Gemma 3n 2B (free) vs Swallow 13B Instruct
Gemma 3n 2B (free) (2025) and Swallow 13B Instruct (2024) are compact production models from Google DeepMind and Tokyo Institute of Technology. Gemma 3n 2B (free) ships a 8k-token context window, while Swallow 13B Instruct ships a 8k-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.
Gemma 3n 2B (free) is safer overall; choose Swallow 13B Instruct when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | Gemma 3n 2B (free) | Swallow 13B Instruct |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | General | General |
| Context window | 8k | 8k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Gemma 3n 2B (free) has broader tracked provider coverage for fallback and procurement flexibility.
- Swallow 13B Instruct 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 route or tier on this page.
Gemma 3n 2B (free)
Unavailable
No complete token price in local provider data
Swallow 13B Instruct
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 Gemma 3n 2B (free) and Swallow 13B Instruct; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Swallow 13B Instruct and Gemma 3n 2B (free); plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-03 | 2024-12-10 |
| Context window | 8k | 8k |
| Parameters | 5B (2B effective active) | 13B |
| Architecture | Decoder Only | - |
| License | Gemma | Llama 2 Community |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2024-06 | 2023 |
Pricing and availability
| Pricing attribute | Gemma 3n 2B (free) | Swallow 13B Instruct |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Gemma 3n 2B (free) | Swallow 13B Instruct |
|---|---|---|
| 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 scores are currently available 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: Gemma 3n 2B (free) has no token price sourced yet and Swallow 13B Instruct 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 Gemma 3n 2B (free) when provider fit and broader provider choice are central to the workload. Choose Swallow 13B Instruct 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, Gemma 3n 2B (free) or Swallow 13B Instruct?
Swallow 13B Instruct supports 8k tokens, while Gemma 3n 2B (free) supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Gemma 3n 2B (free) or Swallow 13B Instruct open source?
Gemma 3n 2B (free) is listed under Gemma. Swallow 13B Instruct is listed under Llama 2 Community. 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 Gemma 3n 2B (free) and Swallow 13B Instruct?
Gemma 3n 2B (free) is available on NVIDIA NIM. Swallow 13B Instruct 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 Gemma 3n 2B (free) over Swallow 13B Instruct?
Gemma 3n 2B (free) is safer overall; choose Swallow 13B Instruct when long-context analysis matters. If your workload also depends on provider fit, start with Gemma 3n 2B (free); if it depends on long-context analysis, run the same evaluation with Swallow 13B Instruct.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.