Skip to content
AI Atlas
ModelActiveOpen weightsIdentity probable

DeepSeek V4 Flash 0423

DeepSeekfamily · DeepSeekhuggingface.co/deepseek-ai/DeepSeek-V4-Flash

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...

Open in Graph
data quality68

Updated 2 h ago · first seen 11 Sept 2026

model_01M294WW0M9SRBDTMYPH56GG7K

Overview

Identity

Canonical model
Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
official_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
2
API aliases
deepseek/deepseek-v4-flashIdentifiers under which providers and evaluators refer to this model.
Folded evaluation variants
0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Open weights— weights downloadable under MIT; commercial use allowed; redistribution allowed; derivatives allowed; 4 dimensions unknown.

Weights downloadable under a permissive or Creative Commons licence allowing commercial use; code or data may be missing.

  • Weights

    Yes

  • Inference code

    —

  • Training code

    —

  • Training data

    —

  • Dataset

    —

  • Commercial use

    Yes

  • Redistribution

    Yes

  • Derivatives

    Yes

Licence: MIT License (permissive · SPDX MIT · stated as “mit”)

dimensions marked null are unknown, not false

Key facts

Release date

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 7 h agomedium

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Hugging Face repo

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Capabilities

Modalities

Modalities
text
Input
text
Output
text

Capabilities

  • Tool calling

    Yes

    OpenRouter public model & pricing listing · T2

  • Structured output

    Yes

    OpenRouter public model & pricing listing · T2

  • Reasoning

    Yes

    OpenRouter public model & pricing listing · T2

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Providers & Pricing2

All offers in the price terminal →
Provider deployments, cheapest output first
ProviderContextInput / 1MCached inOutput / 1MStatusObservedSource
DeepSeek APIcheapest outputdeepseek/deepseek-v4-flash1.02Mout 384K$0.013active3 h agosince 12 Sept 2026openrouter.aiT2
OpenRouterdeepseek/deepseek-v4-flash1.02Mout 384K$0.013active2 h agosince 12 Sept 2026openrouter.aiT2

USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 2 providers

Output price history of DeepSeek V4 Flash 0423$0$0.05$0.10$0.15$0.20Sept 26Sept 26Sept 26Sept 26DeepSeek API: first observed → $0.17 · 11 Sept 2026DeepSeek API: $0.17 → $0.169 · 11 Sept 2026DeepSeek API: $0.169 → $0.135 · 12 Sept 2026DeepSeek API: $0.135 → $0.135 · 12 Sept 2026DeepSeek API: $0.135 → $0.134 · 12 Sept 2026DeepSeek API: $0.134 → $0.134 · 12 Sept 2026DeepSeek API: $0.134 → $0.134 · 12 Sept 2026OpenRouter: first observed → $0.134 · 12 Sept 2026
  • DeepSeek API
  • OpenRouter
  • OpenRouterfirst observed $0.13412 Sept 2026
  • DeepSeek API$0.134 → $0.13412 Sept 2026
  • DeepSeek API$0.134 → $0.13412 Sept 2026
  • DeepSeek API$0.135 → $0.13412 Sept 2026
  • DeepSeek API$0.135 → $0.13512 Sept 2026
  • DeepSeek API$0.169 → $0.13512 Sept 2026
  • DeepSeek API$0.17 → $0.16911 Sept 2026
  • DeepSeek APIfirst observed $0.1711 Sept 2026

Input price · USD / 1M tokens 2 providers

Input price history of DeepSeek V4 Flash 0423$0$0.02$0.04$0.06$0.08$0.10Sept 26Sept 26Sept 26Sept 26DeepSeek API: first observed → $0.085 · 11 Sept 2026DeepSeek API: $0.085 → $0.085 · 11 Sept 2026DeepSeek API: $0.085 → $0.068 · 12 Sept 2026DeepSeek API: $0.068 → $0.067 · 12 Sept 2026DeepSeek API: $0.067 → $0.067 · 12 Sept 2026DeepSeek API: $0.067 → $0.067 · 12 Sept 2026DeepSeek API: $0.067 → $0.067 · 12 Sept 2026OpenRouter: first observed → $0.067 · 12 Sept 2026
  • DeepSeek API
  • OpenRouter
  • OpenRouterfirst observed $0.06712 Sept 2026
  • DeepSeek API$0.067 → $0.06712 Sept 2026
  • DeepSeek API$0.067 → $0.06712 Sept 2026
  • DeepSeek API$0.067 → $0.06712 Sept 2026
  • DeepSeek API$0.068 → $0.06712 Sept 2026
  • DeepSeek API$0.085 → $0.06812 Sept 2026
  • DeepSeek API$0.085 → $0.08511 Sept 2026
  • DeepSeek APIfirst observed $0.08511 Sept 2026

Hardware fit37

Estimated

7 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit—167.8 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit—167.8 GB est.Yes
Apple M2 Ultra4bit—167.8 GB est.Yes
NVIDIA B2004bit180 GB167.8 GB est.Yes
AMD Instinct MI300X4bit192 GB167.8 GB est.Yes
AMD Instinct MI325X4bit256 GB167.8 GB est.Yes
NVIDIA DGX B2004bit1,440 GB167.8 GB est.Yes
Apple M1 Ultra4bit—167.8 GB est.No
Apple M3 Max4bit—167.8 GB est.No
Apple M4 Max4bit—167.8 GB est.No
Mac Studio (Apple M5 Max)4bit—167.8 GB est.No
MacBook Pro (Apple M5 Max)4bit—167.8 GB est.No
Apple M2 Max4bit—167.8 GB est.No
Apple M1 Max4bit—167.8 GB est.No
Apple M4 Pro4bit—167.8 GB est.No
Mac mini (Apple M5 Pro)4bit—167.8 GB est.No
MacBook Pro (Apple M5 Pro)4bit—167.8 GB est.No
Apple M3 Pro4bit—167.8 GB est.No
Apple M1 Pro4bit—167.8 GB est.No
Apple M2 Pro4bit—167.8 GB est.No
Apple M44bit—167.8 GB est.No
iMac (Apple M4)4bit—167.8 GB est.No
Mac mini (Apple M6)4bit—167.8 GB est.No
MacBook Air (Apple M5)4bit—167.8 GB est.No
MacBook Pro (Apple M5)4bit—167.8 GB est.No
Apple M24bit—167.8 GB est.No
Apple M34bit—167.8 GB est.No
Apple M14bit—167.8 GB est.No
NVIDIA GeForce RTX 30904bit24 GB167.8 GB est.No
NVIDIA GeForce RTX 40904bit24 GB167.8 GB est.No
NVIDIA GeForce RTX 50904bit32 GB167.8 GB est.No
NVIDIA A100 80GB4bit80 GB167.8 GB est.No
NVIDIA H100 SXM4bit80 GB167.8 GB est.No
NVIDIA H100 NVL4bit94 GB167.8 GB est.No
NVIDIA DGX Spark4bit128 GB167.8 GB est.No
NVIDIA H2004bit141 GB167.8 GB est.No
NVIDIA H200 NVL4bit141 GB167.8 GB est.No
Assumptions (7)
  • Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead (or the observed artifact file size when one is recorded).
  • bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
  • KV cache: 2 × layers × kv_heads × head_dim × 2 bytes × context × batch when the architecture is known; otherwise 0.5 GB per 8 192 tokens (× batch), independent of architecture (GQA/MLA models need less).
  • A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
  • Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
  • Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).
  • Multi-GPU: device memories are summed; interconnect bandwidth, tensor-parallel replication and pipeline bubbles are not modelled.

Versions & Artifacts0

Version history

Context windowfirst observation only

11 Sept 2026current

Licensefirst observation only

11 Sept 2026current

Max outputfirst observation only

11 Sept 2026current

Opennessfirst observation only

11 Sept 2026current

Parametersfirst observation only

11 Sept 2026current

Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.

Artifacts 0

No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.

Papers1

Timeline9

Full timeline →
  • Listed by providerModelDeepSeek V4 Flash 0423DeepSeek

    OpenRouter lists DeepSeek V4 Flash 0423 at $0.06678 in / $0.13356 out per 1M tokens

    openrouter
    openrouter.ai
  • Price changedModelDeepSeek V4 Flash 0423DeepSeek

    DeepSeek API changed pricing for DeepSeek V4 Flash 0423: $0.06706 in / $0.13412 out per 1M tokens → $0.06678 in / $0.13356 out per 1M tokens

    $0.067 in / $0.134 out→$0.067 in / $0.134 outopenrouter
    openrouter.ai
  • Price changedModelDeepSeek V4 Flash 0423DeepSeek

