LLM Reference

Gemini 3.1 Pro Preview vs Nemotron 3 Nano Omni

Gemini 3.1 Pro Preview (2026) and Nemotron 3 Nano Omni (2026) are general-purpose language models from Google DeepMind and NVIDIA AI. Gemini 3.1 Pro Preview ships a 1m-token context window, while Nemotron 3 Nano Omni ships a 262k-token context window. On MMLU PRO, Gemini 3.1 Pro Preview leads by 19.2 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 3.1 Pro Preview when coding workflow support matters.

Decision scorecard

Local evidence first
SignalGemini 3.1 Pro PreviewNemotron 3 Nano Omni
Best formultimodal apps, tool-calling agents, and long-context analysismultimodal apps
Decision fitCoding, RAG, and AgentsLong context, Vision, and Classification
Context window1m262k
Cheapest output$12/1M tokens-
Provider routes5 tracked1 tracked
Shared benchmarksMMLU PRO leader1 shared

Decision tradeoffs

Choose Gemini 3.1 Pro Preview when...
  • Gemini 3.1 Pro Preview holds a shared-benchmark lead on MMLU PRO, ahead by 19.2 points.
  • Gemini 3.1 Pro Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemini 3.1 Pro Preview has broader tracked provider coverage for fallback and procurement flexibility.
  • Gemini 3.1 Pro Preview uniquely exposes Vision, Function calling, and Tool use in local model data.
  • Local decision data tags Gemini 3.1 Pro Preview for Coding, RAG, and Agents.
Choose Nemotron 3 Nano Omni when...
  • 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 3.1 Pro Preview

$4,600

Cheapest tracked route/tier: Google AI Studio

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 3.1 Pro Preview -> Nemotron 3 Nano Omni
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Check replacement coverage for Vision, Function calling, and Tool use before moving production traffic.
Nemotron 3 Nano Omni -> Gemini 3.1 Pro Preview
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Gemini 3.1 Pro Preview adds Vision, Function calling, and Tool use in local capability data.

Specs

Specification
Released2026-02-192026-04-28
Context window1m262k
Parameters30B
ArchitectureDecoder OnlyMoE + SSM Hybrid
LicenseProprietaryNVIDIA Open Model
OpennessProprietaryOpen weights
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2025-01-

Pricing and availability

Pricing attributeGemini 3.1 Pro PreviewNemotron 3 Nano Omni
Input price
0-200,001t
$2/1M tokens
200,001t+
$4/1M tokens
-
Output price
0-200,001t
$12/1M tokens
200,001t+
$18/1M tokens
-
Providers

Capabilities

CapabilityGemini 3.1 Pro PreviewNemotron 3 Nano Omni
VisionYesNo
MultimodalYesYes
ReasoningNoNo
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGemini 3.1 Pro PreviewNemotron 3 Nano Omni
MMLU PRO91.071.8

Deep dive

On shared benchmark coverage, MMLU PRO has Gemini 3.1 Pro Preview at 91.0 and Nemotron 3 Nano Omni at 71.8, with Gemini 3.1 Pro Preview ahead by 19.2 points. The largest visible gap is 19.2 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 vision: Gemini 3.1 Pro Preview, function calling: Gemini 3.1 Pro Preview, tool use: Gemini 3.1 Pro Preview, structured outputs: Gemini 3.1 Pro Preview, and code execution: Gemini 3.1 Pro Preview. Both models share multimodal input, 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 3.1 Pro Preview has $2/1M input tokens and Nemotron 3 Nano Omni has no token price sourced yet. Provider availability is 5 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 3.1 Pro Preview when coding workflow support, 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 3.1 Pro Preview or Nemotron 3 Nano Omni?

Gemini 3.1 Pro Preview 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 3.1 Pro Preview or Nemotron 3 Nano Omni open source?

Gemini 3.1 Pro Preview 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 vision, Gemini 3.1 Pro Preview or Nemotron 3 Nano Omni?

Gemini 3.1 Pro Preview has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, Gemini 3.1 Pro Preview or Nemotron 3 Nano Omni?

Both Gemini 3.1 Pro Preview and Nemotron 3 Nano Omni expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for function calling, Gemini 3.1 Pro Preview or Nemotron 3 Nano Omni?

Gemini 3.1 Pro Preview has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Gemini 3.1 Pro Preview and Nemotron 3 Nano Omni?

Gemini 3.1 Pro Preview is available on Google AI Studio, GCP Vertex AI, OpenRouter, Replicate API, and Vercel AI Gateway. Nemotron 3 Nano Omni is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-19. Data sourced from public model cards and provider documentation.