Gemini 1.5 Pro vs Nemotron 3 Nano Omni
Gemini 1.5 Pro (2024) and Nemotron 3 Nano Omni (2026) are general-purpose language models from Google DeepMind and NVIDIA AI. Gemini 1.5 Pro ships a 2m-token context window, while Nemotron 3 Nano Omni ships a 262k-token context window. On MMLU PRO, Nemotron 3 Nano Omni leads by 2.8 pts. 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 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 | Nemotron 3 Nano Omni |
|---|---|---|
| Best for | long-context analysis and provider-routed production | multimodal apps |
| Decision fit | RAG, Long context, and Vision | Long context, Vision, and Classification |
| Context window | 2m | 262k |
| Cheapest output | $5/1M tokens | - |
| Provider routes | 2 tracked | 1 tracked |
| Shared benchmarks | 1 shared | MMLU PRO leader |
Decision tradeoffs
- Gemini 1.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 1.5 Pro has broader tracked provider coverage for fallback and procurement flexibility.
- Gemini 1.5 Pro uniquely exposes Structured outputs in local model data.
- Local decision data tags Gemini 1.5 Pro for RAG, Long context, and Vision.
- Nemotron 3 Nano Omni holds a shared-benchmark lead on MMLU PRO, ahead by 2.8 points.
- 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
$2,250
Cheapest tracked route/tier: GCP Vertex AI
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 and Nemotron 3 Nano Omni; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- 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; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Multimodal before moving production traffic.
- Gemini 1.5 Pro adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-02-15 | 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 | 2023-11 | - |
Pricing and availability
| Pricing attribute | Gemini 1.5 Pro | Nemotron 3 Nano Omni |
|---|---|---|
| Input price | $1.25/1M tokens | - |
| Output price | $5/1M tokens | - |
| Providers |
Capabilities
| Capability | Gemini 1.5 Pro | Nemotron 3 Nano Omni |
|---|---|---|
| Vision | No | No |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| 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
| Benchmark | Gemini 1.5 Pro | Nemotron 3 Nano Omni |
|---|---|---|
| MMLU PRO | 69.0 | 71.8 |
Deep dive
On shared benchmark coverage, MMLU PRO has Gemini 1.5 Pro at 69.0 and Nemotron 3 Nano Omni at 71.8, with Nemotron 3 Nano Omni ahead by 2.8 points. The largest visible gap is 2.8 points on MMLU PRO, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on multimodal input: Nemotron 3 Nano Omni and structured outputs: Gemini 1.5 Pro. 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 has $1.25/1M input tokens and Nemotron 3 Nano Omni has no token price sourced yet. Provider availability is 2 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 when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Nemotron 3 Nano Omni when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Gemini 1.5 Pro or Nemotron 3 Nano Omni?
Gemini 1.5 Pro 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 or Nemotron 3 Nano Omni open source?
Gemini 1.5 Pro 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 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.
Which is better for structured outputs, Gemini 1.5 Pro or Nemotron 3 Nano Omni?
Gemini 1.5 Pro 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 Gemini 1.5 Pro and Nemotron 3 Nano Omni?
Gemini 1.5 Pro is available on GCP Vertex AI and Google AI Studio. 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 over Nemotron 3 Nano Omni?
Gemini 1.5 Pro 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; 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.