Mathematics · Zhipu AI

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

GLM-4.5 Base scores 68.6 on AIME 2025, placing it #286 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
68.6
0–100 scale
Rank
#286
of 600
Percentile
52th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
22.8
points

Score distribution

The chart shows the top 10 models on AIME 2025, with GLM-4.5 Base 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 Base sits at #286 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 22.8 points. The median model in this index scores 67.6, which puts GLM-4.5 Base above the midpoint.

Zhipu AI models average 63.8 on this benchmark. GLM-4.5 Base is 4.8 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 Base is 5.3 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 68.6 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 $3.99 per million input tokens, GLM-4.5 Base is below 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
Mixtral Instruct Mistral AI 65536 $3.35 72.9
Codestral Base Mistral AI 8192 $3.31 73.1
Llama 3 Anyscale Anyscale 65536 $3.94 74.7
Llama 3 Modal Instruct Modal 128000 $3.84 75.2
GLM-4.5 Base Zhipu AI 32768 $3.99 74.9
Auto Max OpenRouter 8192 $8.41 71.2
Llama 3 Baseten Chat Baseten 200000 $3.55 73.2

Other benchmarks for GLM-4.5 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.1 302 50th
GPQA Diamond 70.6 244 59th
SWE-bench Verified 61.6 289 52th
HumanEval 78.7 270 55th
MATH-500 77.5 265 56th
LiveCodeBench 71.5 160 73th
IFEval 83.3 236 61th
TruthfulQA 76.5 291 52th
HellaSwag 84.6 261 57th
MMMU 74.4 172 71th
Arena Elo 1403.0 202 66th

FAQ

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

GLM-4.5 Base scores 68.6 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does GLM-4.5 Base rank on AIME 2025?

It ranks #286 of 600 models, in the 52nd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is GLM-4.5 Base 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 Base cost?

GLM-4.5 Base costs $3.99 per million input tokens and $20.65 per million output tokens.

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