Back to feed
Dev.to
Dev.to
7/13/2026
The original title is "Benchmarking 10 LLMs on 5 Coding Tasks: Price vs. Quality Results"

The original title is "Benchmarking 10 LLMs on 5 Coding Tasks: Price vs. Quality Results"

Original: Let Me Show You Which AI Model Actually Writes the Best Code

Short summary

The author benchmarked 10 LLMs across 5 coding tasks (function implementation, bug fixing, algorithms, code review, and full feature builds) to find the best value for code generation. DeepSeek V4 Flash scored 8.7 at $0.25/M output tokens, offering the best value-to-quality ratio, while DeepSeek-R1 excelled at reasoning tasks at $2.50/M. The quality spread across models was much smaller than the 15x price spread, suggesting budget models deliver most of the value for most use cases.

  • DeepSeek V4 Flash is the best value pick: 8.7/10 quality at $0.25/M output tokens
  • Quality spread across 10 models was far smaller than the 15x price spread
  • Test harness used 5 identical coding tasks scored on correctness, cleanliness, docs, and edge-case handling

Generated with AI, which can make mistakes.

Is this a good recommendation for you?

Comments

Failed to load comments. Please try again.

Explore more