Phi-4 Mini Reasoning vs Tencent Hunyuan Turbo S
Phi-4 Mini Reasoning (2026) and Tencent Hunyuan Turbo S (2026) are frontier reasoning models from Microsoft Research and Tencent AI Lab. Phi-4 Mini Reasoning ships a 128k-token context window, while Tencent Hunyuan Turbo S ships a 200k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Phi-4 Mini Reasoning is safer overall; choose Tencent Hunyuan Turbo S when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | Phi-4 Mini Reasoning | Tencent Hunyuan Turbo S |
|---|---|---|
| Best for | reasoning-heavy apps | general production evaluation |
| Decision fit | Long context | Long context |
| Context window | 128k | 200k |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Phi-4 Mini Reasoning uniquely exposes Reasoning in local model data.
- Local decision data tags Phi-4 Mini Reasoning for Long context.
- Tencent Hunyuan Turbo S has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Tencent Hunyuan Turbo S for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Phi-4 Mini Reasoning
Unavailable
No complete token price in local provider data
Tencent Hunyuan Turbo S
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 Phi-4 Mini Reasoning and Tencent Hunyuan Turbo S; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
- No overlapping tracked provider route is sourced for Tencent Hunyuan Turbo S and Phi-4 Mini Reasoning; plan for SDK, billing, or endpoint changes.
- Phi-4 Mini Reasoning adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-05-16 | 2026-01-10 |
| Context window | 128k | 200k |
| Parameters | 3.8B | — |
| Architecture | - | - |
| License | MIT(OSI) | Tencent Hunyuan Community License |
| Openness | Open source | Open weights |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | 2025-02 | - |
Pricing and availability
| Pricing attribute | Phi-4 Mini Reasoning | Tencent Hunyuan Turbo S |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Phi-4 Mini Reasoning | Tencent Hunyuan Turbo S |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: Phi-4 Mini Reasoning. 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: Phi-4 Mini Reasoning has no token price sourced yet and Tencent Hunyuan Turbo S has no token price sourced yet. Provider availability is 0 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Phi-4 Mini Reasoning when reasoning depth are central to the workload. Choose Tencent Hunyuan Turbo S when long-context analysis 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, Phi-4 Mini Reasoning or Tencent Hunyuan Turbo S?
Tencent Hunyuan Turbo S supports 200k tokens, while Phi-4 Mini Reasoning supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Phi-4 Mini Reasoning or Tencent Hunyuan Turbo S open source?
Phi-4 Mini Reasoning is listed under MIT. Tencent Hunyuan Turbo S is listed under Tencent Hunyuan Community License. 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, Phi-4 Mini Reasoning or Tencent Hunyuan Turbo S?
Phi-4 Mini Reasoning 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.
When should I pick Phi-4 Mini Reasoning over Tencent Hunyuan Turbo S?
Phi-4 Mini Reasoning is safer overall; choose Tencent Hunyuan Turbo S when long-context analysis matters. If your workload also depends on reasoning depth, start with Phi-4 Mini Reasoning; if it depends on long-context analysis, run the same evaluation with Tencent Hunyuan Turbo S.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.