tencent/hy3Novita AI
- api
- chat
- hosting
- US
- model lab
- Tencent
- weights
- open
- added
- July 2026
- model id
- novita/tencent/hy3
capabilities 4/8
- input
- $0.14
- output
- $0.58
- cache write
- -
- cache read
- $0.04
worked cost
| volume | cost |
|---|---|
| 100K in + 10K out | $0.0198 |
| 1M in + 100K out | $0.20 |
| 10M in + 1M out | $1.98 |
Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing
no measured traffic for this endpoint yet. pricing above is the provider's own
| eval | Score as a share of 100 | /100 |
|---|---|---|
| GPQA Diamond | 89.7 | |
| Coding Index | 58.8 | |
| SciCode | 48.6 | |
| Humanity's Last Exam | 33.5 | |
| Intelligence Index | 25.8 | |
| 5 evals | mean | 51.3 |
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 2026-07-06.
- retention
- none
- trains on prompts
- no
- hosted in
- US
Terms are the provider's, not Requesty's: routing a request here puts it under them. Novita AI Privacy Policy
Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.
novita/tencent/hy3this id pins the novita ai deployment, with no routing and no failover. the managed id on the canonical page routes across all 1 providers instead
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/tencent/hy3", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models
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
How much does tencent/hy3 cost?
What is the context window of tencent/hy3?
How does tencent/hy3 perform on benchmarks?
What can tencent/hy3 do?
How do I use tencent/hy3 with the OpenAI SDK?
Can I run tencent/hy3 through Requesty?
more from novita ai 8
| endpoint | ctx | in /M |
|---|---|---|
| deepseek-v4.1-flash | 1.0M | $0.30 |
| glm-5.3-flash | 1.0M | $0.15 |
| inclusionai/ling-3.0-tiny | 262K | free |
| qwen/qwen3.8-max | 1M | $2.00 |
| deepseek-v4-flash-0731 | 1.0M | $0.14 |
| stepfun/step-3.7-flash | 262K | $0.20 |
| inclusionai/ring-2.6-1t | 262K | $0.30 |
| deepseek-v4-flash-0424 | 1.0M | $0.14 |
call tencent/hy3 through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology
