Gemma 3 vs Nemotron-Nano-12B-v2-VL
Gemma 3 (2025) and Nemotron-Nano-12B-v2-VL (2025) are general-purpose language models from Google DeepMind and NVIDIA AI. Gemma 3 ships a not-yet-sourced context window, while Nemotron-Nano-12B-v2-VL ships a not-yet-sourced context window. On pricing, Gemma 3 costs $0.04/1M input tokens versus $0.20/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemma 3 is ~400% cheaper at $0.04/1M; pay for Nemotron-Nano-12B-v2-VL only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Gemma 3 | Nemotron-Nano-12B-v2-VL |
|---|---|---|
| Best for | provider-routed production | multimodal apps and provider-routed production |
| Decision fit | Classification and JSON / Tool use | Vision and JSON / Tool use |
| Context window | — | — |
| Cheapest output | $0.08/1M tokens | $0.60/1M tokens |
| Provider routes | 3 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemma 3 has the lower cheapest tracked output price at $0.08/1M tokens.
- Local decision data tags Gemma 3 for Classification and JSON / Tool use.
- Nemotron-Nano-12B-v2-VL uniquely exposes Vision and Multimodal 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 3
$52.00
Cheapest tracked route/tier: OpenRouter
Nemotron-Nano-12B-v2-VL
$310
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $258. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Nemotron-Nano-12B-v2-VL is $0.52/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Nemotron-Nano-12B-v2-VL adds Vision and Multimodal in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Gemma 3 is $0.52/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-03-12 | 2025-10-28 |
| Context window | — | — |
| Parameters | — | 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 | 2025-01 | - |
Pricing and availability
| Pricing attribute | Gemma 3 | Nemotron-Nano-12B-v2-VL |
|---|---|---|
| Input price | $0.04/1M tokens | $0.20/1M tokens |
| Output price | $0.08/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | Gemma 3 | Nemotron-Nano-12B-v2-VL |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | 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 and multimodal input: Nemotron-Nano-12B-v2-VL. Both models share structured outputs, 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.
For cost, Gemma 3 lists $0.04/1M input and $0.08/1M output tokens on the cheapest tracked provider, while Nemotron-Nano-12B-v2-VL lists $0.20/1M input and $0.60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 3 lower by about $0.27 per million blended tokens. Availability is 3 providers versus 3, so concentration risk also matters.
Choose Gemma 3 when provider fit and lower input-token cost are central to the workload. Choose Nemotron-Nano-12B-v2-VL when vision-heavy evaluation 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 is cheaper, Gemma 3 or Nemotron-Nano-12B-v2-VL?
Gemma 3 is cheaper on tracked token pricing. Gemma 3 costs $0.04/1M input and $0.08/1M output tokens. Nemotron-Nano-12B-v2-VL costs $0.20/1M input and $0.60/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemma 3 or Nemotron-Nano-12B-v2-VL open source?
Gemma 3 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 3 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 3 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 3 or Nemotron-Nano-12B-v2-VL?
Both Gemma 3 and Nemotron-Nano-12B-v2-VL expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run Gemma 3 and Nemotron-Nano-12B-v2-VL?
Gemma 3 is available on OpenRouter, Google AI Studio, and GCP Vertex AI. 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.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.