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open weights
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hy3Tencent

from /1M in$0.13tencent
context262K262K out
providers21 region
endpoints21 region
endpoints
2
regions
1
api
chat
released
July 2026

capabilities 4/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

endpoints

2 / 1 region
Providers serving hy3, with pricing and measured performance. Best value in each column is coloured.
#flags
1TencentGlobal262K$0.13$0.53$0.03no-train
2Novita AIGlobal262K$0.14$0.58$0.04zdr
provider price, no markupper 1M tokensblank where no qualifying sample

measured

through Nov 2

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

benchmarks

artificial analysis

no published benchmark scores for this model

call it

model=
hy3

requesty 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

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

quickstart

openai compatible
main.py
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="hy3",    messages=[        {"role": "user", "content": "Explain quantum computing in one paragraph."},    ],) print(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

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.

questions 6

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 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 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.

more from tencent 1

Other Tencent models
modelcontextfrom /Mproviders
hy4-preview1.0M$0.831

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. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology

hy32 providers2 endpointsfrom $0.13 /1M inctx 262Kupdated Nov 2