Gemma 3 12B Instruct vs Nemotron-Nano-9B-v2
Gemma 3 12B Instruct (2025) and Nemotron-Nano-9B-v2 (2025) are compact production models from Google DeepMind and NVIDIA AI. Gemma 3 12B Instruct ships a 128k-token context window, while Nemotron-Nano-9B-v2 ships a not-yet-sourced context window. On pricing, Nemotron-Nano-9B-v2 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.
Nemotron-Nano-9B-v2 is ~400% cheaper at $0.04/1M; pay for Gemma 3 12B Instruct only for provider fit.
Decision scorecard
Local evidence first| Signal | Gemma 3 12B Instruct | Nemotron-Nano-9B-v2 |
|---|---|---|
| Best for | general production evaluation | provider-routed production |
| Decision fit | Long context | Classification and JSON / Tool use |
| Context window | 128k | — |
| Cheapest output | $0.20/1M tokens | $0.16/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Gemma 3 12B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Gemma 3 12B Instruct for Long context.
- Nemotron-Nano-9B-v2 has the lower cheapest tracked output price at $0.16/1M tokens.
- Nemotron-Nano-9B-v2 has broader tracked provider coverage for fallback and procurement flexibility.
- Nemotron-Nano-9B-v2 uniquely exposes Structured outputs in local model data.
- Local decision data tags Nemotron-Nano-9B-v2 for Classification 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 12B Instruct
$210
Cheapest tracked route/tier: Fireworks AI
Nemotron-Nano-9B-v2
$72.00
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $138. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Gemma 3 12B Instruct and Nemotron-Nano-9B-v2; plan for SDK, billing, or endpoint changes.
- Nemotron-Nano-9B-v2 is $0.04/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Nemotron-Nano-9B-v2 adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Nemotron-Nano-9B-v2 and Gemma 3 12B Instruct; plan for SDK, billing, or endpoint changes.
- Gemma 3 12B Instruct is $0.04/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2025-08-18 |
| Context window | 128k | — |
| Parameters | 12B | 9B |
| Architecture | Decoder Only | Decoder Only |
| License | Gemma | Llama 3 Community |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2024-08 | 2025-03 |
Pricing and availability
| Pricing attribute | Gemma 3 12B Instruct | Nemotron-Nano-9B-v2 |
|---|---|---|
| Input price | $0.20/1M tokens | $0.04/1M tokens |
| Output price | $0.20/1M tokens | $0.16/1M tokens |
| Providers |
Capabilities
| Capability | Gemma 3 12B Instruct | Nemotron-Nano-9B-v2 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| 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 scores are currently available for this pair.
Deep dive
The capability footprint differs most on structured outputs: Nemotron-Nano-9B-v2. 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.
For cost, Gemma 3 12B Instruct lists $0.20/1M input and $0.20/1M output tokens on the cheapest tracked provider, while Nemotron-Nano-9B-v2 lists $0.04/1M input and $0.16/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Nemotron-Nano-9B-v2 lower by about $0.12 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose Gemma 3 12B Instruct when provider fit are central to the workload. Choose Nemotron-Nano-9B-v2 when provider fit, lower input-token cost, 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
Which is cheaper, Gemma 3 12B Instruct or Nemotron-Nano-9B-v2?
Nemotron-Nano-9B-v2 is cheaper on tracked token pricing. Gemma 3 12B Instruct costs $0.20/1M input and $0.20/1M output tokens. Nemotron-Nano-9B-v2 costs $0.04/1M input and $0.16/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemma 3 12B Instruct or Nemotron-Nano-9B-v2 open source?
Gemma 3 12B Instruct is listed under Gemma. Nemotron-Nano-9B-v2 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 structured outputs, Gemma 3 12B Instruct or Nemotron-Nano-9B-v2?
Nemotron-Nano-9B-v2 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 3 12B Instruct and Nemotron-Nano-9B-v2?
Gemma 3 12B Instruct is available on Fireworks AI. Nemotron-Nano-9B-v2 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 3 12B Instruct over Nemotron-Nano-9B-v2?
Nemotron-Nano-9B-v2 is ~400% cheaper at $0.04/1M; pay for Gemma 3 12B Instruct only for provider fit. If your workload also depends on provider fit, start with Gemma 3 12B Instruct; if it depends on provider fit, run the same evaluation with Nemotron-Nano-9B-v2.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.