DeepSeek V3.1 vs Hunyuan Turbo S
DeepSeek V3.1 (2025) and Hunyuan Turbo S (2026) are general-purpose language models from DeepSeek and Tencent AI Lab. DeepSeek V3.1 ships a 128K-token context window, while 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. It focuses on practical selection signals rather than broad model-family marketing.
Hunyuan Turbo S is safer overall; choose DeepSeek V3.1 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | DeepSeek V3.1 | Hunyuan Turbo S |
|---|---|---|
| Best for | provider-routed production | general production evaluation |
| Decision fit | Coding, RAG, and Agents | Long context |
| Context window | 128K | 200K |
| Cheapest output | $1/1M tokens | - |
| Provider routes | 10 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- DeepSeek V3.1 has broader tracked provider coverage for fallback and route flexibility.
- DeepSeek V3.1 uniquely exposes Structured outputs and Code execution in local model data.
- Local decision data tags DeepSeek V3.1 for Coding, RAG, and Agents.
- Hunyuan Turbo S has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags 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.
DeepSeek V3.1
$466
Cheapest tracked route/tier: Novita AI
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 DeepSeek V3.1 and Hunyuan Turbo S; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs and Code execution before moving production traffic.
- No overlapping tracked provider route is sourced for Hunyuan Turbo S and DeepSeek V3.1; plan for SDK, billing, or endpoint changes.
- DeepSeek V3.1 adds Structured outputs and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-08-21 | 2026-01-10 |
| Context window | 128K | 200K |
| Parameters | 671B total, 37B active (MoE) | — |
| Architecture | Mixture of Experts | - |
| License | MITOSI-approved | Tencent Hunyuan Community License |
| Openness | Open source | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Permitted | Restricted |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | DeepSeek V3.1 | Hunyuan Turbo S |
|---|---|---|
| Input price | $0.27/1M tokens | - |
| Output price | $1/1M tokens | - |
| Providers | - |
Capabilities
| Capability | DeepSeek V3.1 | Hunyuan Turbo S |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on structured outputs: DeepSeek V3.1 and code execution: DeepSeek V3.1. 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: DeepSeek V3.1 has $0.27/1M input tokens and Hunyuan Turbo S has no token price sourced yet. Provider availability is 10 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose DeepSeek V3.1 when coding workflow support and broader provider choice are central to the workload. Choose 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, DeepSeek V3.1 or Hunyuan Turbo S?
Hunyuan Turbo S supports 200K tokens, while DeepSeek V3.1 supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is DeepSeek V3.1 or Hunyuan Turbo S open source?
DeepSeek V3.1 is listed under MIT. 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 structured outputs, DeepSeek V3.1 or Hunyuan Turbo S?
DeepSeek V3.1 has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for code execution, DeepSeek V3.1 or Hunyuan Turbo S?
DeepSeek V3.1 has the clearer documented code execution signal in this comparison. If code execution is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek V3.1 and Hunyuan Turbo S?
DeepSeek V3.1 is available on Microsoft Foundry, Fireworks AI, OpenRouter, NVIDIA NIM, and Together AI. Hunyuan Turbo S is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick DeepSeek V3.1 over Hunyuan Turbo S?
Hunyuan Turbo S is safer overall; choose DeepSeek V3.1 when coding workflow support matters. If your workload also depends on coding workflow support, start with DeepSeek V3.1; if it depends on long-context analysis, run the same evaluation with Hunyuan Turbo S.
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Last reviewed: 2026-10-20. Data sourced from public model cards and provider documentation.