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deepseek_v3

DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations reveal that the model outperforms other open-source models and rivals leading closed-source models.

🔧Tool calling
Try deepseek_v3CompareDocs

Specifications

Context window64K tokens
Max output—
API typechat
AddedMay 30, 2025
Model IDnovita/deepseek/deepseek_v3
Data retentionYes
Used for trainingUnknown
Provider location🇺🇸 US
Privacy policyNovita AI 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 Novita AI models overview.

Pricing

Input / 1M
$0.89
Output / 1M
$0.89
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0979
1M input + 100K output$0.98
10M input + 1M output$9.79

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 novita/deepseek/deepseek_v3.

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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="novita/deepseek/deepseek_v3",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other Novita AI models

GLM-5
203K ctx$1.00/1M
minimax/minimax-m2.7
200K ctx$0.30/1M
deepseek-v3.2
164K ctx$0.27/1M
qwen/qwen3.5-397b-a17b
262K ctx$0.60/1M
zai-org/glm-4.5
131K ctx$0.60/1M
zai-org/glm-4.6
205K ctx$0.60/1M

Frequently asked questions

How much does deepseek_v3 cost?
deepseek_v3 is priced at $0.89 per million input tokens and $0.89 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of deepseek_v3?
deepseek_v3 has a context window of 64K tokens. That's roughly 85 words of input you can fit in a single prompt.
What can deepseek_v3 do?
deepseek_v3 supports tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use deepseek_v3 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 "novita/deepseek/deepseek_v3". The Quickstart above shows Python, JavaScript and cURL snippets.

Access deepseek_v3 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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