Stockmark 2 100B Instruct vs Tencent Hunyuan Turbo S
Stockmark 2 100B Instruct (2025) and Tencent Hunyuan Turbo S (2026) are compact production models from Stockmark and Tencent AI Lab. Stockmark 2 100B Instruct 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.
Tencent Hunyuan Turbo S is safer overall; choose Stockmark 2 100B Instruct when provider fit matters.
Decision scorecard
Local evidence first| Signal | Stockmark 2 100B Instruct | Tencent Hunyuan Turbo S |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | Long context | Long context |
| Context window | 128k | 200k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Stockmark 2 100B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Stockmark 2 100B Instruct 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.
Stockmark 2 100B Instruct
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 Stockmark 2 100B Instruct 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 Stockmark 2 100B Instruct; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-01 | 2026-01-10 |
| Context window | 128k | 200k |
| Parameters | 100B | — |
| Architecture | decoder only | - |
| License | Open Weights | Tencent Hunyuan Community License |
| Openness | Open weights | Open weights |
| Commercial use | - | Commercial use with conditions |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Stockmark 2 100B Instruct | Tencent Hunyuan Turbo S |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Stockmark 2 100B Instruct | 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: Stockmark 2 100B Instruct has no token price sourced yet and Tencent Hunyuan Turbo S has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Stockmark 2 100B Instruct 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.
FAQ
Which has a larger context window, Stockmark 2 100B Instruct or Tencent Hunyuan Turbo S?
Tencent Hunyuan Turbo S supports 200k tokens, while Stockmark 2 100B Instruct supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Stockmark 2 100B Instruct or Tencent Hunyuan Turbo S open source?
Stockmark 2 100B Instruct is listed under Open Weights. 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 Stockmark 2 100B Instruct and Tencent Hunyuan Turbo S?
Stockmark 2 100B Instruct is available on NVIDIA NIM. 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 Stockmark 2 100B Instruct over Tencent Hunyuan Turbo S?
Tencent Hunyuan Turbo S is safer overall; choose Stockmark 2 100B Instruct when provider fit matters. If your workload also depends on provider fit, start with Stockmark 2 100B Instruct; if it depends on long-context analysis, run the same evaluation with Tencent Hunyuan Turbo S.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.