DeepSeek V4 Flash Vision Exp model profile

Profile facts

Profile type

Model research profile

Provider or publisher

DeepSeek

Context window

1,048,576 tokens

Snapshot date

2026-09-06

Knowledge cutoff

Not disclosed

Reference catalog ID

deepseek/deepseek-v4-flash-vision-exp

When to pick DeepSeek V4 Flash Vision Exp

DeepSeek V4 Flash Vision Exp is a reference profile: DeepSeek publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Each condition below is derived from this model's own values in the 2026-09-06 snapshot, compared only against models publishing the same field.

• Reach for it when a whole corpus has to fit in one prompt. The 1.05M-token context window is in the top quarter of the 163 models publishing a limit here, so long documents can go in whole rather than chunked.
• Reach for it when the input includes images. The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described.
• Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.
• Reach for it when you want to trade depth against cost per call. Reasoning effort is selectable across max, high, low, so one route can serve both cheap and deep work.
• Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.

Context, modalities, and identity

DeepSeek V4 Flash Vision Exp accepts text and image and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, tool calling, and vision as capabilities or interfaces.

Provider or publisher

DeepSeek

Context window

1,048,576 tokens

Maximum output

384,000 tokens

Input modalities

text and image

Output modalities

text

Knowledge cutoff

Not disclosed

Model overview

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of DeepSeek V4 Flash 0731 from DeepSeek, adding image understanding while matching the base model on text capabilities including agents, reasoning, and world knowledge. It is a sparse mixture-of-experts model with 13B active parameters out of 284B total. It is suited for document and chart understanding, visual question answering, and multimodal agent workflows that interleave text and images.

Reference model ID

deepseek/deepseek-v4-flash-vision-exp

Canonical version

deepseek/deepseek-v4-flash-vision-exp-20260821

Hugging Face ID

deepseek-ai/DeepSeek-V4-Flash-Vision-Exp

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters

frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p

• prompt caching
• reasoning controls
• structured output
• text generation
• tool calling
• vision

Dated pricing snapshot

The dated reference snapshot lists $0.2156 input and $0.6468 output per million tokens. Cached input is $0.007 per million tokens.

These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.

Price date

2026-09-06

Input

$0.2156 per 1M tokens

Cached input

$0.007 per 1M tokens

Output

$0.6468 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 6 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints

6

Best p50 latency

0.77 s

Best p50 throughput

152 tok/s

Availability with routing

99.89% over the sampled window

Availability without routing

91.78% over the sampled window

Performance date

2026-09-06

Benchmark evidence and limitations

The 2026-09-06 snapshot includes AutoExacto results for 6 provider observations. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

AutoExacto coverage

6 provider observations over 32 days

AutoExacto provider benchmarks

Rolling provider observations from the cited third-party benchmark view. The lookback is 32 days; GPQA Diamond and TAU-Bench Airline measure different abilities and should not be blended into one score.

Popularity and market context

DeepSeek V4 Flash Vision Exp ranked #37 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Third-party catalog rank

#37

Global market share

Not inferred

Observation date

2026-09-06

Frequently asked questions

Sources and evidence dates

1. DeepSeek V4 Flash Vision Exp third-party catalog record (catalog, checked 2026-09-06)
2. Third-party model catalog methodology (methodology, checked 2026-09-06)
3. DeepSeek official model documentation (primary, checked 2026-09-06)
4. DeepSeek V4 Flash Vision Exp third-party catalog record (benchmark, checked 2026-09-06)