identity

open weights

deepseek-r1-turboDeepSeek

Name: deepseek-r1-turbo
Brand: DeepSeek
SKU: deepseek/deepseek-r1-turbo
Price: 0.7000 USD
Availability: InStock

from /1M in$0.70novita ai

context64Ktokens

providers11 region

endpoints11 region

endpoints: 1
regions: 1
api: chat
released: January 2025

capabilities 1/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

endpoints

1 / 1 region

Providers serving deepseek-r1-turbo, with pricing and measured performance. Best value in each column is coloured.
#							flags
1	Novita AI	Global	64K	$0.70	$2.50	$0.70	zdr

provider price, no markupper 1M tokensblank where no qualifying sample

measured

through Sep 12

no measured traffic for this model yet. the endpoints table above carries provider pricing

benchmarks

artificial analysis

Benchmark scores, each normalised to 100
eval	Score as a share of 100	/100
MMLU Pro		84.9
GPQA Diamond		81.3
LiveCodeBench		77.0
Math Index		76.0
AIME 2025		76.0
τ²-Bench		36.5
Terminal-Bench Hard		15.9
Humanity's Last Exam		15.8
Intelligence Index		13.1
9 evals	mean	52.9

Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2025-05-28.

call it

model=

novita/deepseek/deepseek-r1-turbo

this model has no managed policy yet, so call the provider endpoint directly. every id in the endpoints table works the same way

Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.

quickstart

openai compatible

main.py

1from openai import OpenAI2 3client = OpenAI(4    api_key="YOUR_REQUESTY_API_KEY",5    base_url="https://router.requesty.ai/v1",6)7 8response = client.chat.completions.create(9    model="novita/deepseek/deepseek-r1-turbo",10    messages=[11        {"role": "user", "content": "Explain quantum computing in one paragraph."},12    ],13)14 15print(response.choices[0].message.content)

Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models

notes

reference

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.

questions 5

Which providers serve deepseek-r1-turbo?

deepseek-r1-turbo is available from 1 provider through Requesty: Novita AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does deepseek-r1-turbo cost?

Pricing starts at $0.70 per million input tokens and $2.50 per million output tokens on the cheapest provider. Prices vary by provider and region; the table above shows every endpoint. Requesty charges exactly what the upstream provider charges, with no markup.

Is deepseek-r1-turbo open weights?

Yes. deepseek-r1-turbo is an open-weights model from DeepSeek, which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.

What is the context window of deepseek-r1-turbo?

deepseek-r1-turbo supports up to 64K tokens of context. Some providers expose a smaller window; check the per-endpoint context column above.

How do I use deepseek-r1-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-r1-turbo" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

more from deepseek 6

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deepseek-v4-pro-0813	1.0M	$1.30	4
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deepseek-v4-pro-0424	1.0M	$1.04	4
deepseek-v4-flash-0424	1.0M	$0.07	4

route deepseek-r1-turbo through one endpoint

One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology