DeepSeek V4.1 Flash vs V4 Pro
Who's stronger, pricier, and how to choose
As of 2026-10-19 the DeepSeek pricing page lists two live models: deepseek-flash (version DeepSeek-V4.1-Flash-1017) and deepseek-v4-pro (version DeepSeek-V4-Pro-0813). On 2026-10-17 DeepSeek upgraded V4.1 Flash to 1017 and says it is stronger on benchmarks, finishes tasks faster and returns shorter output than the previous version, a Pareto improvement in performance and cost; the changelog says the API calling method and the pricing stay unchanged. Earlier, on 2026-09-10, DeepSeek shipped V4.1 Flash, and the release note said "Tests by multiple parties put V4.1-Flash ahead of V4-Pro on performance, cost, speed & total runtime". V4 Pro was not retired: the changelog and the pricing page confirm that it continues with unchanged billing. This page sorts out the price gap, the context window and when to pick which of the two models.
Updated 2026-10-20
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Four key differences
Official multi-party tests
Release note: V4.1-Flash beats V4-Pro on performance/cost/speed/total runtime.
V4 Pro status
Changelog continues V4 Pro with unchanged billing (V4-Pro-0813).
Context/output
V4.1 Flash pricing page lists 1M context, 384K max output.
Price structure
Both are peak/off-peak with off-peak at half; Flash unit price is far lower.
What each is
V4.1 Flash is the smallest model of the new family—fast, cheap, native vision. V4 Pro (V4-Pro-0813) is the heavy-reasoning line. The official claim is Flash now beats Pro on several axes, yet Pro continues. Pick by latency/cost vs strongest reasoning.
The new version: Flash upgraded to 1017
On 2026-10-17 DeepSeek released DeepSeek-V4.1-Flash-1017; the release note is titled "DeepSeek-V4.1-Flash-1017: Wish-Driven Programming Made Real". DeepSeek says the new version is stronger on benchmarks, finishes tasks faster and returns shorter output than the previous one — a Pareto improvement in performance and cost — and it is live on the website, in the app and over the API; it uses reinforcement learning with self-feedback to improve end-to-end project development. Earlier, the release note of 2026-09-10 said "Tests by multiple parties put V4.1-Flash ahead of V4-Pro on performance, cost, speed & total runtime. We're phasing out V4-Pro"; the changelog and the pricing page then confirmed that V4 Pro continues with unchanged billing. The changelog decides, the pricing page shows the current rates: both models are there, and Flash is the new default DeepSeek pushes.
Timeline
On 2026-08-13 V4 Pro went GA (V4-Pro-0813), DeepSeek's heavy line.
On 2026-09-10 V4.1 Flash released; official claim it beats Pro; release note mentions phasing out V4-Pro.
On 2026-10-17 DeepSeek upgraded V4.1 Flash to DeepSeek-V4.1-Flash-1017, saying it is stronger on benchmarks, finishes tasks faster and returns shorter output than the previous version. The changelog says the API calling method and the pricing stay unchanged, and deepseek-flash still reaches the latest model. The release note of the same day is titled "DeepSeek-V4.1-Flash-1017: Wish-Driven Programming Made Real". Earlier, the 2026-09-10 changelog entry and the pricing page stated that DeepSeek keeps providing V4 Pro on request, with unchanged billing, and that v4-pro was not rerouted.
Confirmed vs caution
✅ Confirmed
The pricing page confirms two live models: deepseek-flash (DeepSeek-V4.1-Flash-1017) and deepseek-v4-pro (DeepSeek-V4-Pro-0813). The 2026-10-17 changelog entry confirms that V4.1 Flash was upgraded to DeepSeek-V4.1-Flash-1017, the API calling method and the pricing stay unchanged, and deepseek-flash still reaches the latest model. Earlier, V4.1 Flash was released on 2026-09-10; the release note says Flash is ahead on several axes, and the changelog of the same day decided to keep providing V4 Pro with unchanged billing, with DeepSeek-V4.1-Flash and DeepSeek-V4-Pro-0813 as the live versions back then.
