Mathematics · Zhipu AI

GLM-4.5 on AIME 2025: score, rank and what it means

GLM-4.5 scores 76.0 on AIME 2025, placing it #141 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
76.0
0–100 scale
Rank
#141
of 600
Percentile
77th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
15.4
points

Score distribution

The chart shows the top 10 models on AIME 2025, with GLM-4.5 highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, GLM-4.5 sits at #141 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 15.4 points. The median model in this index scores 67.6, which puts GLM-4.5 above the midpoint.

Zhipu AI models average 63.8 on this benchmark. GLM-4.5 is 12.2 points above that provider line, so it is a stronger result than the average Zhipu AI model.

Among multimodal models, the average is 73.9. GLM-4.5 is 2.1 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 76.0 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 $4.55 per million input tokens, GLM-4.5 is above the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Mistral Large 3 Instruct Mistral AI 400000 $5.31 81.1
Claude Opus 4.5 Mini Anthropic 65536 $12.72 79.0
Gemini 2.5 Pro Google DeepMind 200000 $15.20 81.6
QwQ Chat Alibaba Cloud 65536 $4.28 78.2
GLM-4.5 Zhipu AI 200000 $4.55 78.2
ERNIE 4.5 Baidu 65536 $13.44 80.0
Reka Core Reasoning Reka AI 32768 $13.11 78.5

Other benchmarks for GLM-4.5

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.8 215 64th
GPQA Diamond 74.9 147 76th
SWE-bench Verified 66.4 181 70th
HumanEval 81.6 193 68th
MATH-500 81.7 170 72th
LiveCodeBench 73.0 127 79th
IFEval 85.8 164 73th
TruthfulQA 79.7 193 68th
HellaSwag 88.8 117 81th
MMMU 73.9 194 68th
Arena Elo 1414.6 169 72th

FAQ

What score does GLM-4.5 get on AIME 2025?

GLM-4.5 scores 76.0 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does GLM-4.5 rank on AIME 2025?

It ranks #141 of 600 models, in the 77th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is GLM-4.5 good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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 cost?

GLM-4.5 costs $4.55 per million input tokens and $20.60 per million output tokens.

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