How much does Hunyuan Hy3 cost?

Hunyuan Hy3 is published as open weights (Apache 2.0) — there is no per-token API price. You self-host the model and pay infrastructure cost (GPU rental and operating overhead). Effective cost on commodity 24-48GB GPUs typically lands at $0.10-$0.50 per million output tokens.

What is the context window of Hunyuan Hy3?

Hunyuan Hy3 supports a context window of 256K tokens (256,000 tokens) and can generate up to 16K output tokens per request.

What is Hunyuan Hy3 best for?

Hunyuan Hy3 is best for: Long-context retrieval & agentic search, no license restrictions. It supports chat, function_calling, code, reasoning capabilities. It is open-source under the Apache 2.0 license.

Hunyuan Hy3

Tencentopen-sourceOpen Source

Tencent's 6 Jul 2026 full release (previewed 23 Apr 2026), a 295B-total / 21B-active MoE plus a separate 3.8B multi-token-prediction layer, under Apache 2.0 with no field-of-use or geographic restrictions. 256K native context. Tencent concedes the agentic-coding crown to GLM-5.2 — SWE-bench Pro rose from 46.0 at preview to 57.9 at release, still behind GLM — but claims leads in agentic search, tool use, and long-context retrieval at under half GLM-5.2's memory footprint. First Tencent entry in this catalog; Hunyuan's flagship chat line (outside this Hy3 open release) remains closed-weight/API-only. No independent Arena placement yet as of 17 Aug 2026.

Context Window

256K

tokens

Max Output

16K

tokens

Input Price

Self-host

open weights

Output Price

Self-host

infra cost only

Speed

—

tokens/sec

Released

Jul 2026

2026-07-06

Blended Cost

—

self-host

Value Score

—

n/a self-host

Capabilities

ChatFunction CallingCode GenerationReasoning

Benchmarks

Quality Index

Price vs Quality

Context Window in Context

Amazon Nova Pro300K
Qwen3.8 27B262K
▸ Hunyuan Hy3256K
Codestral256K
Nemotron 3 Nano Omni256K
Qwen 3.6 Plus256K
Kimi K2.6256K
Ling-3.0-Flash256K

Bar length is logarithmic — each full step is 10× the tokens. Shown against the models with the nearest context windows, not the directory extremes.

Try in Playground Use via Swfte Connect Tencent Docs

Compare With

Open Source: Licensed under Apache 2.0

尚未接入我们的网关

Hunyuan Hy3 是开放权重模型，你可以自行部署。Swfte Connect 会把你的部署变成一个托管端点，使用与本目录中其他模型相同的 API。

请求

curl https://api.swfte.com/agents/v2/gateway/chat/completions \
  -H "Authorization: Bearer $SWFTE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "tencent:hunyuan-hy3",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

使用 Swfte Connect 部署此模型

About Hunyuan Hy3

Hunyuan Hy3 is a open-source AI model by Tencent, released on July 6, 2026. It supports a context window of 256K tokens and can generate up to 16K output tokens.

Hunyuan Hy3 is published as open weights (Apache 2.0) for self-hosting. There is no per-token API price. Cost depends on your inference infrastructure: GPU rental, throughput per GPU, and operating overhead. For commodity 24-48GB GPUs the effective cost typically lands in the $0.10-$0.50 per million output tokens range, well below the cheapest hosted alternatives.

Hunyuan Hy3 is available as an open-source model under the Apache 2.0 license, meaning you can self-host it for predictable costs or use it through API providers like Swfte Connect.

Using Hunyuan Hy3 with Swfte

Access Hunyuan Hy3 through Swfte Connect, our unified LLM gateway. Connect gives you a single API for 50+ models, with automatic routing, cost optimization, and fallback handling. You can also try Hunyuan Hy3 in our AI Playground before integrating.