⚠️ Caution
Three caveats. First, the 2026-10-17 release note compares against the previous version of Flash, not against V4 Pro, so it is not a new claim that Flash beats Pro. Second, the old names deepseek-v4-flash and deepseek-v4-flash-vision-exp are still accepted, but the models behind them are retired: their requests are served by DeepSeek-V4.1-Flash-1017 and billed at the Flash price. Third, DeepSeek has not published a direct comparison of the two models, and third-party benchmarks are not part of the comparison. The release note once said that v4-pro would be routed to Flash from 2026-09-14, but the 2026-09-10 changelog entry and the pricing page then confirmed that v4-pro continues with unchanged billing; the changelog and the pricing page decide.
Same vs differs
Same
Both official DeepSeek API, same base URL, thinking/non-thinking and tool calls, 1M context.
Differs
Flash is faster/cheaper and officially ahead on several axes; Pro is the heavy-reasoning line at a higher unit price. Same peak/off-peak structure, but at the same tier Pro costs several times Flash (pricing page, checked 2026-10-19).
How to choose
Low latency, high volume, budget-sensitive: pick V4.1 Flash — on 2026-10-17 DeepSeek upgraded it to DeepSeek-V4.1-Flash-1017 and says it finishes tasks faster with shorter output, and it handles vision input. Strongest reasoning or complex work at a higher unit price: pick V4 Pro (DeepSeek-V4-Pro-0813), but it does not support vision. The concurrency limits are 2500 and 500, and off-peak costs half of the peak rate, so part of the work can be moved there. On QCode both share one key and one endpoint — you only switch the model id; which version QCode serves follows /models.
Comparing on QCode
deepseek-v4.1-flash and deepseek-v4-pro are both available on QCode and share one key and one quota: run the same requests through both and you get your own baseline for cost and quality. DeepSeek's own model name is deepseek-flash, and after the 2026-10-17 upgrade to DeepSeek-V4.1-Flash-1017 neither the calling method nor the price changed; which version QCode serves right now is listed on /models. QCode bills per token and the per-model rates are on /models. Not ready for a monthly plan? Pay-as-you-go Packs start at $4 for a one-time quota you use within 7 days (top-ups start at $5).
FAQ
Is V4.1 Flash really better than V4 Pro?
The release note cites multi-party tests putting Flash ahead on performance/cost/speed/total runtime. That's the official claim; still validate on your own tasks.
Will V4 Pro be retired?
The release note once said 'phasing out', but the changelog's 2026-09-10 entry confirms V4 Pro continues after 2026-09-14 with unchanged billing, and the pricing page still lists it.
How big is the price gap?
The pricing page quotes prices per 1M tokens. Both are peak/off-peak, and the off-peak price is half the peak price: peak hours are 01:00-04:00 and 06:00-10:00 UTC Monday to Friday, excluding Chinese public holidays. At peak, a cache-miss input costs Flash $0.3 and Pro $1.32, and output costs Flash $1.2 and Pro $3.96 (checked 2026-10-19). Cache hits are cheaper, and Flash's unit price sits far below Pro (see the pricing page's daily table).
Same context?
Pricing page lists V4.1 Flash 1M context / 384K max output; V4 Pro also 1M.
How to compare on QCode?
Set deepseek-v4.1-flash and deepseek-v4-pro, run the same requests on one key, compare latency/quality/cost.
Should I migrate to Flash?
If 'Flash ahead' holds for your use case and you want lower cost/latency, yes; if you rely on Pro's strongest reasoning, Pro is still on sale.
Sources
DeepSeek release notes news260910 and the one of 2026-10-17, the changelog and the Models & Pricing page, captured 2026-09-18 and checked 2026-10-19. Where the release note and the changelog conflict on v4-pro, defer to the changelog's 2026-09-10 entry and the pricing page. Prices and versions follow the official pricing page, and the QCode ids follow /models; QCode ids and usage come from /models and the 30-day call statistics.
One key to compare both
deepseek-v4.1-flash and deepseek-v4-pro share one QCode key and one quota — you only change the model id; QCode bills per token, and per-model rates are listed on the Models page (/models).
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Official confirmations are listed, with the points to watch kept separate. Checked on 2026-10-19: prices, versions and specs follow the official pages, model availability is as listed on /models, and third-party benchmarks are not part of the comparison.