โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

GLM 5.1 vs Qwen 2.5-Coder 32B

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-Coder 32B.

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...

View Full Specs
Alibaba

Qwen 2.5-Coder 32B

Qwen 2.5-Coder 32B is Alibaba's specialized code generation model built on the Qwen 2.5 architecture, fine-tuned on a massive corpus of code repositories, technical documentation, and programming discussions. It achieves competitive results against GPT-4o and Claude Sonnet on coding benchmarks like HumanEval, MBPP, and LiveCodeBench while supporting a broad range of programming languages from Python and JavaScript to Rust and Go. Its 128K context window enables whole-repository analysis and complex multi-file refactoring tasks.

View Full Specs

Technical Specifications

SpecificationGLM 5.1Qwen 2.5-Coder 32B
ProviderZhipu AIAlibaba
Context Window202,752 tokens131,072 tokens
Agent SuitabilityN/A89/100
Time to First Token (TTFT)N/A260 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-072025-11-12

API Pricing Comparison

Input Price per Million Tokens

GLM 5.1

$0.97

Qwen 2.5-Coder 32B

$0.35

Output Price per Million Tokens

GLM 5.1

$3.04

Qwen 2.5-Coder 32B

$0.70

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

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-Coder 32B
HumanEvalPython coding & logic synthesis
8950.0%vsN/A
GLM 5.1
Qwen 2.5-Coder 32B
MATHComplex mathematical problem solving
7700.0%vsN/A
GLM 5.1
Qwen 2.5-Coder 32B
GPQAGraduate-level expert reasoning
5100.0%vsN/A
GLM 5.1
Qwen 2.5-Coder 32B
HellaSwagCommonsense reasoning and inference
8850.0%vsN/A
GLM 5.1
Qwen 2.5-Coder 32B
MT-BenchMulti-turn conversation flow quality
920.0%vsN/A
GLM 5.1
Qwen 2.5-Coder 32B

GLM 5.1 Quirks & Gotchas

No developer gotchas reported.

Qwen 2.5-Coder 32B Quirks & Gotchas

  • โ–ธStrong code generation across 40+ languages โ€” excellent for multi-language repos
  • โ–ธAvailable via Alibaba Cloud API or self-hosted