LLM ReferenceLLM Reference

DeepSeek V3 vs Tencent Hy3 Preview

DeepSeek V3 (2024) and Tencent Hy3 Preview (2026) are frontier reasoning models from DeepSeek and Tencent AI Lab. DeepSeek V3 ships a 64k-token context window, while Tencent Hy3 Preview ships a 262K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

Tencent Hy3 Preview fits 4x more tokens; pick it for long-context work and DeepSeek V3 for tighter calls.

Specs

Released2024-12-262026-04-22
Context window64k262K
Parameters671B295B
Architecturemixture of expertsdense moe hybrid
LicenseOpen SourceProprietary
Knowledge cutoff2024-04-

Pricing and availability

DeepSeek V3Tencent Hy3 Preview
Input price$0.1/1M tokens-
Output price$0.3/1M tokens-
Providers

Capabilities

DeepSeek V3Tencent Hy3 Preview
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: Tencent Hy3 Preview and structured outputs: DeepSeek V3. Both models share function calling and tool use, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: DeepSeek V3 has $0.1/1M input tokens and Tencent Hy3 Preview has no token price sourced yet. Provider availability is 12 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose DeepSeek V3 when provider fit and broader provider choice are central to the workload. Choose Tencent Hy3 Preview when reasoning depth and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which has a larger context window, DeepSeek V3 or Tencent Hy3 Preview?

Tencent Hy3 Preview supports 262K tokens, while DeepSeek V3 supports 64k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is DeepSeek V3 or Tencent Hy3 Preview open source?

DeepSeek V3 is listed under Open Source. Tencent Hy3 Preview is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for reasoning mode, DeepSeek V3 or Tencent Hy3 Preview?

Tencent Hy3 Preview has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for function calling, DeepSeek V3 or Tencent Hy3 Preview?

Both DeepSeek V3 and Tencent Hy3 Preview expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for tool use, DeepSeek V3 or Tencent Hy3 Preview?

Both DeepSeek V3 and Tencent Hy3 Preview expose tool use. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run DeepSeek V3 and Tencent Hy3 Preview?

DeepSeek V3 is available on DeepInfra, Fireworks AI, DeepSeek Platform, Microsoft Foundry, and OpenRouter. Tencent Hy3 Preview is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-04-27. Data sourced from public model cards and provider documentation.