GPT-5.4won 0 · lost 6
GLM-5.2won 0 · lost 6
DeepSeek V4.1 Flashwon 0 · lost 6
Gemini 3.5 Flashwon 0 · lost 6
GPT-6 Astrawon 0 · lost 6
Qwen3.8 Maxwon 0 · lost 6
Mimo V2.6 Prowon 0 · lost 6
GLM-5.3won 0 · lost 6
Claude Opus 4.8won 0 · lost 6
GPT-5.5won 0 · lost 6
Gemini 3.6 Flashwon 0 · lost 6
GPT-5.6 Solwon 0 · lost 6
Gemini 3.7 Flashwon 0 · lost 6
Kimi K3won 0 · lost 6
Claude Opus 5won 0 · lost 6
Muse Spark 1.1won 0 · lost 6
Gemini 3.8 Flashwon 0 · lost 6
Muse Spark 1.3won 0 · lost 6
Muse Spark 1.2won 0 · lost 6
Claude Fable 5.1won 0 · lost 6
Claude Opus 4.7won 0 · lost 6
Claude Fable 5won 0 · lost 6
Claude Opus 5.5won 0 · lost 6

§ 3 · Sources

Where the numbers come from

4 publications, 4 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-27
LMArena Text 1424
Artificial Analysis ↗1 measureread 2026-09-27
Artificial Analysis Intelligence Index 17
GDPval-AA ↗1 measureread 2026-09-27
GDPval-AA 774
AA-Briefcase ↗1 measureread 2026-09-27
AA-Briefcase 474

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