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title: V4-Flash vs. V4-Pro: DeepSeek promised better and...
description: DeepSeek refreshed V4-Flash out of preview, claiming it beats V4-Pro on coding benchmarks at one-third the price. A hands-on test using three real coding tasks...
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og:description: DeepSeek refreshed V4-Flash out of preview, claiming it beats V4-Pro on coding benchmarks at one-third the price. A hands-on test using three real coding tasks...
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# V4-Flash vs. V4-Pro: DeepSeek promised better and cheaper. It’s true, but not how I expected.

**[The New Stack](https://daily.dev/sources/newstack)** · 10 min read · 0 upvotes · 0 comments

## Summary

DeepSeek refreshed V4-Flash out of preview, claiming it beats V4-Pro on coding benchmarks at one-third the price. A hands-on test using three real coding tasks on the Rich Python library (bug fix, feature build, performance optimization) found Flash and Pro identical on the first two tasks. On the open-ended optimization task, Flash achieved a 1.83x speedup vs Pro's 1.06x, but burned 15.4M tokens (vs Pro's 4.7M). Thanks to cache-read pricing, total bills came out nearly equal: $0.09 for Flash vs $0.10 for Pro. The conclusion: Flash does reason better, but its heavier token usage closes the cost gap almost entirely, and DeepSeek has warned prices are rising soon.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenewstack.io/deepseek-flash-pro-benchmark>

## Questions this post answers

### Is DeepSeek V4-Flash actually better than V4-Pro for coding tasks and is it really cheaper?

Flash outperforms Pro on reasoning-heavy coding tasks — achieving a 1.83x rendering speedup vs Pro's 1.06x in a real optimization test — but uses roughly three times the tokens. Because Flash's rates are one-third of Pro's ($0.14/$0.28 vs $0.435/$0.87 per million tokens), the bills end up nearly identical: $0.09 total for Flash vs $0.10 for Pro across three professional coding tasks.

_Engineers choosing between DeepSeek models for agentic coding workloads track pricing shifts and real-world benchmarks like this on daily.dev._

### What are the current DeepSeek V4-Flash and V4-Pro API token prices?

DeepSeek V4-Flash is priced at $0.14 per million input tokens and $0.28 per million output tokens. V4-Pro costs $0.435 per million input and $0.87 per million output — almost exactly three times Flash's price on both input and output. DeepSeek has also posted a warning on its usage dashboard that prices are set to increase significantly.

_Developers budgeting for AI API costs can follow DeepSeek pricing changes and comparisons on daily.dev._

### How do I add DeepSeek V4-Pro to OpenCode's model picker?

OpenCode's built-in DeepSeek model list only includes Flash by default, and a GitHub issue requesting Pro support was closed as not-planned. To use Pro, add a small JSON config file to the project folder pointing to the V4-Pro endpoint. The process takes about two minutes using a community-published configuration guide.

_Developers setting up agentic coding workflows with OpenCode find setup tips and model comparisons on daily.dev._

## Similar posts on daily.dev

- [OpenCode \+ DeepSeek V4: The Budget Combo That Doesn't Feel Like a Budget Combo](https://daily.dev/posts/opencode-deepseek-v4-the-budget-combo-that-doesn-t-feel-like-a-budget-combo-d9ybqvwwf) · Playful Programming · 3 upvotes · 0 comments
- [DeepSeek V4—almost on the frontier, a fraction of the price](https://daily.dev/posts/deepseek-v4-almost-on-the-frontier-a-fraction-of-the-price-xfglgl9rp) · Simon Willison · 7 upvotes · 0 comments

---

Tags: [#ai](https://daily.dev/tags/ai), [#python](https://daily.dev/tags/python), [#ai-coding](https://daily.dev/tags/ai-coding), [#deepseek](https://daily.dev/tags/deepseek), [#opencode](https://daily.dev/tags/opencode)

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