--- title: "Nemotron 3 Nano 30B A3B AI model: facts and benchmarks | Kendr" canonical: "https://kendr.org/models/nvidia-nemotron-3-nano-30b-a3b" date_modified: "2026-08-12" profile_kind: "reference" --- # Nemotron 3 Nano 30B A3B model profile Nemotron 3 Nano 30B A3B is a NVIDIA model profile with a 262,144-token context window. The dated catalog snapshot records text modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling. Nemotron 3 Nano 30B A3B is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt. Nemotron 3 Nano 30B A3B accepts text and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces. The dated reference snapshot lists $0.05 input and $0.2 output per million tokens. Cached input is $0.025 per million tokens. The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Nemotron 3 Nano 30B A3B ranked #94 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated. ## Profile facts - **Profile type:** Model research profile - **Provider or publisher:** NVIDIA - **Context window:** 262,144 tokens - **Snapshot date:** 2026-08-12 - **Reference catalog ID:** nvidia/nemotron-3-nano-30b-a3b ## Context, modalities, and identity Nemotron 3 Nano 30B A3B accepts text and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces. - **Provider or publisher:** NVIDIA - **Context window:** 262,144 tokens - **Maximum output:** 228,000 tokens - **Input modalities:** text - **Output modalities:** text - **Knowledge cutoff:** Not disclosed ## Capabilities and supported controls Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route. - **Supported parameters:** frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p - prompt caching - reasoning controls - structured output - text generation - tool calling ## Dated pricing snapshot The dated reference snapshot lists $0.05 input and $0.2 output per million tokens. Cached input is $0.025 per million tokens. These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price. - **Price date:** 2026-08-12 - **Input:** $0.05 per 1M tokens - **Cached input:** $0.025 per 1M tokens - **Output:** $0.2 per 1M tokens ## Benchmark evidence and limitations The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source. - **Intelligence Index:** 14.5 - **Coding Index:** 14.4 - **Agentic Index:** 2 ## Popularity and market context Nemotron 3 Nano 30B A3B ranked #94 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. - **Third-party catalog rank:** #94 - **Global market share:** Not inferred - **Observation date:** 2026-08-12 ## Frequently asked questions ### What is Nemotron 3 Nano 30B A3B? Nemotron 3 Nano 30B A3B is a NVIDIA model profile with a 262,144-token context window. The dated catalog snapshot records text modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling. ### What context window does Nemotron 3 Nano 30B A3B have? The dated profile lists 262,144 tokens of context and up to 228,000 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits. ### What benchmark evidence is available for Nemotron 3 Nano 30B A3B? The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source. ### Is Nemotron 3 Nano 30B A3B available through Kendr? This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases. ### Does the popularity rank represent Nemotron 3 Nano 30B A3B's global market share? Nemotron 3 Nano 30B A3B ranked #94 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. No global market-share percentage is inferred when the source does not publish one. ## Sources and evidence dates - [Nemotron 3 Nano 30B A3B third-party catalog record](https://openrouter.ai/nvidia/nemotron-3-nano-30b-a3b) — catalog, checked 2026-08-12 - [Third-party model catalog methodology](https://openrouter.ai/docs/guides/overview/models) — methodology, checked 2026-08-12 - [NVIDIA official model documentation](https://build.nvidia.com/models) — primary, checked 2026-08-12 - [Artificial Analysis capability indices methodology](https://artificialanalysis.ai/methodology/capability-indices) — benchmark, checked 2026-08-12 Live Kendr operational availability is published separately at https://api.kendr.org/api/public/models.