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deepseek-chat

DeepSeek/🇨🇳 China/chat

An alias for DeepSeek v4 Flash in non-thinking mode.

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Which id to call

deepseek/deepseek-chat

This exact deployment on DeepSeek, with no routing and no failover. Send it as the model field.

Input /1M

$0.14

$0.03 cached

Output /1M

$0.28

2.0x input

Context

1M

384K output

Paid /1M

$0.12

measured, cache included

Capabilities 3/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

Provider rates

What deepseek-chat costs

Provider prices per 1M tokens, updated September 12, 2026.more

These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.

Input /1M

$0.14

Output /1M

$0.28

Cache write /1M

-

Cache read /1M

$0.03

What a workload costs

100K input + 10K output
$0.0168
1M input + 100K output
$0.17
10M input + 1M output
$1.68

At the rates above, before caching. A cache read costs $0.03 per 1M, so repeated context lands under these figures.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to deepseek/deepseek-chat. Existing OpenAI SDK code needs no other edit.

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

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

Live from production

DeepSeek on deepseek-chat, measured

What this provider was measured doing on deepseek-chat across Requesty traffic.more

Whole-window figures, because that is the grain published per provider. They cover DeepSeek serving this model in every region it serves it from, so a region-pinned deployment shares them with its siblings. A figure is absent where no qualifying sample exists.

First token

487ms

median

p95 wait

1.29s

slowest 5%

Output speed

77/s

median tokens

Paid /1M

$0.12

blended, cache included

Cache hit

34.4%

of input tokens

Reference

Specs and data terms

What the catalog reports for this deployment, and what the provider does with the traffic.

Context window1M tokens
Max output384K tokens
API typechat
AddedDec 2024
Model id
Data retentionYes
Used for trainingNo
Served from🇨🇳 China
Privacy policyDeepSeek Privacy Policy →

Public leaderboards

Benchmark scores

Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.

No benchmarks are published for this exact variant yet.

Region-specific deployments and highspeed tiers usually share scores with their base model. Try the base model page or the DeepSeek models overview.

Same provider

More from DeepSeek

Newest first, on the same provider and the same key.

deepseek-v4.1-flash

1M ctx/$0.30/1M

deepseek-v4-pro-0813

1M ctx/$1.32/1M

deepseek-reasoner

1M ctx/$0.14/1M

Reference

deepseek-chat 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. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

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, extended reasoning, 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.

Can I run deepseek-chat through Requesty?

Yes. deepseek-chat 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-chat", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Call deepseek-chat through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.

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