DeepSeek V3 0324 vs Tencent Hunyuan Turbo S
DeepSeek V3 0324 (2025) and Tencent Hunyuan Turbo S (2026) are general-purpose language models from DeepSeek and Tencent AI Lab. DeepSeek V3 0324 ships a 160k-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.
Tencent Hunyuan Turbo S is safer overall; choose DeepSeek V3 0324 when provider fit matters.
Decision scorecard
Local evidence first| Signal | DeepSeek V3 0324 | Tencent Hunyuan Turbo S |
|---|---|---|
| Best for | provider-routed production | general production evaluation |
| Decision fit | Coding, Agents, and Long context | Long context |
| Context window | 160k | 200k |
| Cheapest output | $1.12/1M tokens | - |
| Provider routes | 3 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- DeepSeek V3 0324 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags DeepSeek V3 0324 for Coding, Agents, and 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.
DeepSeek V3 0324
$496
Cheapest tracked route/tier: Novita AI
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 DeepSeek V3 0324 and Tencent Hunyuan Turbo S; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Tencent Hunyuan Turbo S and DeepSeek V3 0324; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-03-24 | 2026-01-10 |
| Context window | 160k | 200k |
| Parameters | 671B | — |
| Architecture | decoder only | - |
| License | MIT(OSI) | Tencent Hunyuan Community License |
| Openness | Open source | Open weights |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | DeepSeek V3 0324 | Tencent Hunyuan Turbo S |
|---|---|---|
| Input price | $0.27/1M tokens | - |
| Output price | $1.12/1M tokens | - |
| Providers | - |
Capabilities
| Capability | DeepSeek V3 0324 | Tencent Hunyuan Turbo S |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | 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 is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
Pricing coverage is uneven: DeepSeek V3 0324 has $0.27/1M input tokens and Tencent Hunyuan Turbo S has no token price sourced yet. Provider availability is 3 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 0324 when provider fit and broader provider choice 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, DeepSeek V3 0324 or Tencent Hunyuan Turbo S?
Tencent Hunyuan Turbo S supports 200k tokens, while DeepSeek V3 0324 supports 160k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is DeepSeek V3 0324 or Tencent Hunyuan Turbo S open source?
DeepSeek V3 0324 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.
Where can I run DeepSeek V3 0324 and Tencent Hunyuan Turbo S?
DeepSeek V3 0324 is available on Fireworks AI, Microsoft Foundry, and Novita AI. Tencent 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 0324 over Tencent Hunyuan Turbo S?
Tencent Hunyuan Turbo S is safer overall; choose DeepSeek V3 0324 when provider fit matters. If your workload also depends on provider fit, start with DeepSeek V3 0324; 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.