Overview
In the rapidly evolving landscape of large language models, selecting the right architecture for software development tasks is critical. This analysis compares OpenAI: GPT-5.2 vs DeepSeek: DeepSeek V3.2, focusing specifically on their Coding Performance with 10 Evaluators. By utilizing PeerLM's comparative evaluation framework, we move beyond static benchmarks to understand how these models perform when scrutinized by human-in-the-loop expert reviewers.
Benchmark Results
The comparative evaluation highlights a distinct leader in coding tasks. DeepSeek: DeepSeek V3.2 secured the top rank, outperforming the competition across both Accuracy and Instruction Following criteria.
| Model | Overall Score | Accuracy | Instruction Following |
|---|---|---|---|
| DeepSeek: DeepSeek V3.2 | 5.38 | 5.38 | 5.38 |
| OpenAI: GPT-5.2 | 4.62 | 4.62 | 4.62 |
Criteria Breakdown
The evaluation centered on two primary pillars: Accuracy and Instruction Following. In coding contexts, accuracy refers to the syntactical and logical correctness of the generated code blocks, while instruction following measures how well the model adheres to specific constraints, such as using a particular library or maintaining a specific project structure.
- DeepSeek: DeepSeek V3.2 demonstrated superior alignment with evaluator expectations, achieving an overall score of 5.38.
- OpenAI: GPT-5.2 followed with an overall score of 4.62, showing consistent performance but falling behind the leader in this specific comparative set.
Cost & Latency
Beyond raw performance, cost-efficiency is a major factor for enterprise-scale deployments. The data reveals a significant disparity in resource consumption between the two models.
| Model | Total Cost (USD) | Cost/Output Token |
|---|---|---|
| DeepSeek: DeepSeek V3.2 | $0.000447 | $0.000764 |
| OpenAI: GPT-5.2 | $0.010465 | $0.016352 |
DeepSeek: DeepSeek V3.2 offers a significantly more cost-effective profile, making it an attractive choice for high-volume coding automation tasks.
Use Cases
Given the results of this Coding Performance with 10 Evaluators review, DeepSeek: DeepSeek V3.2 is ideally suited for high-throughput coding environments where cost-efficiency and high-accuracy code generation are paramount. OpenAI: GPT-5.2 remains a robust option, though users should weigh its performance metrics against the higher operational costs per token.
Verdict
The comparative analysis between OpenAI: GPT-5.2 vs DeepSeek: DeepSeek V3.2 confirms that DeepSeek currently holds the edge in coding-specific tasks. With a higher overall score and significantly lower cost, it represents the superior choice for developers prioritizing efficiency and performance.