Model detail
Hy3
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort: a direct no-think mode by default, plus low and high chain-of-thought modes for complex math, coding, and multi-step problems. With a 256K context window, Hy3 targets long-horizon tasks, including improved coreference resolution, multi-turn constraint tracking, and stable tool-calling that generalizes across agent scaffoldings. Tencent positions it as a reliable, cost-effective option across coding, document processing, financial analysis, game development, and frontend design, with a strong emphasis on grounded, anti-hallucination behavior that answers when grounded and flags when evidence is missing rather than fabricating.
Model specs
- Model ID
-
hy3
- Context length
- 256K
- Max output
- 128K
- I/O modalities
- Released
- 2026-07
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API endpoints
One MixRoute gateway, OpenAI-compatible
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OpenAI-compatible
/v1/chat/completionsPOST
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Pricing
Flat rate, unit: /1M Tokens
Input
$0.1320 /1M Tokens
Completion
$0.5280 /1M Tokens
Cache read
$0.0330 /1M Tokens
05
Selection summary
Quickly judge whether it fits your workload
What is this model good for?
295B-parameter Mixture-of-Experts model from Tencent
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use.
What should you check before using it?
256,000 context, 128,000 output tokens
Tencent model that supports reasoning, tool calling and structured output. Released 2026-07-06.
Why use it through MixRoute?
Swap the base URL, keep the Hy3 client
MixRoute serves Hy3 on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID hy3 and re-run your integration tests.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Tool calling
Hy3 supports function and tool calls.
tools definition; the response returns tool_calls to execute and feed results back.
Structured output
Hy3 can produce JSON-formatted output on demand.
response_format: { type: "json_schema" } forces valid JSON output.
Streaming
Hy3 supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
Prompt caching
Hy3 supports prompt caching under supported routing conditions.
OpenAI SDK
Call Hy3 through MixRoute's OpenAI-compatible endpoint.
base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
Share of the same prefix read repeatedly, up to 100%
09
FAQ
Recorded results for Hy3: aa_intelligence_index 44.4; arena_text 90.7. Benchmark positions are a coarse filter only — run your own prompts against the candidate models before you commit, because ranking shifts with task shape and prompt style.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.