The LLM benchmark aggregator.

GLM-4.5

Z.ai · 358B · open weights

Strongest in Mathematics (#42 of 140, on 1 of its 2 boards), weakest in Harm refusal (#258 of 300). Above par in 11 of 19 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5 and Claude Opus 4.8 and ahead of Mimo V2.5 Pro and DeepSeek V4 Flash.

§ 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.

Professional51.4−10.2#66/1681/1

Medical53.4−13.4#56/1401/1

Finance52.9−10#68/1511/1

Legal48−19.1#91/1511/1

Core abilities51.8−15.6#74/2041/3

General intelligence52.5−17.6#75/2041/3

Reasoning51.7−15.2#79/1781/4

Mathematics55.4−10.3#42/1401/2

Science47.3−16.2#85/1221/1

Knowledge50−13.5#86/1381/2

Academic knowledge50−13.9#79/1231/1

Human preference58.1−9.4#114/3421/1

Safety48.2−13.3#233/3371/3

Fairness55.4−14.6#64/3001/2

Toxicity avoidance53−6#152/2721/1

Secure code48.4−18.1#175/2741/1

Jailbreak resistance44.1−20.8#208/2721/1

Harm refusal44.2−17.4#258/3001/2

§ 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-4.5, left for the other.

Jamba 1.6 Miniwon 13 · lost 2

Jamba 1.6 Largewon 13 · lost 2

Command R Pluswon 13 · lost 2

Mistral Medium 3.5won 11 · lost 2

DeepSeek V3won 16 · lost 3

Jamba 1.5 Largewon 10 · lost 2

Mistral Smallwon 15 · lost 3

Gemini 2.5 Flash Litewon 13 · lost 3

GPT OSS 20Bwon 15 · lost 4

Llama 4 Scout Instructwon 15 · lost 4

Command Awon 15 · lost 4

Gemini 2.0 Flashwon 15 · lost 4

GPT-5.4 Nanowon 11 · lost 3

Mistral Large 3won 11 · lost 3

Gemini 1.5 Prowon 13 · lost 4

Jamba 1.5 Miniwon 9 · lost 3

Mistral Largewon 12 · lost 4

Gemini 1.5 Flashwon 12 · lost 4

GPT-4.1 Nanowon 14 · lost 5

Llama 4 Maverick Instructwon 14 · lost 5

GPT-4.1 Miniwon 14 · lost 5

GPT-4o Miniwon 13 · lost 5

MiniMax M2.5won 9 · lost 4

Claude 3.5 Haikuwon 11 · lost 5

Kimi K2won 13 · lost 6

O3 Miniwon 11 · lost 6

Llama 3.3 Instruct Turbo (70B)won 9 · lost 5

GPT OSS 120Bwon 12 · lost 7

GPT-4owon 10 · lost 7

GPT-5 Nanowon 11 · lost 8

Claude Haiku 4.5won 11 · lost 8

Grok 4.3won 11 · lost 8

Claude 3.5 Sonnetwon 9 · lost 7

DeepSeek R1won 10 · lost 8

Qwen3.6 Pluswon 7 · lost 6

GPT-5.4 Miniwon 7 · lost 6

Gemini 3.5 Flash Litewon 7 · lost 6

O4 Miniwon 10 · lost 9

Gemini 2.5 Flashwon 10 · lost 9

Grok 3won 10 · lost 9

DeepSeek V3.2won 10 · lost 9

DeepSeek V4 Flashwon 10 · lost 9

Mimo V2.5 Prowon 10 · lost 9

GPT-4 Turbowon 6 · lost 6

Ling 3.0 Flashwon 7 · lost 7

Grok 4 Fastwon 7 · lost 7

Gemma 4 31Bwon 8 · lost 8

GPT-4.1won 9 · lost 10

GLM-4.6won 9 · lost 10

Kimi K2.6won 9 · lost 10

GPT-6 Lunawon 7 · lost 9

