Gemini 1.5 Pro 002 vs Nemotron 3 Nano Omni
Gemini 1.5 Pro 002 (2024) and Nemotron 3 Nano Omni (2026) are general-purpose language models from Google DeepMind and NVIDIA AI. Gemini 1.5 Pro 002 ships a 2m-token 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.
Gemini 1.5 Pro 002 fits 8x more tokens; pick it for long-context work and Nemotron 3 Nano Omni for tighter calls.
Decision scorecard
Local evidence first| Signal | Gemini 1.5 Pro 002 | Nemotron 3 Nano Omni |
|---|---|---|
| Best for | long-context analysis | multimodal apps |
| Decision fit | Long context | Long context, Vision, and Classification |
| Context window | 2m | 262k |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Gemini 1.5 Pro 002 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Gemini 1.5 Pro 002 for Long context.
- Nemotron 3 Nano Omni has broader tracked provider coverage for fallback and procurement flexibility.
- 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.
Gemini 1.5 Pro 002
Unavailable
No complete token price in local provider data
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
- No overlapping tracked provider route is sourced for Gemini 1.5 Pro 002 and Nemotron 3 Nano Omni; plan for SDK, billing, or endpoint changes.
- Nemotron 3 Nano Omni adds Multimodal in local capability data.
- No overlapping tracked provider route is sourced for Nemotron 3 Nano Omni and Gemini 1.5 Pro 002; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-09-24 | 2026-04-28 |
| Context window | 2m | 262k |
| Parameters | — | 30B |
| Architecture | Decoder Only | MoE + SSM Hybrid |
| License | Proprietary | NVIDIA Open Model |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2024-08 | - |
Pricing and availability
| Pricing attribute | Gemini 1.5 Pro 002 | Nemotron 3 Nano Omni |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Gemini 1.5 Pro 002 | Nemotron 3 Nano Omni |
|---|---|---|
| Vision | No | No |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | 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.
Deep dive
The capability footprint differs most on multimodal input: Nemotron 3 Nano Omni. 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: Gemini 1.5 Pro 002 has no token price sourced yet and Nemotron 3 Nano Omni has no token price sourced yet. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Gemini 1.5 Pro 002 when long-context analysis and larger context windows are central to the workload. Choose Nemotron 3 Nano Omni when provider fit 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.
FAQ
Which has a larger context window, Gemini 1.5 Pro 002 or Nemotron 3 Nano Omni?
Gemini 1.5 Pro 002 supports 2m tokens, while Nemotron 3 Nano Omni supports 262k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Gemini 1.5 Pro 002 or Nemotron 3 Nano Omni open source?
Gemini 1.5 Pro 002 is listed under Proprietary. Nemotron 3 Nano Omni is listed under NVIDIA Open Model. 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 multimodal input, Gemini 1.5 Pro 002 or Nemotron 3 Nano Omni?
Nemotron 3 Nano Omni 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.
Where can I run Gemini 1.5 Pro 002 and Nemotron 3 Nano Omni?
Gemini 1.5 Pro 002 is available on the tracked providers still being sourced. Nemotron 3 Nano Omni is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Gemini 1.5 Pro 002 over Nemotron 3 Nano Omni?
Gemini 1.5 Pro 002 fits 8x more tokens; pick it for long-context work and Nemotron 3 Nano Omni for tighter calls. If your workload also depends on long-context analysis, start with Gemini 1.5 Pro 002; if it depends on provider fit, run the same evaluation with Nemotron 3 Nano Omni.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.