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deepseek-v4-flash

DeepSeek v4 Flash - 284B total / 13B active params. Your fast, efficient, and economical choice.

Tool callingCaching
Try deepseek-v4-flashCompareDocs

Specifications

Context window1M tokens
Max output384K tokens
API typechat
AddedApr 24, 2026
Model IDdeepseek/deepseek-v4-flash
Data retentionYes
Used for trainingUnknown
Provider location🇨🇳 China
Privacy policyDeepSeek Privacy Policy→

Benchmarks

Released 2026-04-24
Coding Indexcoding
38.7%

Artificial Analysis Coding Index — a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
89.4%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
46.5%

Artificial Analysis Intelligence Index — a composite of multiple evaluations measuring overall model capability.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality — always test on your own workload.

Pricing

Input / 1M
$0.14
Output / 1M
$0.28
Cache write
—
Cache read / 1M
$0.0028
Estimated cost
100K input + 10K output$0.0168
1M input + 100K output$0.17
10M input + 1M output$1.68

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to deepseek/deepseek-v4-flash.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v4-flash",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other DeepSeek models

deepseek-v4-pro
1M ctx$0.43/1M
Coding 48
deepseek-reasoner
1M ctx$0.14/1M
deepseek-chat
1M ctx$0.14/1M

Frequently asked questions

How much does deepseek-v4-flash cost?
deepseek-v4-flash is priced at $0.14 per million input tokens and $0.28 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of deepseek-v4-flash?
deepseek-v4-flash has a context window of 1M tokens, with a maximum output of 384K tokens per response. That's roughly 1,333 words of input you can fit in a single prompt.
How does deepseek-v4-flash perform on benchmarks?
deepseek-v4-flash scores 95.0% on τ²-Bench, 89.4% on GPQA Diamond, 46.5% on Intelligence Index. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can deepseek-v4-flash do?
deepseek-v4-flash supports tool calling, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use deepseek-v4-flash with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "deepseek/deepseek-v4-flash". The Quickstart above shows Python, JavaScript and cURL snippets.

Access deepseek-v4-flash through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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