    DeepSeek API changed pricing for DeepSeek V4 Flash 0423: $0.06678 in / $0.13356 out per 1M tokens → $0.06706 in / $0.13412 out per 1M tokens

    $0.067 in / $0.134 out→$0.067 in / $0.134 outopenrouter
    openrouter.ai
  • Price changedModelDeepSeek V4 Flash 0423DeepSeek

    DeepSeek API changed pricing for DeepSeek V4 Flash 0423: $0.06734 in / $0.13468 out per 1M tokens → $0.06678 in / $0.13356 out per 1M tokens

    $0.067 in / $0.135 out→$0.067 in / $0.134 outopenrouter
    openrouter.ai
  • Price changedModelDeepSeek V4 Flash 0423DeepSeek

    DeepSeek API changed pricing for DeepSeek V4 Flash 0423: $0.06762 in / $0.13524 out per 1M tokens → $0.06734 in / $0.13468 out per 1M tokens

    $0.068 in / $0.135 out→$0.067 in / $0.135 outopenrouter
    openrouter.ai
  • Price changedModelDeepSeek V4 Flash 0423DeepSeek

    DeepSeek API changed pricing for DeepSeek V4 Flash 0423: $0.08456 in / $0.16912 out per 1M tokens → $0.06762 in / $0.13524 out per 1M tokens

    $0.085 in / $0.169 out→$0.068 in / $0.135 outopenrouter
    openrouter.ai
  • Price changedModelDeepSeek V4 Flash 0423DeepSeek

    DeepSeek API changed pricing for DeepSeek V4 Flash 0423: $0.08484 in / $0.16968 out per 1M tokens → $0.08456 in / $0.16912 out per 1M tokens

    $0.085 in / $0.17 out→$0.085 in / $0.169 outopenrouter
    openrouter.ai
  • Release date changedModelDeepSeek V4 Flash 0423DeepSeek

    DeepSeek V4 Flash 0423: release date changed from 2026-04-22 to 2026-04-24

    Release date22 Apr 2026→24 Apr 2026openrouter
    openrouter.ai
  • Release date changedModelDeepSeek V4 Flash 0423DeepSeek

    DeepSeek V4 Flash 0423: release date changed from 2026-04-24 to 2026-04-22

    Release date24 Apr 2026→22 Apr 2026huggingface
    huggingface.co

Change history39

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 12 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

Attributes as of 12 Sept 2026 38 claims in force

Release date
22 Apr 2026
Openness
open-weights
License
MIT
Architecture
DeepseekV4ForCausalLM
Parameters
290.9B
Context window
1.05M tokens
Max output
384K tokens
Modalities
text
Input modalities
text
Output modalities
text
Tokenizer
DeepSeek
Quantization format
fp8
File size
159.6 GB
Hugging Face repo
deepseek-ai/DeepSeek-V4-Flash
Pipeline tag
text-generation
Downloads
1,783,023
Likes
2,212
Commercial use allowed
Yes
Derivatives allowed
Yes
Gated
No
Hf inference providers
deepinfra, featherless-ai, novita
Is quantized
Yes
Last modified
2026-06-22T12:12:13+00:00
Library name
transformers
Downloads all time
11,642,153
Model type
deepseek_v4
Openrouter id
deepseek/deepseek-v4-flash
Openrouter listed at
24 Apr 2026
Reasoning
Yes
Redistribution allowed
Yes
Structured output
Yes
Supported parameters
frequency_penalty, include_reasoning, logit_bias, logprobs, max_completion_tokens, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_a, top_k, top_logprobs, top_p
Tags
transformers, safetensors, deepseek_v4, text-generation, 8-bit, fp8
Tool calling
Yes
Weights available
Yes
Weights dtype
BF16, F32, F8_E4M3, I64, I8
39 claims · 34 properties

Release daterelease_date6

Claim history for Release date
ValueValid from → toStatusSourceConfidenceExtractor
22 Apr 2026 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
24 Apr 2026 → supersededOpenRouter public model & pricing listingT2mediumdeterministic
22 Apr 2026 → supersededHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
24 Apr 2026 → supersededOpenRouter public model & pricing listingT2mediumdeterministic
22 Apr 2026 → supersededHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
24 Apr 2026 → supersededOpenRouter public model & pricing listingT2mediumdeterministic

Opennessopenness1

Claim history for Openness
ValueValid from → toStatusSourceConfidenceExtractor
open-weights → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

