Gemma 4 E2B IT vs Nemotron 3 Nano Omni
Gemma 4 E2B IT (2026) and Nemotron 3 Nano Omni (2026) are compact production models from Google DeepMind and NVIDIA AI. Gemma 4 E2B IT ships a 128k-token context window, while Nemotron 3 Nano Omni ships a 262k-token context window. On MMLU PRO, Nemotron 3 Nano Omni leads by 11.8 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 Gemma 4 E2B IT when provider fit matters.
Decision scorecard
Local evidence first| Signal | Gemma 4 E2B IT | Nemotron 3 Nano Omni |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | multimodal apps |
| Decision fit | RAG, Agents, and Long context | Long context, Vision, and Classification |
| Context window | 128k | 262k |
| Cheapest output | - | - |
| Provider routes | 2 tracked | 1 tracked |
| Shared benchmarks | 1 rows | MMLU PRO leader |
Decision tradeoffs
- Gemma 4 E2B IT has broader tracked provider coverage for fallback and procurement flexibility.
- Gemma 4 E2B IT uniquely exposes Function calling and Structured outputs in local model data.
- Local decision data tags Gemma 4 E2B IT for RAG, Agents, and Long context.
- Nemotron 3 Nano Omni leads the largest shared benchmark signal on MMLU PRO by 11.8 points.
- Nemotron 3 Nano Omni has the larger context window for long prompts, retrieval packs, or transcript analysis.
- 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.
Gemma 4 E2B IT
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 Gemma 4 E2B IT and Nemotron 3 Nano Omni; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling and Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for Nemotron 3 Nano Omni and Gemma 4 E2B IT; plan for SDK, billing, or endpoint changes.
- Gemma 4 E2B IT adds Function calling and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-31 | 2026-04-28 |
| Context window | 128k | 262k |
| Parameters | 2B | 30B |
| Architecture | - | Hybrid Mamba-Transformer MoE |
| License | Apache 2.0 | OpenMDW 1.1 |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Pricing attribute | Gemma 4 E2B IT | Nemotron 3 Nano Omni |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Gemma 4 E2B IT | Nemotron 3 Nano Omni |
|---|---|---|
| Vision | No | No |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | 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 | Gemma 4 E2B IT | Nemotron 3 Nano Omni |
|---|---|---|
| MMLU PRO | 60.0 | 71.8 |
Deep dive
On shared benchmark coverage, MMLU PRO has Gemma 4 E2B IT at 60 and Nemotron 3 Nano Omni at 71.8, with Nemotron 3 Nano Omni ahead by 11.8 points. The largest visible gap is 11.8 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 function calling: Gemma 4 E2B IT and structured outputs: Gemma 4 E2B IT. 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: Gemma 4 E2B IT has no token price sourced yet 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 Gemma 4 E2B IT when provider fit and broader provider choice are central to the workload. Choose Nemotron 3 Nano Omni when long-context analysis and larger context windows 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, Gemma 4 E2B IT or Nemotron 3 Nano Omni?
Nemotron 3 Nano Omni supports 262k tokens, while Gemma 4 E2B IT supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Gemma 4 E2B IT or Nemotron 3 Nano Omni open source?
Gemma 4 E2B IT is listed under Apache 2.0. Nemotron 3 Nano Omni is listed under OpenMDW 1.1. 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, Gemma 4 E2B IT or Nemotron 3 Nano Omni?
Both Gemma 4 E2B IT 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, Gemma 4 E2B IT or Nemotron 3 Nano Omni?
Gemma 4 E2B IT 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.
Which is better for structured outputs, Gemma 4 E2B IT or Nemotron 3 Nano Omni?
Gemma 4 E2B IT 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 4 E2B IT and Nemotron 3 Nano Omni?
Gemma 4 E2B IT is available on Google AI Studio and GCP Vertex AI. Nemotron 3 Nano Omni is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-03. Data sourced from public model cards and provider documentation.