--- title: "Nemotron 3 Ultra AI model: facts and benchmarks | Kendr" canonical: "https://kendr.org/models/nvidia-nemotron-3-ultra-550b-a55b" date_modified: "2026-08-12" profile_kind: "reference" --- # Nemotron 3 Ultra model profile Nemotron 3 Ultra is a NVIDIA model profile with a 512,288-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 Ultra 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 Ultra 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 $0.6 input and $3.6 output per million tokens. Cached input is $0.2 per million tokens. The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 8 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Nemotron 3 Ultra ranked #66 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:** 512,288 tokens - **Snapshot date:** 2026-08-12 - **Reference catalog ID:** nvidia/nemotron-3-ultra-550b-a55b ## Context, modalities, and identity Nemotron 3 Ultra 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:** 512,288 tokens - **Maximum output:** No verified numeric limit - **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, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p - prompt caching - reasoning controls - structured output - text generation - tool calling ## Dated pricing snapshot The dated reference snapshot lists $0.6 input and $3.6 output per million tokens. Cached input is $0.2 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:** $0.6 per 1M tokens - **Cached input:** $0.2 per 1M tokens - **Output:** $3.6 per 1M tokens ## Benchmark evidence and limitations The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 8 Design Arena categories. 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:** 38.3 - **Coding Index:** 49.3 - **Agentic Index:** 27.5 | Design Arena category | Elo | Win rate | Rank | | --- | --- | --- | --- | | 3d | 1186 | 41.2% | #53 | | asciiart | 1113 | 36.8% | #51 | | codecategories | 1155 | 36% | #72 | | dataviz | 1152 | 37.4% | #71 | | gamedev | 1166 | 37.8% | #64 | | svg | 1126 | 37.6% | #50 | | uicomponent | 1173 | 38.4% | #62 | | website | 1135 | 33.3% | #82 | ## Popularity and market context Nemotron 3 Ultra ranked #66 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:** #66 - **Global market share:** Not inferred - **Observation date:** 2026-08-12 ## Frequently asked questions ### What is Nemotron 3 Ultra? Nemotron 3 Ultra is a NVIDIA model profile with a 512,288-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 Ultra have? The dated profile lists 512,288 tokens of context. Provider routes, variants, and runtime configuration can impose lower effective limits. ### What benchmark evidence is available for Nemotron 3 Ultra? The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 8 Design Arena categories. 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 Ultra 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 Ultra's global market share? Nemotron 3 Ultra ranked #66 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 Ultra third-party catalog record](https://openrouter.ai/nvidia/nemotron-3-ultra-550b-a55b) — 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 - [Design Arena leaderboard and methodology](https://www.designarena.ai/leaderboard) — benchmark, checked 2026-08-12 Live Kendr operational availability is published separately at https://api.kendr.org/api/public/models.