LLM Reference

Gemini 1.5 Flash vs Nemotron 3 Nano Omni

Gemini 1.5 Flash (2024) and Nemotron 3 Nano Omni (2026) are general-purpose language models from Google DeepMind and NVIDIA AI. Gemini 1.5 Flash ships a 1m-token context window, while Nemotron 3 Nano Omni ships a 262k-token context window. On MMLU PRO, Nemotron 3 Nano Omni leads by 12.7 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Nemotron 3 Nano Omni is safer overall; choose Gemini 1.5 Flash when long-context analysis matters.

Decision scorecard

Local evidence first
SignalGemini 1.5 FlashNemotron 3 Nano Omni
Best forlong-context analysis and provider-routed productionmultimodal apps
Decision fitRAG, Long context, and ClassificationLong context, Vision, and Classification
Context window1m262k
Cheapest output$0.30/1M tokens-
Provider routes2 tracked1 tracked
Shared benchmarks1 sharedMMLU PRO leader

Decision tradeoffs

Choose Gemini 1.5 Flash when...
  • Gemini 1.5 Flash has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemini 1.5 Flash has broader tracked provider coverage for fallback and procurement flexibility.
  • Gemini 1.5 Flash uniquely exposes Structured outputs in local model data.
  • Local decision data tags Gemini 1.5 Flash for RAG, Long context, and Classification.
Choose Nemotron 3 Nano Omni when...
  • Nemotron 3 Nano Omni holds a shared-benchmark lead on MMLU PRO, ahead by 12.7 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 Flash

$135

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

Gemini 1.5 Flash -> Nemotron 3 Nano Omni
  • No overlapping tracked provider route is sourced for Gemini 1.5 Flash 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.
Nemotron 3 Nano Omni -> Gemini 1.5 Flash
  • No overlapping tracked provider route is sourced for Nemotron 3 Nano Omni and Gemini 1.5 Flash; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Multimodal before moving production traffic.
  • Gemini 1.5 Flash adds Structured outputs in local capability data.

Specs

Specification
Released2024-05-142026-04-28
Context window1m262k
Parameters30B
ArchitectureDecoder OnlyMoE + SSM Hybrid
LicenseProprietaryNVIDIA Open Model
OpennessProprietaryOpen weights
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2024-05-

Pricing and availability

Pricing attributeGemini 1.5 FlashNemotron 3 Nano Omni
Input price$0.07/1M tokens-
Output price$0.30/1M tokens-
Providers

Capabilities

CapabilityGemini 1.5 FlashNemotron 3 Nano Omni
VisionNoNo
MultimodalNoYes
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGemini 1.5 FlashNemotron 3 Nano Omni
MMLU PRO59.171.8

Deep dive

On shared benchmark coverage, MMLU PRO has Gemini 1.5 Flash at 59.1 and Nemotron 3 Nano Omni at 71.8, with Nemotron 3 Nano Omni ahead by 12.7 points. The largest visible gap is 12.7 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 Flash. 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 Flash has $0.07/1M 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 Flash 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 Flash or Nemotron 3 Nano Omni?

Gemini 1.5 Flash supports 1m 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 Flash or Nemotron 3 Nano Omni open source?

Gemini 1.5 Flash 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 Flash 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 Flash or Nemotron 3 Nano Omni?

Gemini 1.5 Flash 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 Flash and Nemotron 3 Nano Omni?

Gemini 1.5 Flash 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 Flash over Nemotron 3 Nano Omni?

Nemotron 3 Nano Omni is safer overall; choose Gemini 1.5 Flash when long-context analysis matters. If your workload also depends on long-context analysis, start with Gemini 1.5 Flash; 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.