Claim history for License
ValueValid from → toStatusSourceConfidenceExtractor
mit → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

Claim history for Architecture
ValueValid from → toStatusSourceConfidenceExtractor
DeepseekV4ForCausalLM → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

Claim history for Parameters
ValueValid from → toStatusSourceConfidenceExtractor
290.9B → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Context windowcontext_length1

Claim history for Context window
ValueValid from → toStatusSourceConfidenceExtractor
1.05M tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Max outputmax_output_tokens1

Claim history for Max output
ValueValid from → toStatusSourceConfidenceExtractor
384K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Modalitiesmodalities1

Claim history for Modalities
ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Input modalitiesmodalities_input1

Claim history for Input modalities
ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Output modalitiesmodalities_output1

Claim history for Output modalities
ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Tokenizertokenizer1

Claim history for Tokenizer
ValueValid from → toStatusSourceConfidenceExtractor
DeepSeek → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Quantization formatquant_format1

Claim history for Quantization format
ValueValid from → toStatusSourceConfidenceExtractor
fp8 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

Claim history for File size
ValueValid from → toStatusSourceConfidenceExtractor
159.6 GB → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

Claim history for Hugging Face repo
ValueValid from → toStatusSourceConfidenceExtractor
deepseek-ai/DeepSeek-V4-Flash → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Pipeline tagpipeline_tag1

Claim history for Pipeline tag
ValueValid from → toStatusSourceConfidenceExtractor
text-generation → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

Claim history for Model card
ValueValid from → toStatusSourceConfidenceExtractor
https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

Claim history for Downloads
ValueValid from → toStatusSourceConfidenceExtractor
1,783,023 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

Claim history for Likes
ValueValid from → toStatusSourceConfidenceExtractor
2,212 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Descriptiondescription1

Claim history for Description
ValueValid from → toStatusSourceConfidenceExtractor
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and... → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Gatedgated1

Claim history for Gated
ValueValid from → toStatusSourceConfidenceExtractor
No → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hf inference providershf_inference_providers1

Claim history for Hf inference providers
ValueValid from → toStatusSourceConfidenceExtractor
deepinfra, featherless-ai, novita → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Is quantizedis_quantized1

Claim history for Is quantized
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

Claim history for Last modified
ValueValid from → toStatusSourceConfidenceExtractor
2026-06-22T12:12:13+00:00 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

Claim history for Library name
ValueValid from → toStatusSourceConfidenceExtractor
transformers → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloads all timemetric.downloads_all_time1

Claim history for Downloads all time
ValueValid from → toStatusSourceConfidenceExtractor
11,642,153 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

Claim history for Model type
ValueValid from → toStatusSourceConfidenceExtractor
deepseek_v4 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Openrouter idopenrouter_id1

Claim history for Openrouter id
ValueValid from → toStatusSourceConfidenceExtractor
deepseek/deepseek-v4-flash → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Openrouter listed atopenrouter_listed_at1

Claim history for Openrouter listed at
ValueValid from → toStatusSourceConfidenceExtractor
24 Apr 2026 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Reasoningreasoning1

Claim history for Reasoning
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Structured outputstructured_output1

Claim history for Structured output
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Supported parameterssupported_parameters1

Claim history for Supported parameters
ValueValid from → toStatusSourceConfidenceExtractor
frequency_penalty, include_reasoning, logit_bias, logprobs, max_completion_tokens, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_a, top_k, top_logprobs, top_p → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Tagstags1

Claim history for Tags
ValueValid from → toStatusSourceConfidenceExtractor
transformers, safetensors, deepseek_v4, text-generation, 8-bit, fp8 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tool callingtool_calling1

Claim history for Tool calling
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Weights dtypeweights_dtype1

Claim history for Weights dtype
ValueValid from → toStatusSourceConfidenceExtractor
BF16, F32, F8_E4M3, I64, I8 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

40

Source tiers

T240

Freshest observation

2 h ago

Conflicts

None

Source documents 4

Source documents
SourceDocumentTypeTierLast observedSnapshots
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary2 h ago8
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=deepseek-ai&p=0&sort=downloads listingT2· Quality secondary2 h ago7
Hugging Face Hub (public pages, model cards, papers)huggingface.co/deepseek-ai/DeepSeek-V4-Flash/raw/main/README.md model_cardT2· Quality secondary5 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/deepseek-ai/DeepSeek-V4-Flash model_pageT2· Quality secondary6 h ago4

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (68/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →