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deepseek-reasoner

An alias for DeepSeek v4 Flash in thinking mode.

Tool callingCaching
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Specifications

Context window1M tokens
Max output384K tokens
API typechat
AddedJan 30, 2025
Model ID
Data retentionYes
Used for trainingUnknown
Provider location🇨🇳 China
Privacy policyDeepSeek Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model. Check the base model page or the DeepSeek models overview.

Pricing

Prices updated July 29, 2026
Input / 1M
$0.14
Output / 1M
$0.28
Cache write
N/A
Cache read / 1M
$0.03
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-reasoner.

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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-reasoner",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other DeepSeek models

deepseek-v4-flash
1M ctx$0.14/1M
Coding 56
deepseek-v4-pro
1M ctx$0.43/1M
Coding 59
deepseek-chat
1M ctx$0.14/1M

Frequently asked questions

How much does deepseek-reasoner cost?
deepseek-reasoner 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-reasoner?
deepseek-reasoner 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.
What can deepseek-reasoner do?
deepseek-reasoner 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-reasoner 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-reasoner". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run deepseek-reasoner through Requesty?
Yes. deepseek-reasoner runs through Requesty's OpenAI-compatible API, served from DeepSeek. You do not host the model yourself: point base_url at Requesty, set the model to "deepseek/deepseek-reasoner", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Access deepseek-reasoner through Requesty

One API key, 600+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

All DeepSeek models