deepseek-v3
DeepSeek/Open weights/2 providers
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.MoreLess
Which id to call
deepinfra/deepseek-ai/DeepSeek-V3:flexThis model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.
From /1M input
$0.26
DeepInfra Inc.
Context
128K
8K output
Endpoints
3
1 region
Price spread
3.5x
3 endpoints
Capabilities 2/8
3 endpoints / 1 region
Providers serving deepseek-v3
Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.
| Rank | Privacy | ||||||
|---|---|---|---|---|---|---|---|
| 1 |  DeepInfra Inc. | Global | 128K | $0.26 | $0.71 | - | zdr |
| 2 | DeepInfra Inc. | Global | 128K | $0.85 | $0.90 | $0.85 | zdr |
| 3 |  Novita AI | Global | 64K | $0.89 | $0.89 | $0.89 | zdr |
A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.
model=
Which id to call
One base url, https://router.requesty.ai/v1, and one key for every id here.
deepinfra/deepseek-ai/DeepSeek-V3:flexThis model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.
OpenAI compatible
Call it in three lines
Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.
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="deepinfra/deepseek-ai/DeepSeek-V3:flex", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
Artificial Analysis
Benchmark scores
Artificial Analysis Coding Index: a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.
Graduate-level physics, chemistry & biology questions designed to resist Googling.
Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.
Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.
6
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deepseek-v4-flash-0731
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deepseek-v4-pro-0424
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deepseek-v4-flash-0424
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Reference
deepseek-v3 questions
Which providers serve deepseek-v3?
deepseek-v3 is available from 2 providers through Requesty: DeepInfra Inc., Novita AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does deepseek-v3 cost?
Pricing starts at $0.26 per million input tokens and $0.71 per million output tokens on DeepInfra Inc., the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.
Is deepseek-v3 open weights?
Yes. deepseek-v3 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-v3?
deepseek-v3 supports up to 128K tokens of context, with up to 8K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.
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 "deepinfra/deepseek-ai/DeepSeek-V3:flex" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Route deepseek-v3 through one endpoint
One key for 2 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.