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deepseek-v3-turbo

DeepSeek R1 is the latest open-source model released by the DeepSeek team, featuring impressive reasoning capabilities, particularly achieving performance comparable to OpenAI's o1 model in mathematics, coding, and reasoning tasks.

🔧Tool calling
Try deepseek-v3-turboCompareDocs

Specifications

Context window128K tokens
Max output—
API typechat
AddedMay 30, 2025
Model IDnovita/deepseek/deepseek-v3-turbo
Data retentionYes
Used for trainingUnknown
Provider location🇺🇸 US
Privacy policyNovita AI Privacy Policy →

Benchmarks

Released 2024-12
SWE-Bench Verifiedcoding
42.0%

Resolving real GitHub issues from 12 popular Python repositories.

GPQA Diamondreasoning
59.1%

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

MMLU Proknowledge
75.9%

Massive Multitask Language Understanding across 57 academic subjects.

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
$0.40
Output / 1M
$1.30
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0530
1M input + 100K output$0.53
10M input + 1M output$5.30

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-turbo.

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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-turbo",
    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-turbo cost?
deepseek-v3-turbo is priced at $0.40 per million input tokens and $1.30 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-turbo?
deepseek-v3-turbo has a context window of 128K tokens. That's roughly 171 words of input you can fit in a single prompt.
How does deepseek-v3-turbo perform on benchmarks?
deepseek-v3-turbo scores 90.2% on MATH, 82.6% on HumanEval, 75.9% on MMLU Pro. 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-v3-turbo do?
deepseek-v3-turbo supports tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use deepseek-v3-turbo 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-turbo". The Quickstart above shows Python, JavaScript and cURL snippets.

Access deepseek-v3-turbo 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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