DeepSeek retired the model names deepseek-chat and deepseek-reasoner at 15:59 UTC on 24 July 2026. Both had pointed at DeepSeek-V4-Flash — the first at its non-thinking mode, the second at its thinking mode.

For anyone still calling the old names, the fix is a string change. The more useful question is what the V4 rate card does to a workload once you look past the headline number, so we priced the migration.

24 Jul, 15:59 UTCthe moment the legacy model names stopped working
3 monthsnotice given — in a changelog entry, not an announcement
50×V4-Flash cache-miss input vs cache-hit input
1M / 384Kcontext window and max output, both V4 models

How the deadline was communicated

  1. V4 lands, deprecation announced in the same breath

    The changelog entry that introduces V4-Pro and V4-Flash also gives the legacy names three months to live.

  2. No dedicated announcement follows

    The deadline appears in the changelog and as an inline note on the pricing page. There is no standalone migration post.

  3. deepseek-chat and deepseek-reasoner deprecated at 15:59 UTC

    Both names had pointed at V4-Flash — non-thinking and thinking mode respectively.

Three months is reasonable notice. Where it thins out is the channel: the deadline lives in a changelog entry that also announces V4, and as an inline note on the pricing and docs pages. There is no standalone migration announcement. A team that reads release notes caught it in April; a team that does not may have found out when a call failed.

What the migration actually costs

Computed by RECATOOLS26 July 2026
What you were onWhat it actually wasInput $/MOutput $/MCache-hit input $/M
deepseek-chatV4-Flash, non-thinking mode$0.14$0.28$0.0028
deepseek-reasonerV4-Flash, thinking mode$0.14$0.28$0.0028
(the upgrade path)V4-Pro$0.435$0.87$0.003625

Both retired names resolved to V4-Flash, so a like-for-like migration is a rename, not a repricing. Moving to V4-Pro is a deliberate upgrade: 3.11× the input price and 3.1× the output.

Like-for-like, nothing changes. Both retired names resolved to V4-Flash, so pointing your client at deepseek-v4-flash preserves your pricing exactly. The migration is only expensive if you treat it as an opportunity to move up a tier.

The upgrade is a real decision. V4-Pro costs 3.11 times V4-Flash on input and 3.11 times on output. That is a considered trade for harder reasoning work, not a default.

Where DeepSeek sits against the field

Computed by RECATOOLS26 July 2026
ModelIn / Out $/MBlend 3:1Blend 10:1Cached in
DeepSeek V4-Flash$0.14 / $0.28$0.18$0.15$0.0028
DeepSeek V4-Pro$0.435 / $0.87$0.54$0.47$0.003625
Claude Haiku 4.5$1.00 / $5.00$2.00$1.36$0.10
GPT-5.6 Luna$1.00 / $6.00$2.25$1.45$0.10
Gemini 3.6 Flash$1.50 / $7.50$3.00$2.05$0.15

Blended $/M = (r × input + output) ÷ (r + 1), using CACHE-MISS input — the honest basis for comparison.

At an agent-shaped 10:1 blend, V4-Flash lands at US$0.15 per million tokens — roughly a ninth of Claude Haiku 4.5 and a thirteenth of Gemini 3.6 Flash. Even V4-Pro, at US$0.47, undercuts every non-DeepSeek model in the workhorse tier. On price alone this end of the market is not close.

The number to be careful with

DeepSeek publishes a cache-hit input price of US$0.0028 per million on V4-Flash, which is 50 times lower than its cache-miss price of US$0.14. On V4-Pro the gap is wider still: US$0.003625 against US$0.435, a factor of 120.

That is a real discount on genuinely repeated prompt prefixes, and it is why every comparison in this article uses cache-miss pricing. Quote the cache-hit figure in a business case and you are assuming a cache-hit rate nobody has measured on your traffic. The honest planning number is the miss price, with cache savings treated as upside.

The caveats that matter

  • The failure mode after the cutoff is undocumented. DeepSeek's docs say only that the names are deprecated; they describe no grace period and no error contract.
  • No peak or off-peak pricing appears on the current V4 rate card. Time-of-day discounting existed in the V3 and R1 era; the pricing page as published carries flat rates only.
  • Both V4 models share a 1M-token context and a 384K max output, so the migration does not change what fits in a request.

Key takeaways

  • The deadline. deepseek-chat and deepseek-reasoner stopped working at 15:59 UTC on 24 July 2026.
  • The fix. Both names resolved to V4-Flash, so a like-for-like migration is a rename with no price change.
  • The upgrade. V4-Pro is 3.11 times V4-Flash on both input and output — a decision, not a default.
  • The comms. Three months' notice, delivered through a changelog entry and an inline docs note, with no dedicated announcement.
  • The number to watch. The sub-cent headline is a cache-hit rate, 50 times below cache-miss on Flash and 120 times below on Pro. Plan on the miss price.