𝗜 𝗥𝗮𝗻 𝟭𝟬 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 𝟱 𝗖𝗼𝗱𝗶𝗻𝗴 𝗧𝗮𝘀𝗸𝘀
I ran a three-day benchmark to find the best coding AI models for 2026. I tested 10 models across 5 different coding tasks. I wanted to see if higher prices lead to better code.
I used 50 scored interactions. I looked at correctness, code quality, documentation, and edge cases.
The models I tested:
- DeepSeek V4 Flash ($0.25)
- DeepSeek Coder ($0.25)
- Qwen3-Coder-30B ($0.35)
- DeepSeek-R1 ($2.50)
- Kimi K2.5 ($3.00)
- (and 5 others)
The Results:
- Qwen3-Coder-30B: 8.8 score ($0.35)
- DeepSeek V4 Flash: 8.7 score ($0.25)
- DeepSeek Coder: 8.6 score ($0.25)
- DeepSeek-R1: 9.4 score ($2.50)
- Kimi K2.5: 9.0 score ($3.00)
Key Findings:
- Price does not equal quality. The correlation between price and score is very weak.
- You pay a luxury tax for expensive models. Kimi K2.5 costs 12x more than DeepSeek V4 Flash but only scores 0.3 points higher.
- Reasoning models win on hard tasks. DeepSeek-R1 excels at complex algorithms and security reviews. It is worth the high cost for deep logic work.
- Cheap models win on daily tasks. DeepSeek V4 Flash and Qwen3-Coder-30B are perfect for debugging and standard functions.
The Task Breakdown:
- Python Recursion: DeepSeek-R1 won with perfect analysis.
- JavaScript Bug Fix: DeepSeek V4 Flash and Qwen3-Coder-30B tied for the best value.
- TypeScript Algorithms: DeepSeek-R1 provided the best type safety.
- Go Security Review: DeepSeek-R1 found all issues and suggested tests.
Stop following hype on social media. Use data to pick your tools. If you need a daily driver, go with the cheap, high-scoring models. If you need to solve a hard math or logic problem, use a reasoning model.
Source: https://dev.to/rarenode/i-ran-10-ai-models-through-5-coding-tasks-heres-the-full-data-4ie6
Optional learning community: https://t.me/GyaanSetuAi