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title: Kimi K3 + DS V4 Flash (Full Workflow): This just COSTS...
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# Kimi K3 + DS V4 Flash (Full Workflow): This just COSTS $10/m and BEATS $200/m PLANS!

**[AICodeKing](https://daily.dev/sources/aicodeking)** · 8 min read · 0 upvotes · 0 comments

## Summary

A sponsored video pitches Kline Pass, a $9.99/month (advertised as discounted to about $2/month or $16/year) subscription bundling access to open-weight AI models like Kimi K3, DeepSeek V4 Flash, GLM 5.2, Qwen, and Minimax M3. The creator argues open models have nearly closed the gap with closed frontier models on their personal benchmark, and demonstrates a workflow using Kimi K3 as a planning model and DeepSeek V4 Flash as an implementation model inside Cline's plan/act modes in VS Code, claiming this combo delivers near-frontier coding results while conserving usage limits.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=_BFs9MZL780>

## Questions this post answers

### What is the DeepSeek V4 Flash 0731 update and how much did it improve agentic coding performance?

The DeepSeek V4 Flash 0731 update significantly boosted the model's agentic coding ability, raising its score on the DeepSWE benchmark from 7.3 to 54.4, and putting it at 82.7 on Terminal Bench, above GLM 5.2 and just below Opus 4.8. It is a mixture-of-experts model with roughly 13 billion active parameters, making it fast and light on usage limits, and was reported as free to use on Cline and Cline Pass.

_Developers weighing model upgrades for agentic coding can track these performance shifts on daily.dev._

### How should I split model roles between planning and implementation when using Cline's plan and act modes?

A practical split is to use a stronger long-horizon model like Kimi K3 for plan mode, since planning is a small share of tokens but where mistakes cost the most, and a smaller fast model like DeepSeek V4 Flash for act mode, since implementation burns the bulk of tokens. Cline lets you assign separate models per mode in its settings, switching automatically when you change modes.

_Anyone optimizing AI coding workflows can follow ongoing agentic tooling discussions on daily.dev._

## Similar posts on daily.dev

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---

Tags: [#ai](https://daily.dev/tags/ai), [#ai-agents](https://daily.dev/tags/ai-agents), [#deepseek](https://daily.dev/tags/deepseek), [#kimi](https://daily.dev/tags/kimi)

[View this post on daily.dev](https://daily.dev/posts/kimi-k3-ds-v4-flash-full-workflow-this-just-costs-10-m-and-beats-200-m-plans--yfgducuwv)

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