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Deployment Brief

Hy3

Hy3 is a cost-efficient model with long context support, suited to agent workflows and advanced reasoning for enterprise teams.

Try Hy3 with your team

Last reviewed: 2026-09-02

Hy3

Tencent

Stable
Context Window
262,144
Input / 1M
$0.20
Output / 1M
$0.79

What can you do with Hy3?

Practical ways teams can use Hy3 inside governed AI workflows.

01

Summarize long documents with Hy3

Condense contracts, policies, technical specs, RFPs, and research reports into decision-ready summaries with Hy3.

02

Support finance planning with Hy3

Draft budget narratives, explain spend drivers, create forecast assumptions, and summarize vendor costs with Hy3.

03

Prepare legal and compliance reviews with Hy3

Extract obligations, flag risky clauses, compare policy language, and prepare review checklists with Hy3.

04

Create presentations with Hy3

Turn notes, research, and meeting outcomes into structured slide outlines, speaker notes, and executive narratives with Hy3.

05

Code and debug with Hy3

Draft features, explain unfamiliar code, generate tests, review pull requests, and reason through implementation tradeoffs with Hy3.

06

Analyze spreadsheets with Hy3

Interpret CSV exports, explain variance, generate formulas, and identify operational or financial patterns with Hy3.

07

Draft customer communications with Hy3

Create support replies, sales follow-ups, onboarding emails, renewal messages, and account updates with Hy3.

08

Build workflow automations with Hy3

Plan agent steps, transform data between tools, create structured outputs, and support repeatable operations with Hy3.

09

Research competitors and markets with Hy3

Synthesize market signals, positioning, pricing context, customer segments, and competitive risks with Hy3.

10

Create knowledge-base answers with Hy3

Answer employee questions from internal policies, product docs, training material, and operating procedures with Hy3.

11

Improve security reviews with Hy3

Classify risk, draft incident summaries, review access patterns, and create remediation action lists with Hy3.

12

Generate product and marketing copy with Hy3

Create landing-page drafts, positioning variants, launch messaging, ad concepts, and campaign briefs with Hy3.

Why this model

Hy3 is available in Remova as a long context option with $0.20 per 1M tokens input pricing, $0.79 per 1M tokens output pricing, and text input to text output support.

  • Hy3 offers long context capacity for enterprise prompts and documents.
  • Current Remova pricing band is cost-efficient: $0.20 per 1M tokens input and $0.79 per 1M tokens output.
  • Best-fit workloads include: Agent workflows, Advanced reasoning.
  • Route requests by policy tier so teams do not overuse capability.

At a glance

Model ID
tencent/hy3
Context Window
262,144 tokens
Modality
Text input to text output
Input Modalities
Text
Output Modalities
Text
Input Price
$0.20 per 1M tokens
Output Price
$0.79 per 1M tokens
Provider
Tencent
Listing Date
2026-07-06

Strengths

  • Hy3 is suited for agent workflows.
  • Supports long context for multi-step prompts and larger working sets.
  • Pricing profile is cost-efficient, enabling predictable workload routing decisions.
  • Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

  • Without workload routing, teams may overuse this model for requests that fit lower-cost tiers.
  • Long-context prompts can increase spend and latency if prompts are not scoped carefully.
  • Low-cost tiers can still underperform on high-consequence decisions without escalation paths.
  • Text-only modality can limit workflows that rely on image, audio, or document interpretation.

Best for

  • Hy3 for tool-driven automation with governance checkpoints.
  • Hy3 for complex analysis and long-form decision support.
  • Hy3 for repeatable team workflows that need budget and access governance.
  • Hy3 for productivity use cases that still need review and escalation paths.

Rollout checklist

  • Define where Hy3 is default vs. fallback in your routing policy.
  • Enable role-based access and policy checks before opening access broadly.
  • Set spend guardrails by team and monitor weekly token consumption.
  • Define escalation rules to premium models before launch.
  • Re-run quality and cost benchmarks monthly as newer releases appear.

Related models

Explore adjacent model profiles for routing and benchmarking decisions.

Free Resource

Where Should Your Team Start with AI?

Tell us your industry and team size. We'll tell you which AI use cases will save the most time with the least setup.

You get

A shortlist of AI use cases ranked by impact and effort for your situation.

Tuning notes

frequency_penalty

Tune repetition control for long responses in multi-step workflows.

include_reasoning

Enable only where reasoning traces add operational value or review quality.

logit_bias

Use this parameter only with tested defaults in production workflows.

max_completion_tokens

Use this parameter only with tested defaults in production workflows.

Free Assessment

What Could Go Wrong?

5 questions about how your company uses AI today. We'll show you the risks most companies miss until it's too late.

You get

A risk breakdown with the 3 things you should fix first.

Book demo
Knowledge Hub

Hy3 FAQs

Choose Hy3 when the workload aligns with agent workflows, advanced reasoning and quality targets justify its pricing profile.
It depends on workload mix. Most organizations use routing policies so routine traffic stays on lower-cost tiers.
Validate quality on real internal prompts, token efficiency, latency, and policy compliance behavior.

Deploy This Model With Governance

Use policy controls, role-based access, and budget guardrails before enabling advanced model tiers at scale.

Try Hy3 with your team