Grok 4won 8 · lost 11

Qwen3.7 Maxwon 8 · lost 11

GLM-5.2won 8 · lost 11

Grok 4.1 Fastwon 7 · lost 10

Claude Sonnet 4won 7 · lost 12

MiniMax M3won 7 · lost 12

Gemini 3.6 Flashwon 7 · lost 12

Gemini 3.1 Flash Litewon 5 · lost 9

Claude 3.7 Sonnetwon 6 · lost 11

MiniMax M2.7won 6 · lost 11

GLM-5.1won 6 · lost 11

Qwen3.5 Flashwon 4 · lost 8

Qwen3 235B A22B Instructwon 6 · lost 13

GPT-5.6 Lunawon 6 · lost 13

Gemini 3.5 Flashwon 6 · lost 13

Grok 3 Miniwon 4 · lost 9

Qwen3.8 27Bwon 4 · lost 9

Mimo V2.6 Flashwon 4 · lost 9

Kimi K2 Thinkingwon 5 · lost 12

O1won 5 · lost 12

Inklingwon 5 · lost 14

Kimi K2.5won 5 · lost 14

Claude Opus 4.1won 3 · lost 9

DeepSeek V4.1 Flashwon 3 · lost 9

GPT-6 Solwon 4 · lost 12

Claude Sonnet 4.6won 4 · lost 13

Qwen3 Maxwon 3 · lost 10

Claude Opus 4won 4 · lost 15

DeepSeek V4 Prowon 4 · lost 15

GLM-5.3 Flashwon 4 · lost 15

Qwen3.8 Maxwon 4 · lost 15

Muse Spark 1.1won 4 · lost 15

Claude Opus 4.6won 3 · lost 14

Gemini 3 Flashwon 2 · lost 10

GPT-5 Miniwon 3 · lost 16

O3won 3 · lost 16

Gemini 2.5 Prowon 3 · lost 16

Mimo V2.6 Prowon 2 · lost 13

Grok 4.7won 2 · lost 14

Claude Sonnet 5won 2 · lost 17

Grok 4.5won 2 · lost 17

GPT-5.6 Terrawon 2 · lost 17

GPT-5.4won 2 · lost 17

GPT-5.6 Solwon 2 · lost 17

Muse Spark 1.2won 1 · lost 11

GLM-5.3won 1 · lost 12

Gemini 3.7 Flashwon 1 · lost 12

Kimi K3won 1 · lost 12

GLM-5won 1 · lost 13

Gemini 3.1 Prowon 1 · lost 13

GPT-5.1won 1 · lost 16

Grok 4.6won 1 · lost 18

Claude Sonnet 4.5won 1 · lost 18

GPT-5.5won 1 · lost 18

Gemini 3.8 Flashwon 1 · lost 18

Claude Opus 4.7won 1 · lost 18

Claude Fable 5.1won 0 · lost 13

Claude Fable 5won 0 · lost 13

Claude Opus 4.5won 0 · lost 14

Gemini 3 Prowon 0 · lost 16

Claude Opus 5.5won 0 · lost 16

GPT-5won 0 · lost 19

GPT-5.2won 0 · lost 19

Claude Opus 4.8won 0 · lost 19

Claude Opus 5won 0 · lost 19

§ 3 · Sources

Where the numbers come from

4 publications, 15 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26

LMArena Text 1411

Kagi LLM Benchmark ↗1 measureread 2026-09-26

Kagi LLM Benchmark 57.9%

Vals.ai ↗7 measuresread 2026-09-26

Vals · LegalBench 75.63%Vals · CorpFin 60.96%Vals · TaxEval 72.4%Vals · MedQA 89.97%Vals · GPQA Diamond 72.22%Vals · MMLU Pro 81.22%Vals · AIME 86.67%

Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26

Enkrypt · Jailbreak risk 17.8%Enkrypt · Harmful content risk 47.8%Enkrypt · CBRN risk 22.3%Enkrypt · Toxicity risk 4.2%Enkrypt · Bias risk 69.5%Enkrypt · Insecure code risk 36.9%

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