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GLM 5 vs Qwen2.5 Coder 32B Instruct

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 and Qwen2.5 Coder 32B Instruct.

Zhipu AI

GLM 5

GLM-5 is Z.aiโ€™s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...

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Alibaba

Qwen2.5 Coder 32B Instruct

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...

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Technical Specifications

SpecificationGLM 5Qwen2.5 Coder 32B Instruct
ProviderZhipu AIAlibaba
Context Window202,752 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-112024-11-11

API Pricing Comparison

Input Price per Million Tokens

GLM 5

$0.60

Qwen2.5 Coder 32B Instruct

$0.66

Output Price per Million Tokens

GLM 5

$1.92

Qwen2.5 Coder 32B Instruct

$1.00

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
8650.0%vs8120.0%
GLM 5
Qwen2.5 Coder 32B Instruct
HumanEvalPython coding & logic synthesis
8700.0%vs9150.0%
GLM 5
Qwen2.5 Coder 32B Instruct
MATHComplex mathematical problem solving
7400.0%vs6800.0%
GLM 5
Qwen2.5 Coder 32B Instruct
GPQAGraduate-level expert reasoning
4800.0%vs4050.0%
GLM 5
Qwen2.5 Coder 32B Instruct
HellaSwagCommonsense reasoning and inference
8700.0%vs8400.0%
GLM 5
Qwen2.5 Coder 32B Instruct
MT-BenchMulti-turn conversation flow quality
910.0%vs885.0%
GLM 5
Qwen2.5 Coder 32B Instruct

GLM 5 Quirks & Gotchas

No developer gotchas reported.

Qwen2.5 Coder 32B Instruct Quirks & Gotchas

No developer gotchas reported.