hy3
Tencent/Open weights/2 providers
Hy3 is built for real world business scenarios with a 295B total, 21B active MoE architecture, native 256K context support, and three reasoning modes. It enhances coding, long form comprehension, multi turn dialogue, and agentic task execution, balancing reliability, efficiency, and cost across high frequency interactions and complex workflows.MoreLess
Which id to call
hy3Requesty routes this id across every provider serving hy3, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.
From /1M input
$0.13
Tencent
Context
262K
262K output
Endpoints
2
1 region
Regions
1
chat
Capabilities 4/8
2 endpoints / 1 region
Providers serving hy3
Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.
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.
hy3Requesty routes this id across every provider serving hy3, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.
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="hy3", 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.
1
More from Tencent
Reference
hy3 questions
Which providers serve hy3?
hy3 is available from 2 providers through Requesty: Tencent, Novita AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does hy3 cost?
Pricing starts at $0.13 per million input tokens and $0.53 per million output tokens on Tencent, 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 hy3 open weights?
Yes. hy3 is an open-weights model from Tencent, 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 hy3?
hy3 supports up to 262K tokens of context, with up to 262K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.
How do I use hy3 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 "hy3" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Should I call hy3 by its managed id or a provider id?
Use the managed id, "hy3". Requesty picks which of the 2 providers serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. Send a provider id like "tencent/hy3" only when you need one specific deployment and want no failover.
Route hy3 through one endpoint
One key for 2 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.