deepseek-chat
An alias for DeepSeek v4 Flash in non-thinking mode.
🔧Tool calling⚡Caching
Specifications
Context window1M tokens
Max output384K tokens
API typechat
AddedJan 30, 2025
Model IDdeepseek/deepseek-chat
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
Input / 1M
$0.14
Output / 1M
$0.28
Cache write / 1M
$0.14
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-chat.
123456789101112131415from 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-chat", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
Other DeepSeek models
Frequently asked questions
How much does deepseek-chat cost?
deepseek-chat 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-chat?
deepseek-chat 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-chat do?
deepseek-chat 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-chat 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-chat". The Quickstart above shows Python, JavaScript and cURL snippets.
Access deepseek-chat through Requesty
One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.