Preference · Zhipu AI

GLM-4.5 Chat on Arena Elo: score, rank and what it means

GLM-4.5 Chat scores 1418.6 on Arena Elo, placing it #155 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1418.6
0–100 scale
Rank
#155
of 600
Percentile
74th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
83.3
points

Score distribution

The chart shows the top 10 models on Arena Elo, with GLM-4.5 Chat highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, GLM-4.5 Chat sits at #155 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 83.3 points. The median model in this index scores 1373.8, which puts GLM-4.5 Chat above the midpoint.

Zhipu AI models average 1352.5 on this benchmark. GLM-4.5 Chat is 66.1 points above that provider line, so it is a stronger result than the average Zhipu AI model.

Among multimodal models, the average is 1409.6. GLM-4.5 Chat is 9.0 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 1418.6 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $4.53 per million input tokens, GLM-4.5 Chat is above the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
ERNIE 4.5 Turbo Baidu 128000 $13.75 79.7
Command A Cohere 200000 $13.30 79.6
Qwen3 Instruct Alibaba Cloud 1000000 $5.06 79.8
Qwen3-Coder Instruct Alibaba Cloud 128000 $4.66 78.1
GLM-4.5 Chat Zhipu AI 65536 $4.53 78.3
ERNIE 4.0 Pro Baidu 200000 $12.58 77.5
Llama 3.3 Instruct Meta AI 128000 $4.33 76.6

Other benchmarks for GLM-4.5 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.7 130 78th
GPQA Diamond 74.3 159 74th
SWE-bench Verified 69.6 121 80th
HumanEval 83.8 137 77th
MATH-500 82.8 149 75th
AIME 2025 70.7 243 60th
LiveCodeBench 68.9 209 65th
IFEval 84.5 201 67th
TruthfulQA 81.6 139 77th
HellaSwag 88.1 138 77th
MMMU 75.6 148 75th

FAQ

What score does GLM-4.5 Chat get on Arena Elo?

GLM-4.5 Chat scores 1418.6 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does GLM-4.5 Chat rank on Arena Elo?

It ranks #155 of 600 models, in the 74th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is GLM-4.5 Chat good at Arena Elo?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the Arena Elo score calculated?

Arena Elo is a preference benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does GLM-4.5 Chat cost?

GLM-4.5 Chat costs $4.53 per million input tokens and $21.22 per million output tokens.

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