Reasoning / generalist / open-weight / self-host

DeepSeek

  • V4‑Pro‑0813 from 08/13/2026 peak $1.32/$3.96

    1M context, output up to 384k, MIT license. Off‑peak, since 08/16/2026, is $0.66/$1.98.

  • V4.1 Flash off-peak about $0.15/$0.60

    The current Flash, with vision. The older deepseek‑v4‑flash slug already serves V4.1.

Peak hours are 01:00-04:00 and 06:00-10:00 UTC. V3 and R1 are being retired.

  • Verified2026-09-20
  • Models covered3
  • Sources3
  • Deployment channels2

Purchase decision (when to choose / when to avoid)

Choose if...

  • Priority is reasoning/code at low token cost (high volume).
  • You want MIT / no MAU clauses - easier legal compliance for self-host.
  • You're building batch processing and optimizing cache/costs.

Avoid if...

  • You need the largest enterprise ecosystem and ready EU integrations.
  • You have use cases requiring top Polish quality - consider Bielik or top models with PL tests.

Cost in practice (scenarios)

High volume

Usually very competitive token cost; caching pays off.

  • batch
  • automations
Self-host

MIT simplifies legal; cost is GPU + maintenance.

  • MLOps
These are estimates/scenarios (not an invoice). Actual cost depends on context length, number of users, limits and retention policies.

Deployment / data / enterprise

Deployment channels

  • DeepSeek API (OpenAI-compatible)
  • Self-host (MIT) - depending on variant and resources

Data policy

Training on data
Depends on mode (API vs self-host).
Retention
API: depends on terms; self-host: on your side.
Data residency
Depends on region/service.
For companies: key are retention policies and regions - check sources.

Enterprise readiness

Admin
API + billing; enterprise depends on offering.
SSO/SCIM
Depends on offering.
Audit
Depends on offering.
DPA
Depends on agreement.
Certifications
Depends on agreement.
Great for volume reasoning/code, but enterprise integrations can be modest.

Best use cases

  • reasoning tasks (math, logic, code) on a limited budget
  • self-host with full data control - MIT license, no MAU clauses
  • batch pipelines with high volume - V4.1 Flash; schedule off-peak windows for lower rates.

Strengths

  • V4-Pro-0813 / V4.1 Flash: hybrid reasoning with DSA; MIT - self-host, modifications; 1M ctx and 384K output; Flash includes vision.
  • Still far cheaper than closed-source frontier models, even after peak/off-peak.
  • OpenAI- and Anthropic-compatible API; Responses API; distilled variants for smaller GPUs.

Weaknesses / risks

  • Peak/off-peak since 08/16/2026 (Pro output up to $3.96 in peak, $1.98 off-peak).
  • Sunset of older V3/R1; industry controversies around distillation; smaller ecosystem than OpenAI.

Current models (examples)

  • DeepSeek V4-Pro-0813 (GA 08/13/2026) - 1M ctx, 384K output, DSA, MIT.
  • DeepSeek-V4.1-Flash (`deepseek-flash`) - current Flash with vision; older V4-Flash-0731 serves V4.1.
  • DeepSeek-R1, V3.x (legacy, sunset) - R1 Distill Llama 70B, Qwen 14B/8B.

Alternatives (if this model doesn't fit)