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AI Choice Engine

DeepSeek

DeepSeek V4 Flash

DeepSeek V4 Flash is a DeepSeek model with 1M context, Not verified in / Not verified out per million tokens, last verified October 1, 2026. Open weights: yes. Status: Retired since September 10, 2026; the current pick is DeepSeek V4.1 Flash. Public-board scores are linked to the publisher; vendor-only figures stay in the watch-out, not on the board.

DeepSeek V4 Flash was the efficient open-weight (MIT) sibling of V4 Pro — retired from DeepSeek's API on 2026-09-10 and replaced by V4.1-Flash.

Recorded profile verification October 1, 2026Individual provider fields may change

AI model specification details
SpecificationDeepSeek V4 Flash
ProviderDeepSeek
TierBalanced
Context window1M
Max outputNot verifiedUnverified
Input / 1M tokensNot verifiedUnverified
Output / 1M tokensNot verifiedUnverified
WeightsOpen
Parameters284B total / 13B active (MoE)
Reasoning levelslow, high, max
Modalitiestext
LicenseMIT
API model iddeepseek-v4-flash
ReleasedApril 24, 2026

Pricing tiers: Retired 2026-09-10 — no longer sold. Historical checkpoint tariffs are not verified here. The legacy deepseek-v4-flash ID temporarily routes to V4.1-Flash at $0.30/$1.20 peak or $0.15/$0.60 off-peak. MIT weights remain. A current 384K API output limit belongs to the routed V4.1-Flash; the original checkpoint's hard output cap is not verified.

Publisher evidence

Published benchmark results

Each result keeps its source date visible. Dates refer to source publication or capture unless the source explicitly states when it measured the result. A missing benchmark is not treated as a zero.

Published benchmark results for DeepSeek V4 Flash
BenchmarkScoreSource dateSource
SWE-bench Verified79%2026-04-24DeepSeek original family HF model card (vendor, Think Max; historical April checkpoint, not the 0731 refresh) · View source
GPQA Diamond88.1%2026-04-24DeepSeek family HF model card (vendor, Think Max, pass@1) · View source
Humanity's Last Exam45.1%2026-04-24DeepSeek family HF model card (vendor, Think Max, with tools; 34.8 no tools) · View source
MMLU-Pro86.2%2026-04-24DeepSeek family HF model card (vendor, Think Max, exact match) · View source

Best for

  • Open-weight deployments
  • Cost-sensitive inference
  • High-volume serving

Watch out

Retired from the first-party API: the legacy ID reaches V4.1-Flash, not these original weights. MIT weights remain for self-hosting. Do not transfer the current alias's output cap or vision capabilities to the original text-only checkpoint.

History

DeepSeek V4 Flash timeline

Release and status events for this model that passed two-source verification — dated, sourced, and linked.

  • DeepSeek V4-Flash retiredStatus updateSeptember 10, 2026

    DeepSeek retires V4-Flash and V4-Flash-Vision-Exp. The legacy ids temporarily route to V4.1-Flash and bill at V4.1-Flash rates.

    DeepSeek — V4.1-Flash release notes
  • DeepSeek V4-Flash-Vision-ExpLimited previewAugust 21, 2026

    Experimental image-input variant of V4-Flash on the DeepSeek API.

    DeepSeek API changelog
  • DeepSeek-V4-Flash-0731ReleaseJuly 31, 2026
    DeepSeek API changelog

Source receipts

Catalog figures for this model were checked against the following sources.

Common questions

DeepSeek V4 Flash

Answered from the verified figures on this page rather than general guidance.

What is DeepSeek V4 Flash's context window?
DeepSeek V4 Flash accepts about 1M tokens of context. That only matters if you routinely send very long documents, large codebases, or multi-turn histories that approach that limit.
What is DeepSeek V4 Flash best for?
DeepSeek V4 Flash is a balanced tier from DeepSeek. It suits open-weight deployments, cost-sensitive inference, high-volume serving. Retired from the first-party API: the legacy ID reaches V4.1-Flash, not these original weights. MIT weights remain for self-hosting. Do not transfer the current alias's output cap or vision capabilities to the original text-only checkpoint.
Can I self-host DeepSeek V4 Flash?
DeepSeek V4 Flash publishes open weights, but self-hosting depends on the licence, hardware footprint, quantisation quality, and serving stack. A hosted API is often cheaper until you have measured throughput and concurrency on your own hardware.