Marin 32B Base vs Swallow 30B
Marin 32B Base (2025) and Swallow 30B (2025) are compact production models from Marin and Tokyo Institute of Technology. Marin 32B Base ships a 4K-token context window, while Swallow 30B ships a 16K-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. The goal is to make the tradeoff clear before deeper testing.
Swallow 30B fits 4x more tokens; pick it for long-context work and Marin 32B Base for tighter calls.
Decision scorecard
Local evidence first| Signal | Marin 32B Base | Swallow 30B |
|---|---|---|
| Decision fit | General | General |
| Context window | 4K | 16K |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Use Marin 32B Base when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Swallow 30B has the larger context window for long prompts, retrieval packs, or transcript analysis.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Marin 32B Base
Unavailable
No complete token price in local provider data
Swallow 30B
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 Marin 32B Base and Swallow 30B; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Swallow 30B and Marin 32B Base; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-25 | 2025-02-14 |
| Context window | 4K | 16K |
| Parameters | 32.5B | 30B |
| Architecture | decoder only | - |
| License | Apache 2.0 | Open Source |
| Knowledge cutoff | 2024-07 | 2023 |
Pricing and availability
| Pricing attribute | Marin 32B Base | Swallow 30B |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Marin 32B Base | Swallow 30B |
|---|---|---|
| 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 |
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: Marin 32B Base has no token price sourced yet and Swallow 30B 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 Marin 32B Base when provider fit are central to the workload. Choose Swallow 30B 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, Marin 32B Base or Swallow 30B?
Swallow 30B supports 16K tokens, while Marin 32B Base supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Marin 32B Base or Swallow 30B open source?
Marin 32B Base is listed under Apache 2.0. Swallow 30B is listed under Open Source. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
When should I pick Marin 32B Base over Swallow 30B?
Swallow 30B fits 4x more tokens; pick it for long-context work and Marin 32B Base for tighter calls. If your workload also depends on provider fit, start with Marin 32B Base; if it depends on long-context analysis, run the same evaluation with Swallow 30B.
What is the main difference between Marin 32B Base and Swallow 30B?
Marin 32B Base and Swallow 30B differ most on context, provider coverage, capabilities, or pricing depending on the data currently sourced. Use the specs table first, then validate the model behavior with your own prompts.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.