Deepseek flash v4 july sounds like fun and games while you're looking at prices, but it routinely outputs incoherent rubbish and fails to call tools correctly.
Sadly oversold. I hold little hope for the vision model either now.
Deepseek flash v4 july sounds like fun and games while you're looking at prices, but it routinely outputs incoherent rubbish and fails to call tools correctly.
Sadly oversold. I hold little hope for the vision model either now.
Are you using an API, or running locally? If so, are you running with a quant, or other 'optimisations'?
I've been using it via openrouter pretty heavily as my daily driver for the past week and loving it, have never experienced incoherent rubbish even at 500k+ contexts (that's usually way higher than I'd typically compact at), and tool calling reliability is better than Opus 5 in the Claude Code harness.
Modern Anthropic models frequently get tool calls wrong, invent non-existent references or SQL tables, or have gibberish CJK characters in the output, like out of nowhere. Of course, they're great at self-recovery after an incorrect tool call, but so is Deepseek v4 flash.
If you're running a quant, and esp with a quant'd KV cache, then yeah, not surprised if you're getting incoherent results; but you're not running the real/full model.
Also, which harness? Try something like Pi or OMP. Models perform better in these harnesses than Claude Code: https://www.databricks.com/blog/benchmarking-coding-agents-d...
The main reason to use Cladue Code is a subsidised Anthropic subscription. If you're on API rates, you should not use Claude Code; you pay more for worse results. Claude Code is sadly quite bloated these days, and comes with a lot of proprietary context window garage like claude design skills, claude.ai artifacts, etc that you probably don't use, and if you do, well, you can add it.