Overview
In the rapidly evolving landscape of large language models, selecting the right architecture for software development tasks is critical. This report provides a detailed comparison of OpenAI: GPT-5.4 Mini vs DeepSeek: DeepSeek V3.2, focusing specifically on their Coding Performance with 10 Evaluators. By leveraging PeerLM's comparative evaluation methodology, we analyzed how these models handle complex coding instructions and output accuracy.
Benchmark Results
The comparative evaluation highlights a distinct performance gap between the two models. OpenAI: GPT-5.4 Mini emerged as the clear leader in this coding-focused suite, demonstrating a superior capability to handle technical prompts compared to DeepSeek: DeepSeek V3.2.
| Model | Overall Score | Accuracy | Instruction Following |
|---|---|---|---|
| OpenAI: GPT-5.4 Mini | 7.37 | 7.37 | 7.37 |
| DeepSeek: DeepSeek V3.2 | 2.63 | 2.63 | 2.63 |
Criteria Breakdown
Our evaluation focused on two core pillars of coding proficiency: Accuracy and Instruction Following. In the context of coding, accuracy refers to the syntactical correctness and logical soundness of the generated code, while instruction following assesses how well the model adheres to specific constraints or architectural requirements provided by the developer.
- Accuracy: OpenAI: GPT-5.4 Mini holds a significant lead, showing a more robust understanding of programming paradigms and edge-case handling.
- Instruction Following: The 10 evaluators consistently ranked OpenAI: GPT-5.4 Mini higher, noting its ability to maintain context throughout longer, multi-step coding tasks.
Cost & Latency
While OpenAI: GPT-5.4 Mini delivers higher performance, it is important to consider the trade-offs in cost. Below is a breakdown of the economic efficiency for both models based on the test run:
- OpenAI: GPT-5.4 Mini: Total cost of $0.003548 with a cost per output token of $0.005501.
- DeepSeek: DeepSeek V3.2: Total cost of $0.000447 with a cost per output token of $0.000764.
DeepSeek: DeepSeek V3.2 offers a significantly lower cost profile, which may be advantageous for high-volume, low-complexity tasks where top-tier accuracy is not the primary constraint.
Use Cases
For mission-critical applications, such as debugging complex production codebases or generating intricate microservices, OpenAI: GPT-5.4 Mini is the recommended choice due to its superior score in accuracy and instruction adherence. Conversely, DeepSeek: DeepSeek V3.2 serves as a highly economical alternative for rapid prototyping, simple script generation, or environments where budget constraints take precedence over advanced logical reasoning.
Verdict
The comparative analysis between OpenAI: GPT-5.4 Mini and DeepSeek: DeepSeek V3.2 reveals a clear hierarchy in coding performance. While DeepSeek provides an attractive cost-to-performance ratio, OpenAI: GPT-5.4 Mini remains the dominant model for developers requiring high-fidelity coding assistance.