Gemma 3n 2B (free) vs Nemotron-Nano-12B-v2-VL
Gemma 3n 2B (free) (2025) and Nemotron-Nano-12B-v2-VL (2025) are compact production models from Google DeepMind and NVIDIA AI. Gemma 3n 2B (free) ships a 8k-token context window, while Nemotron-Nano-12B-v2-VL ships a not-yet-sourced context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Nemotron-Nano-12B-v2-VL is safer overall; choose Gemma 3n 2B (free) when provider fit matters.
Decision scorecard
Local evidence first| Signal | Gemma 3n 2B (free) | Nemotron-Nano-12B-v2-VL |
|---|---|---|
| Best for | general production evaluation | multimodal apps and provider-routed production |
| Decision fit | General | Vision and JSON / Tool use |
| Context window | 8k | — |
| Cheapest output | - | $0.60/1M tokens |
| Provider routes | 1 tracked | 3 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.
- Nemotron-Nano-12B-v2-VL has broader tracked provider coverage for fallback and procurement flexibility.
- Nemotron-Nano-12B-v2-VL uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
- Local decision data tags Nemotron-Nano-12B-v2-VL for Vision and JSON / Tool use.
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
Nemotron-Nano-12B-v2-VL
$310
Cheapest tracked route/tier: OpenRouter
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Nemotron-Nano-12B-v2-VL adds Vision, Multimodal, and Structured outputs in local capability data.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-03 | 2025-10-28 |
| Context window | 8k | — |
| Parameters | 5B (2B effective active) | 12B |
| Architecture | decoder only | decoder only |
| License | Gemma | Llama 3 Community |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | 2024-06 | - |
Pricing and availability
| Pricing attribute | Gemma 3n 2B (free) | Nemotron-Nano-12B-v2-VL |
|---|---|---|
| Input price | - | $0.20/1M tokens |
| Output price | - | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | Gemma 3n 2B (free) | Nemotron-Nano-12B-v2-VL |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| 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 differs most on vision: Nemotron-Nano-12B-v2-VL, multimodal input: Nemotron-Nano-12B-v2-VL, and structured outputs: Nemotron-Nano-12B-v2-VL. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: Gemma 3n 2B (free) has no token price sourced yet and Nemotron-Nano-12B-v2-VL has $0.20/1M input tokens. Provider availability is 1 tracked routes versus 3. 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 are central to the workload. Choose Nemotron-Nano-12B-v2-VL when vision-heavy evaluation and broader provider choice 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
Is Gemma 3n 2B (free) or Nemotron-Nano-12B-v2-VL open source?
Gemma 3n 2B (free) is listed under Gemma. Nemotron-Nano-12B-v2-VL is listed under Llama 3 Community. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Gemma 3n 2B (free) or Nemotron-Nano-12B-v2-VL?
Nemotron-Nano-12B-v2-VL has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Gemma 3n 2B (free) or Nemotron-Nano-12B-v2-VL?
Nemotron-Nano-12B-v2-VL has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for structured outputs, Gemma 3n 2B (free) or Nemotron-Nano-12B-v2-VL?
Nemotron-Nano-12B-v2-VL has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Gemma 3n 2B (free) and Nemotron-Nano-12B-v2-VL?
Gemma 3n 2B (free) is available on NVIDIA NIM. Nemotron-Nano-12B-v2-VL is available on NVIDIA NIM, OpenRouter, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Gemma 3n 2B (free) over Nemotron-Nano-12B-v2-VL?
Nemotron-Nano-12B-v2-VL is safer overall; choose Gemma 3n 2B (free) when provider fit matters. If your workload also depends on provider fit, start with Gemma 3n 2B (free); if it depends on vision-heavy evaluation, run the same evaluation with Nemotron-Nano-12B-v2-VL.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.