Overview
In the rapidly evolving landscape of large language models, xAI continues to iterate at a breakneck pace. This comparison focuses on the coding capabilities of xAI: Grok 4 vs xAI: Grok 3. Using PeerLM's rigorous evaluation framework, we engaged 10 independent evaluators to rank these models based on their ability to handle complex programming tasks, instruction following, and overall accuracy.
Benchmark Results
The following table summarizes the performance metrics observed during our comparative evaluation. While both models achieved identical top-tier scores in accuracy and instruction following, their operational profiles differ significantly.
| Model | Overall Score | Avg Completion Tokens | Total Cost (USD) | Avg Latency (ms) |
|---|---|---|---|---|
| xAI: Grok 4 | 5.0 | 1363 | $0.0925 | N/A |
| xAI: Grok 3 | 5.0 | 244 | $0.0173 | 299 |
Criteria Breakdown
Our evaluation focused on two primary pillars: Accuracy and Instruction Following. In both categories, the models performed at the ceiling of our evaluation scale, scoring a perfect 5.0. This indicates that for standard coding tasks, either model is capable of generating high-quality, syntactically correct, and logically sound code.
Instruction Following
Both models demonstrated an exemplary ability to adhere to complex constraints. Whether it was implementing specific design patterns or adhering to strict library requirements, the evaluators found no meaningful difference in the quality of output between Grok 4 and Grok 3.
Cost & Latency
While performance is equal, efficiency is where the models diverge. xAI: Grok 3 proves to be the highly efficient choice for developers, with an average cost per response significantly lower than its successor. Furthermore, Grok 3 maintains a measurable latency of 299ms, making it a highly responsive tool for real-time coding assistants and IDE integrations.
Conversely, xAI: Grok 4 handles much larger completion volumes (averaging 1363 tokens per task compared to 244 for Grok 3). This suggests that Grok 4 is optimized for deeper, more comprehensive code generation and architectural reasoning, which justifies its higher total cost per request.
Use Cases
- xAI: Grok 4: Best suited for complex architectural planning, multi-file refactoring, and tasks requiring extensive context windows where high completion volume is necessary to solve intricate logic.
- xAI: Grok 3: Ideal for rapid prototyping, autocomplete features, and routine bug fixing where low latency and cost-efficiency are critical to the developer workflow.
Verdict
When choosing between xAI: Grok 4 vs xAI: Grok 3 for coding, the decision hinges on your specific requirements. If you require deep, exhaustive code generation and are less sensitive to cost, Grok 4 is a powerhouse. If your priority is a snappy, cost-effective coding assistant, Grok 3 remains the superior choice.