Tencent Hy3 Preview vs Llama 3.1 Swallow 8B Instruct
Tencent Hy3 Preview (2026) and Llama 3.1 Swallow 8B Instruct (2025) are frontier reasoning models from Tencent AI Lab and Tokyo Institute of Technology. Tencent Hy3 Preview ships a 262K-token context window, while Llama 3.1 Swallow 8B Instruct ships a 4K-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 fits 66x more tokens; pick it for long-context work and Llama 3.1 Swallow 8B Instruct for tighter calls.
Decision scorecard
Local evidence first| Signal | Tencent Hy3 Preview | Llama 3.1 Swallow 8B Instruct |
|---|---|---|
| Decision fit | Coding, RAG, and Agents | General |
| Context window | 262K | 4K |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Tencent Hy3 Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Tencent Hy3 Preview uniquely exposes Reasoning, Function calling, and Tool use in local model data.
- Local decision data tags Tencent Hy3 Preview for Coding, RAG, and Agents.
- Use Llama 3.1 Swallow 8B Instruct when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Tencent Hy3 Preview
Unavailable
No complete token price in local provider data
Llama 3.1 Swallow 8B Instruct
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Tencent Hy3 Preview and Llama 3.1 Swallow 8B Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
- No overlapping tracked provider route is sourced for Llama 3.1 Swallow 8B Instruct and Tencent Hy3 Preview; plan for SDK, billing, or endpoint changes.
- Tencent Hy3 Preview adds Reasoning, Function calling, and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-22 | 2025-01-01 |
| Context window | 262K | 4K |
| Parameters | 295B | 8B |
| Architecture | dense moe hybrid | decoder only |
| License | Proprietary | 1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Tencent Hy3 Preview | Llama 3.1 Swallow 8B Instruct |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Tencent Hy3 Preview | Llama 3.1 Swallow 8B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | No |
| Code execution | No | No |
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: Tencent Hy3 Preview has no token price sourced yet and Llama 3.1 Swallow 8B Instruct has no token price sourced yet. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Tencent Hy3 Preview when reasoning depth and larger context windows are central to the workload. Choose Llama 3.1 Swallow 8B Instruct when provider fit 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
Which has a larger context window, Tencent Hy3 Preview or Llama 3.1 Swallow 8B Instruct?
Tencent Hy3 Preview supports 262K tokens, while Llama 3.1 Swallow 8B Instruct supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Tencent Hy3 Preview or Llama 3.1 Swallow 8B Instruct open source?
Tencent Hy3 Preview is listed under Proprietary. Llama 3.1 Swallow 8B Instruct is listed under 1. 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, Tencent Hy3 Preview or Llama 3.1 Swallow 8B Instruct?
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, Tencent Hy3 Preview or Llama 3.1 Swallow 8B Instruct?
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, Tencent Hy3 Preview or Llama 3.1 Swallow 8B Instruct?
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 Tencent Hy3 Preview and Llama 3.1 Swallow 8B Instruct?
Tencent Hy3 Preview is available on OpenRouter. Llama 3.1 Swallow 8B Instruct is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.