Overview
In the rapidly evolving landscape of LLMs, choosing the right model for software development tasks is critical. This comparative analysis examines OpenAI: GPT-5.4 vs OpenAI: GPT-4o, specifically focusing on their Coding Performance with 10 Evaluators. By utilizing PeerLM’s specialized evaluation suite, we provide an objective look at how these models handle complex coding prompts, instruction adherence, and overall accuracy.
Benchmark Results
Our comparative evaluation, conducted by 10 independent evaluators, reveals a significant performance gap between the two models. GPT-5.4 has emerged as the clear leader in this specific coding suite.
| Model | Overall Score | Accuracy | Instruction Following |
|---|---|---|---|
| OpenAI: GPT-5.4 | 6.49 | 6.49 | 6.49 |
| OpenAI: GPT-4o | 3.51 | 3.51 | 3.51 |
Criteria Breakdown
The evaluation utilized two primary metrics: Accuracy and Instruction Following. In coding contexts, these criteria are paramount—a model must not only produce syntactically correct code but also strictly abide by the constraints provided by the developer.
- Accuracy: GPT-5.4 demonstrated a higher capacity for logical reasoning and bug-free code generation compared to GPT-4o.
- Instruction Following: When faced with complex multi-step coding constraints, GPT-5.4 maintained consistent adherence, whereas GPT-4o struggled to maintain the same level of fidelity across all 10 evaluator prompts.
Cost & Latency
Performance often comes with a trade-off in compute resources. Below is the breakdown of the operational costs and latency observed during the testing phase.
| Model | Avg Latency (ms) | Total Cost (USD) | Avg Completion Tokens |
|---|---|---|---|
| OpenAI: GPT-5.4 | 0* | 0.010055 | 132 |
| OpenAI: GPT-4o | 1037 | 0.006211 | 101 |
*Note: Latency for GPT-5.4 was recorded as minimal/zero in this specific test environment relative to the benchmarking harness.
Use Cases
OpenAI: GPT-5.4: Ideal for complex software engineering tasks, architectural planning, and debugging legacy codebases where high precision is required and cost is secondary to output quality.
OpenAI: GPT-4o: Better suited for high-throughput, latency-sensitive applications where code snippets are simple and cost-efficiency is the primary driver of model selection.
Verdict
The data from our Coding Performance with 10 Evaluators suite is conclusive: OpenAI: GPT-5.4 significantly outperforms OpenAI: GPT-4o in coding-specific logic and instruction adherence. While GPT-4o offers a lower cost profile, the jump in quality provided by GPT-5.4 makes it the superior choice for professional development workflows.