Gemma 3n 2B (free) vs GPT-2 Medium
Gemma 3n 2B (free) (2025) and GPT-2 Medium (2019) are compact production models from Google DeepMind and OpenAI. Gemma 3n 2B (free) ships a 8K-token context window, while GPT-2 Medium ships a 1K-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.
Gemma 3n 2B (free) fits 8x more tokens; pick it for long-context work and GPT-2 Medium for tighter calls.
Decision scorecard
Local evidence first| Signal | Gemma 3n 2B (free) | GPT-2 Medium |
|---|---|---|
| Decision fit | General | General |
| Context window | 8K | 1K |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemma 3n 2B (free) has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Use GPT-2 Medium when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Gemma 3n 2B (free)
Unavailable
No complete token price in local provider data
GPT-2 Medium
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 GPT-2 Medium; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for GPT-2 Medium and Gemma 3n 2B (free); plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-03 | 2019-02-14 |
| Context window | 8K | 1K |
| Parameters | — | 355M |
| Architecture | decoder only | decoder only |
| License | Open Source | Unknown |
| Knowledge cutoff | 2024-06 | 2017-12 |
Pricing and availability
| Pricing attribute | Gemma 3n 2B (free) | GPT-2 Medium |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Gemma 3n 2B (free) | GPT-2 Medium |
|---|---|---|
| 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: Gemma 3n 2B (free) has no token price sourced yet and GPT-2 Medium has no token price sourced yet. Provider availability is 1 tracked routes versus 1. 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 long-context analysis and larger context windows are central to the workload. Choose GPT-2 Medium when provider fit 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 GPT-2 Medium?
Gemma 3n 2B (free) supports 8K tokens, while GPT-2 Medium supports 1K 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 GPT-2 Medium open source?
Gemma 3n 2B (free) is listed under Open Source. GPT-2 Medium is listed under Unknown. 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 GPT-2 Medium?
Gemma 3n 2B (free) is available on NVIDIA NIM. GPT-2 Medium is available on Azure OpenAI. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
When should I pick Gemma 3n 2B (free) over GPT-2 Medium?
Gemma 3n 2B (free) fits 8x more tokens; pick it for long-context work and GPT-2 Medium for tighter calls. If your workload also depends on long-context analysis, start with Gemma 3n 2B (free); if it depends on provider fit, run the same evaluation with GPT-2 Medium.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.