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Aquila 2 34B vs Tencent Hy3 Preview

Aquila 2 34B (2023) and Tencent Hy3 Preview (2026) are frontier reasoning models from Beijing Academy of Artificial Intelligence (BAAI) and Tencent AI Lab. Aquila 2 34B ships a not-yet-sourced 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.

Tencent Hy3 Preview is safer overall; choose Aquila 2 34B when provider fit matters.

Specs

Specification
Released2023-11-022026-04-22
Context window262K
Parameters34B295B
Architecturedecoder onlydense moe hybrid
LicenseUnknownProprietary
Knowledge cutoff--

Pricing and availability

Pricing attributeAquila 2 34BTencent Hy3 Preview
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityAquila 2 34BTencent Hy3 Preview
VisionNoNo
MultimodalNoNo
ReasoningNoYes
Function callingNoYes
Tool useNoYes
Structured outputsNoNo
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: Tencent Hy3 Preview, function calling: Tencent Hy3 Preview, and tool use: Tencent Hy3 Preview. Both models share the core language-model surface, 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: Aquila 2 34B has no token price sourced yet and Tencent Hy3 Preview has no token price sourced yet. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Aquila 2 34B when provider fit are central to the workload. Choose Tencent Hy3 Preview when reasoning depth and broader provider choice 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.

FAQ

Is Aquila 2 34B or Tencent Hy3 Preview open source?

Aquila 2 34B is listed under Unknown. 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, Aquila 2 34B 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, Aquila 2 34B or Tencent Hy3 Preview?

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

Which is better for tool use, Aquila 2 34B or Tencent Hy3 Preview?

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

Where can I run Aquila 2 34B and Tencent Hy3 Preview?

Aquila 2 34B is available on the tracked providers still being sourced. Tencent Hy3 Preview is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Aquila 2 34B over Tencent Hy3 Preview?

Tencent Hy3 Preview is safer overall; choose Aquila 2 34B when provider fit matters. If your workload also depends on provider fit, start with Aquila 2 34B; if it depends on reasoning depth, run the same evaluation with Tencent Hy3 Preview.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.