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GLM-4.7

Z.ai · 358B · open weights

Strongest in Mathematics (#24 of 140, on 1 of its 2 boards), weakest in Finance (#121 of 151). Above par in 9 of 16 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Opus 4.7 and ahead of GPT-5.4 Mini 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.

Reasoning53.1#62/178
Mathematics57.2#24/140
Reasoning48.9#67/140
Science52.8#69/122
Human preference61#75/342
Human preference61#75/342
Knowledge51.6#78/138
Academic knowledge51.9#72/123
Agents53.2#85/268
Knowledge work54.8#55/178
Coding48.5#86/165
Agentic coding48.2#82/157
Professional46.2#119/168
Legal49.8#78/151
Medical45.1#112/140
Finance43.1#121/151

§ 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 GLM-4.7, left for the other.

Laguna XS.2won 10 · lost 0
Laguna M.1won 10 · lost 0
Mercury 2.5won 10 · lost 0
Command R Pluswon 10 · lost 0
Gemini 1.5 Flashwon 10 · lost 0
Mistral Small 3.1won 11 · lost 0
Mistral Smallwon 11 · lost 0
Llama 4 Scout Instructwon 14 · lost 0
Claude 3.5 Haikuwon 14 · lost 0
GPT-4o Miniwon 15 · lost 0
Mistral Medium 3.5won 15 · lost 0
GPT-4.1 Nanowon 16 · lost 0
Magistral Small 1.2won 10 · lost 1
Magistral Medium 1.2won 10 · lost 1
Mistral Medium 3.1won 9 · lost 1
GPT-5.4 Nanowon 14 · lost 2
Gemini 2.0 Flashwon 12 · lost 2
GPT OSS 20Bwon 11 · lost 2
Gemini 1.5 Prowon 10 · lost 2
GPT OSS 120Bwon 13 · lost 3
Claude Haiku 4.5won 13 · lost 3
Qwen3.6 27Bwon 8 · lost 2
GPT-5 Nanowon 10 · lost 3
Ling 3.0 Flashwon 9 · lost 3
Gemini 2.5 Flash Litewon 9 · lost 3
O3 Miniwon 12 · lost 4
GPT-4.1 Miniwon 12 · lost 4
DeepSeek V3won 12 · lost 4
Mistral Large 3won 12 · lost 4
MiniMax M2.7won 11 · lost 4
Mimo V2.5won 11 · lost 4
Mistral Largewon 8 · lost 3
Grok 2won 8 · lost 3
GLM-4.5won 8 · lost 3
Command Awon 10 · lost 4
MiniMax M2.5won 10 · lost 4
GPT-5 Miniwon 11 · lost 5
Kimi K2 Thinkingwon 8 · lost 4
Grok 3won 8 · lost 4
GLM-4.6won 10 · lost 5
GPT-4owon 9 · lost 5
Grok 4 Fastwon 9 · lost 5
Grok 3 Miniwon 8 · lost 5
Claude 3.5 Sonnetwon 8 · lost 5
Claude 3.7 Sonnetwon 9 · lost 6
Gemini 3.1 Flash Litewon 9 · lost 6
Inkling Smallwon 9 · lost 7
Nemotron 3 Ultrawon 7 · lost 6
Qwen3 Maxwon 7 · lost 6
O4 Miniwon 8 · lost 7
GPT-4.1won 8 · lost 7
Kimi K2won 8 · lost 7
DeepSeek R1won 8 · lost 7
GPT-5.4 Miniwon 8 · lost 7
Gemma 4 31Bwon 6 · lost 6
MiniMax M2.1won 7 · lost 7
Claude Sonnet 4won 8 · lost 8
Inklingwon 8 · lost 8
Qwen3.6 Pluswon 8 · lost 8
Gemini 3.5 Flash Litewon 8 · lost 8
Qwen3.5 Flashwon 6 · lost 7
DeepSeek V3.2won 7 · lost 9
MiniMax M3won 7 · lost 9
Grok 4.3won 7 · lost 9
O1won 6 · lost 8
GLM-5won 6 · lost 8
Grok 4.20won 5 · lost 7
Gemini 2.5 Flashwon 6 · lost 9
O3won 6 · lost 9
Mimo V2.5 Prowon 6 · lost 9
Grok 4.7won 5 · lost 8
Kimi K2.5won 6 · lost 10
Claude Opus 4won 5 · lost 9
Grok 4.1 Fastwon 5 · lost 10
Qwen3.8 27Bwon 5 · lost 11
Gemini 2.5 Prowon 5 · lost 11
GPT-5.1won 5 · lost 11
Claude Sonnet 4.5won 5 · lost 11
Kimi K2.6won 5 · lost 11
Qwen3.7 Maxwon 5 · lost 11
Gemini 3.1 Prowon 5 · lost 11
Qwen 3.5 Pluswon 3 · lost 8
DeepSeek V4won 3 · lost 8
Muse Sparkwon 4 · lost 11
Claude Opus 4.1won 3 · lost 9
GPT-5won 4 · lost 12
GPT-6 Lunawon 3 · lost 10
Gemini 3 Flashwon 3 · lost 11
Grok 4won 3 · lost 12
Claude Opus 4.5won 3 · lost 12
DeepSeek V4.1 Flashwon 3 · lost 12
DeepSeek V4 Flashwon 3 · lost 13
GLM-5.3 Flashwon 3 · lost 13
GLM-5.2won 3 · lost 13
Mimo V2.6 Prowon 2 · lost 9
GPT-5.2won 2 · lost 13
Gemini 3 Prowon 2 · lost 13
GPT-5.6 Lunawon 2 · lost 14
GLM-5.1won 2 · lost 14
Gemini 3.5 Flashwon 2 · lost 14
Muse Spark 1.3won 1 · lost 11
GPT-6 Solwon 1 · lost 12
Claude Opus 4.6won 1 · lost 13
Muse Spark 1.2won 1 · lost 14
Grok 4.6won 1 · lost 15
DeepSeek V4 Prowon 1 · lost 15
Grok 4.5won 1 · lost 15
Claude Sonnet 4.6won 1 · lost 15
Qwen3.8 Maxwon 1 · lost 15
GLM-5.3won 1 · lost 15
Gemini 3.6 Flashwon 1 · lost 15
Gemini 3.7 Flashwon 1 · lost 15
Kimi K3won 1 · lost 15
Muse Spark 1.1won 1 · lost 15
Gemini 3.8 Flashwon 1 · lost 15
GPT-6 Astrawon 0 · lost 13
Claude Opus 5.5won 0 · lost 13
Claude Sonnet 5won 0 · lost 16
GPT-5.6 Terrawon 0 · lost 16
GPT-5.4won 0 · lost 16
Claude Opus 4.8won 0 · lost 16
GPT-5.5won 0 · lost 16
GPT-5.6 Solwon 0 · lost 16
Claude Opus 5won 0 · lost 16
Claude Fable 5.1won 0 · lost 16
Claude Opus 4.7won 0 · lost 16
Claude Fable 5won 0 · lost 16

§ 3 · Sources

Where the numbers come from

4 publications, 14 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1441
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 1000
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 47.7%
Vals.ai ↗11 measuresread 2026-09-26
Vals · CaseLaw 54.88%Vals · LegalBench 83.36%Vals · CorpFin 46.39%Vals · TaxEval 68.77%Vals · MedQA 93.74%Vals · MedCode 32.77%Vals · MedScribe 68.63%Vals · SWE-bench Verified 69.4% (Mini-SWE-agent)Vals · GPQA Diamond 80.05%Vals · MMLU Pro 82.74%Vals · AIME 93.33%

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