Tested DeepSeek V4 Flash with Some Large Code-Change Evaluations (Reddit r/LocalLLaMA)

Post highlights (translated and edited)

The author tested DeepSeek V4 Flash with several large code-change evaluations:

"Tested DeepSeek V4 Flash with some large code-change evaluations. It absolutely crushes it on tool-use accuracy!"

Highlights:

• Context management, tool-use accuracy, and reasoning traces all looked excellent

• It is one of the few open-weight models the author has tested that does not get confused by multiple tool calls or complex native tool definitions

• Across multiple runs, it made at least 100 tool calls with zero errors, including when editing multiple files in a single operation

Drawbacks:

• Slow token generation and a long reasoning time (it spent several full minutes thinking during the planning and execution stages)

Outlook:

• The author is looking forward to DeepSeek bringing more compute in the second half of 2026 (LFG)

Key conclusions

• Extremely high tool-calling reliability (100+ calls with zero errors), making it one of the few open-weight models that does not get confused by multiple tool calls

• Main weaknesses: slow generation and long reasoning time