Mathematics · Zhipu AI

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

GLM-4.5 Chat scores 70.7 on AIME 2025, placing it #243 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
70.7
0–100 scale
Rank
#243
of 600
Percentile
60th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
20.7
points

Score distribution

The chart shows the top 10 models on AIME 2025, with GLM-4.5 Chat 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 Chat sits at #243 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 20.7 points. The median model in this index scores 67.6, which puts GLM-4.5 Chat above the midpoint.

Zhipu AI models average 63.8 on this benchmark. GLM-4.5 Chat is 6.9 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 Chat is 3.2 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 70.7 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 AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Sonar Reasoning Perplexity 200000 $11.48 76.2
Llama 3 Modal Modal 32768 $3.82 74.9
Mistral Large 3 Base Mistral AI 65536 $4.47 78.2
Mistral Small 3 Mistral AI 32768 $3.90 75.3
GLM-4.5 Chat Zhipu AI 65536 $4.53 78.3
Gemma 3 Chat Google DeepMind 65536 $3.74 74.5
Mixtral Groq Instruct Groq 16384 $3.25 72.5

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
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
Arena Elo 1418.6 155 74th

FAQ

What score does GLM-4.5 Chat get on AIME 2025?

GLM-4.5 Chat scores 70.7 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does GLM-4.5 Chat rank on AIME 2025?

It ranks #243 of 600 models, in the 60th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is GLM-4.5 Chat 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 Chat cost?

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

Related