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Yi Lightning

01.AI

Strongest in Coding (#130 of 164, on 1 of its 5 boards), weakest in Human preference (#189 of 341). 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 GPT-4.1 Nano and GPT-4o Mini.

§ 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.

Coding43.2#130/164
Agentic coding41.8#131/157
Human preference50.1#189/341
Human preference50.1#189/341

§ 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 Yi Lightning, left for the other.

Claude 3 Haikuwon 3 · lost 0
GPT-4 Turbowon 3 · lost 0
GPT-4o Miniwon 4 · lost 0
GPT-4.1 Nanowon 4 · lost 0
Qwen2.5 Coder 32B Instructwon 2 · lost 2
Granite 4.2 8Bwon 2 · lost 2
Granite 4.2 3Bwon 2 · lost 2
Qwen Maxwon 2 · lost 2
DeepSeek V2.5won 2 · lost 2
Claude 3.5 Haikuwon 2 · lost 2
Llama 4 Maverick Instructwon 2 · lost 2
GPT OSS 120Bwon 2 · lost 2
Command Awon 2 · lost 2
Gemma 3 27B Itwon 2 · lost 2
Grok 4 Fastwon 2 · lost 2
Mistral Large 3won 2 · lost 2
Claude Haiku 4.5won 2 · lost 2
Mistral Medium 3.5won 2 · lost 2
Grok 4.1 Fastwon 2 · lost 2
Gemini 3.1 Flash Litewon 2 · lost 2
Grok 4.3won 2 · lost 2
Grok 4.20won 2 · lost 2
GPT-4owon 1 · lost 3
GPT-5 Miniwon 1 · lost 3
GPT-5.4 Nanowon 1 · lost 3
MiniMax M3won 1 · lost 3
Kimi K2.5won 1 · lost 3
Qwen3 235B A22B Instructwon 0 · lost 3
QwQ 32Bwon 0 · lost 4
O1 Miniwon 0 · lost 4
Granite 4.2 30Bwon 0 · lost 4
Qwen3 32Bwon 0 · lost 4
Gemini 2.0 Flashwon 0 · lost 4
O3 Miniwon 0 · lost 4
Grok 3 Miniwon 0 · lost 4
Claude 3.5 Sonnetwon 0 · lost 4
GPT-4.1 Miniwon 0 · lost 4
MiniMax M2.1won 0 · lost 4
Claude 3.7 Sonnetwon 0 · lost 4
MiniMax M2.5won 0 · lost 4
O4 Miniwon 0 · lost 4
DeepSeek V3won 0 · lost 4
Qwen3.5 Flashwon 0 · lost 4
Claude Sonnet 4won 0 · lost 4
O1won 0 · lost 4
Inkling Smallwon 0 · lost 4
Gemini 2.5 Flashwon 0 · lost 4
Grok 3won 0 · lost 4
Grok 4won 0 · lost 4
GPT-4.1won 0 · lost 4
MiniMax M2.7won 0 · lost 4
Kimi K2won 0 · lost 4
DeepSeek R1won 0 · lost 4
Qwen3 Maxwon 0 · lost 4
GLM-4.6won 0 · lost 4
DeepSeek V3.2won 0 · lost 4
Claude Opus 4won 0 · lost 4
O3won 0 · lost 4
Mimo V2.5won 0 · lost 4
GPT-5won 0 · lost 4
GPT-5.2won 0 · lost 4
Qwen3.8 27Bwon 0 · lost 4
Grok 4.7won 0 · lost 4
DeepSeek V4 Flashwon 0 · lost 4
GLM-4.7won 0 · lost 4
GPT-6 Lunawon 0 · lost 4
Inklingwon 0 · lost 4
Qwen3.6 Pluswon 0 · lost 4
ChatGPT-4owon 0 · lost 4
GPT-4.5won 0 · lost 4
Gemini 2.5 Prowon 0 · lost 4
GPT-5.4 Miniwon 0 · lost 4
Gemma 4 31Bwon 0 · lost 4
Grok 4.6won 0 · lost 4
Mimo V2.6 Flashwon 0 · lost 4
GPT-5.6 Lunawon 0 · lost 4
Gemini 3.5 Flash Litewon 0 · lost 4
GPT-5.1won 0 · lost 4
Qwen3.7 Pluswon 0 · lost 4
GPT-6 Solwon 0 · lost 4
GLM-5won 0 · lost 4
Claude Sonnet 4.5won 0 · lost 4
Qwen3.6 Maxwon 0 · lost 4
Kimi K2.6won 0 · lost 4
Claude Sonnet 5won 0 · lost 4
DeepSeek V4 Prowon 0 · lost 4
GLM-5.1won 0 · lost 4
Grok 4.5won 0 · lost 4
GPT-5.6 Terrawon 0 · lost 4
Mimo V2.5 Prowon 0 · lost 4
Claude Sonnet 4.6won 0 · lost 4
Gemini 3 Flashwon 0 · lost 4
GLM-5.3 Flashwon 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 Sparkwon 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 1328
Aider polyglot ↗1 measureread 2026-09-27
Aider polyglot 12.9%

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