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GLM 5.1 vs Qwen 2.5 72B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GLM 5.1 and Qwen 2.5 72B.

Zhipu AI

GLM 5.1

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...

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Alibaba

Qwen 2.5 72B

Qwen 2.5 72B is Alibaba Cloud's flagship open-weight large language model from the Qwen 2.5 generation, delivering GPT-4-class performance across general reasoning, coding, mathematics, and multilingual tasks with strong Chinese-language superiority. It supports a 131,072-token context window and is available under a permissive Apache 2.0 license for both research and commercial use, making it one of the most popular open-weight alternatives to Llama for bilingual applications.

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Technical Specifications

SpecificationGLM 5.1Qwen 2.5 72B
ProviderZhipu AIAlibaba
Context Window202,752 tokens131,072 tokens
Agent SuitabilityN/A88/100
Time to First Token (TTFT)N/A280 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-072025-09-19

API Pricing Comparison

Input Price per Million Tokens

GLM 5.1

$0.97

Qwen 2.5 72B

$0.40

Output Price per Million Tokens

GLM 5.1

$3.04

Qwen 2.5 72B

$0.80

Want to test both models live?

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8800.0%vsN/A
GLM 5.1
Qwen 2.5 72B
HumanEvalPython coding & logic synthesis
8950.0%vsN/A
GLM 5.1
Qwen 2.5 72B
MATHComplex mathematical problem solving
7700.0%vsN/A
GLM 5.1
Qwen 2.5 72B
GPQAGraduate-level expert reasoning
5100.0%vsN/A
GLM 5.1
Qwen 2.5 72B
HellaSwagCommonsense reasoning and inference
8850.0%vsN/A
GLM 5.1
Qwen 2.5 72B
MT-BenchMulti-turn conversation flow quality
920.0%vsN/A
GLM 5.1
Qwen 2.5 72B

GLM 5.1 Quirks & Gotchas

No developer gotchas reported.

Qwen 2.5 72B Quirks & Gotchas

  • โ–ธStrong bilingual (ZH/EN) performance โ€” best open model for Chinese-language tasks
  • โ–ธSelf-hostable via vLLM or Ollama with 4-bit quantization