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Longcat Flash Chat

Meituan

Strongest in Human preference (#82 of 341), weakest in General intelligence (#131 of 204). Above par in 2 of 4 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Opus 4.6 and ahead of Mistral Medium 3.5 and Muse Glimmer.

§ 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 preference60.6#82/341
Human preference60.6#82/341
Core abilities47#128/204
General intelligence45.7#131/204

§ 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 Longcat Flash Chat, left for the other.

Granite 4.2 30Bwon 3 · lost 0
Claude 3 Haikuwon 4 · lost 0
Llama 3 70B Instructwon 4 · lost 0
Granite 4.2 8Bwon 4 · lost 0
Granite 4.2 3Bwon 4 · lost 0
Gemma 3 4B Itwon 4 · lost 0
Magistral Mediumwon 4 · lost 0
Mercurywon 4 · lost 0
Gemma 3n E4b Itwon 4 · lost 0
GPT-4o Miniwon 4 · lost 0
GPT OSS 20Bwon 4 · lost 0
Llama 4 Scout Instructwon 4 · lost 0
GPT-4.1 Nanowon 4 · lost 0
Command Awon 4 · lost 0
Mistral Smallwon 4 · lost 0
Gemini 2.0 Flashwon 4 · lost 0
Gemma 3 27B Itwon 4 · lost 0
Trinity Largewon 4 · lost 0
GLM-4.5 Airwon 4 · lost 0
Gemini 2.5 Flash Litewon 4 · lost 0
GPT-5.4 Nanowon 4 · lost 0
Mistral Large 3won 4 · lost 0
Claude Haiku 4.5won 4 · lost 0
Qwen3.5 122B A10Bwon 4 · lost 0
Muse Glimmerwon 4 · lost 0
Mistral Medium 3.5won 4 · lost 0
GPT-5 Nanowon 2 · lost 2
MiniMax M2won 2 · lost 2
Qwen Pluswon 2 · lost 2
Qwen3 32Bwon 2 · lost 2
Step 3won 2 · lost 2
GLM-4.5vwon 2 · lost 2
GPT OSS 120Bwon 2 · lost 2
Grok 3 Miniwon 2 · lost 2
GPT-4.1 Miniwon 2 · lost 2
GPT-5 Miniwon 2 · lost 2
MiniMax M2.5won 2 · lost 2
O4 Miniwon 2 · lost 2
DeepSeek V3won 2 · lost 2
Claude Sonnet 4won 2 · lost 2
Grok 4 Fastwon 2 · lost 2
Mistral Mediumwon 2 · lost 2
Gemini 2.5 Flashwon 2 · lost 2
GLM-4.5won 2 · lost 2
Grok 3won 2 · lost 2
Grok 4won 2 · lost 2
GPT-4.1won 2 · lost 2
DeepSeek V3.1won 2 · lost 2
DeepSeek V3.1 Terminuswon 2 · lost 2
Kimi K2won 2 · lost 2
DeepSeek R1won 2 · lost 2
Qwen3 Maxwon 2 · lost 2
GLM-4.6won 2 · lost 2
DeepSeek V3.2won 2 · lost 2
Claude Opus 4won 2 · lost 2
O3won 2 · lost 2
Gemini 3.1 Flash Litewon 2 · lost 2
GPT-5won 2 · lost 2
MiniMax M3won 2 · lost 2
Grok 4.3won 2 · lost 2
Qwen3.6 Pluswon 2 · lost 2
GPT-5.4 Miniwon 2 · lost 2
Gemini 3.5 Flash Litewon 2 · lost 2
Kimi K2.6won 2 · lost 2
GPT-6 Lunawon 1 · lost 3
GPT-5.6 Lunawon 1 · lost 3
GLM-5.3 Flashwon 1 · lost 3
GPT-5.2won 0 · lost 4
Qwen3.8 27Bwon 0 · lost 4
Grok 4.7won 0 · lost 4
DeepSeek V4 Flashwon 0 · lost 4
Inklingwon 0 · lost 4
Qwen3.5 397B A17Bwon 0 · lost 4
ChatGPT-4owon 0 · lost 4
Gemini 2.5 Prowon 0 · lost 4
Kimi K2.5won 0 · lost 4
Gemma 4 31Bwon 0 · lost 4
Grok 4.6won 0 · lost 4
Qwen3.7 Pluswon 0 · lost 4
GPT-6 Solwon 0 · lost 4
Hy3won 0 · lost 4
GLM-5won 0 · lost 4
Claude Sonnet 4.5won 0 · lost 4
Claude Sonnet 5won 0 · lost 4
DeepSeek V4 Prowon 0 · lost 4
Grok 4.5won 0 · lost 4
GPT-5.6 Terrawon 0 · lost 4
Mimo V2.5 Prowon 0 · lost 4
Grok 4.20won 0 · lost 4
Claude Sonnet 4.6won 0 · lost 4
GPT-5.5 Instantwon 0 · lost 4
Claude Opus 4.5won 0 · lost 4
Qwen3.7 Maxwon 0 · lost 4
GPT-5.4won 0 · lost 4
GLM-5.2won 0 · lost 4
DeepSeek V4.1 Flashwon 0 · lost 4
Gemini 3.5 Flashwon 0 · lost 4
GPT-6 Astrawon 0 · lost 4
Qwen3.8 Maxwon 0 · lost 4
Mimo V2.6 Prowon 0 · lost 4
GLM-5.3won 0 · lost 4
Claude Opus 4.8won 0 · lost 4
GPT-5.5won 0 · lost 4
Gemini 3.6 Flashwon 0 · lost 4
GPT-5.6 Solwon 0 · lost 4
Gemini 3 Prowon 0 · lost 4
Gemini 3.1 Prowon 0 · lost 4
Gemini 3.7 Flashwon 0 · lost 4
Kimi K3won 0 · lost 4
Claude Opus 5won 0 · lost 4
Muse Spark 1.1won 0 · lost 4
Gemini 3.8 Flashwon 0 · lost 4
Muse Spark 1.3won 0 · lost 4
Muse Spark 1.2won 0 · lost 4
Claude Fable 5.1won 0 · lost 4
Claude Opus 4.7won 0 · lost 4
Claude Fable 5won 0 · lost 4
Claude Opus 4.6won 0 · lost 4
Claude Opus 5.5won 0 · lost 4

§ 3 · Sources

Where the numbers come from

2 publications, 2 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-27
LMArena Text 1437
Kagi LLM Benchmark ↗1 measureread 2026-09-27
Kagi LLM Benchmark 43.9%

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