 | Did some test tasks with v4 flash. The context management, tool use accuracy and thinking traces all looked excellent. It is one of the few open-weights models I have tested that does not get confused with multi tool calls or complex native tool definitions It must have called at least 100 tool calls over multiple runs, not a single error, not even when editing many files at once Downside: slow token generation and takes a while to finish thinking (I have not shown but it thought for good few minutes for planning and execution) Read that deepseek is bringing a lot more capacity online in H2'26. Looking forward to it, LFG [link] [comments] |
Tested Deepseek v4 flash with some large code change evals. It absolutely kills with too use accuracy!
Reddit r/LocalLLaMA / 4/24/2026
💬 OpinionSignals & Early TrendsTools & Practical UsageModels & Research
Key Points
- A tester ran evaluations on DeepSeek v4 Flash and reported that its context handling, tool-use accuracy, and thinking traces looked excellent.
- The model reportedly handled multi-tool calls and complex native tool definitions without getting confused, even after performing around 100+ tool calls across multiple runs.
- No tool-call errors were observed during the test runs, including scenarios involving edits to many files at once.
- The main downside noted was slower token generation and longer thinking/planning time (lasting several minutes for execution).
- The tester references expectations that DeepSeek plans to bring substantial additional capacity online in H2 2026, expressing optimism about upcoming improvements.
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