Overview
As the demand for AI-assisted software development grows, choosing the right model for your codebase is critical. In this evaluation, we compare DeepSeek: R1 vs Z.ai: GLM 5 within the context of Coding Performance with 10 Evaluators. PeerLM’s comparative analysis focuses on how these models handle complex coding prompts, measuring their ability to provide accurate, instruction-compliant solutions.
Benchmark Results
Our comparative evaluation, conducted by 10 independent evaluators, reveals a significant performance gap between the two models. Z.ai: GLM 5 emerges as the clear leader in this specific coding suite.
| Model | Rank | Overall Score | Accuracy | Instruction Following |
|---|---|---|---|---|
| Z.ai: GLM 5 | 1 | 7.11 | 7.11 | 7.11 |
| DeepSeek: R1 | 2 | 2.89 | 2.89 | 2.89 |
Criteria Breakdown
The evaluation centered on two primary pillars: Accuracy and Instruction Following. In coding tasks, these metrics are vital for ensuring that the generated code is not only syntactically correct but also adheres strictly to the provided architectural requirements. Z.ai: GLM 5 demonstrated superior alignment with evaluator expectations, achieving a score of 7.11 compared to DeepSeek: R1's score of 2.89.
Cost & Latency
Beyond raw performance, cost efficiency is a major factor for teams scaling AI-integrated development environments. The table below highlights the economic footprint of each model during the benchmark run.
| Model | Total Cost (USD) | Avg Completion Tokens | Cost per Output Token |
|---|---|---|---|
| Z.ai: GLM 5 | 0.009623 | 976 | 0.002465 |
| DeepSeek: R1 | 0.027719 | 2,712 | 0.002556 |
Z.ai: GLM 5 is significantly more cost-effective, with a total cost of $0.009623 for the test set, compared to the $0.027719 incurred by DeepSeek: R1. Furthermore, DeepSeek: R1 generated significantly longer completions on average, which may account for its higher total operational cost in this coding suite.
Use Cases
- Z.ai: GLM 5: Best suited for enterprise-grade coding assistants where high accuracy and low cost-per-request are non-negotiable requirements.
- DeepSeek: R1: May be better suited for experimental tasks or scenarios where longer, more verbose reasoning paths are preferred over concise code generation.
Verdict
When analyzing DeepSeek: R1 vs Z.ai: GLM 5 for coding tasks, Z.ai: GLM 5 provides a more efficient and accurate experience. With a higher overall score and a lower cost profile, it stands out as the top performer for developers requiring reliable code generation.