Gemma 3 vs Nemotron 3 Nano Omni
Gemma 3 (2025) and Nemotron 3 Nano Omni (2026) are general-purpose language models from Google DeepMind and NVIDIA AI. Gemma 3 ships a not-yet-sourced context window, while Nemotron 3 Nano Omni ships a 262k-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. It focuses on practical selection signals rather than broad model-family marketing.
Nemotron 3 Nano Omni is safer overall; choose Gemma 3 when provider fit matters.
Decision scorecard
Local evidence first| Signal | Gemma 3 | Nemotron 3 Nano Omni |
|---|---|---|
| Best for | provider-routed production | multimodal apps |
| Decision fit | Classification and JSON / JSON / Tool use | Long context, Vision, and Classification |
| Context window | — | 262k |
| Cheapest output | $0.08/1M tokens | - |
| Provider routes | 3 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Gemma 3 has broader tracked provider coverage for fallback and route flexibility.
- Gemma 3 uniquely exposes Structured outputs in local model data.
- Local decision data tags Gemma 3 for Classification and JSON / Tool use.
- Nemotron 3 Nano Omni has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Nemotron 3 Nano Omni uniquely exposes Multimodal in local model data.
- Local decision data tags Nemotron 3 Nano Omni for Long context, Vision, and Classification.
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 3 Nano Omni
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Check replacement coverage for Structured outputs before moving production traffic.
- Nemotron 3 Nano Omni adds Multimodal in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Check replacement coverage for Multimodal before moving production traffic.
- Gemma 3 adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-03-12 | 2026-04-28 |
| Context window | — | 262k |
| Parameters | — | 30B |
| Architecture | Decoder Only | MoE + SSM Hybrid |
| License | Gemma | NVIDIA Open Model |
| Openness | Open weights | Open weights |
| Weights | Unknown | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Pricing attribute | Gemma 3 | Nemotron 3 Nano Omni |
|---|---|---|
| Input price | $0.04/1M tokens | - |
| Output price | $0.08/1M tokens | - |
| Providers |
Capabilities
| Capability | Gemma 3 | Nemotron 3 Nano Omni |
|---|---|---|
| Vision | No | No |
| Multimodal | No | Yes |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | Yes | 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.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.