For the free endpoint, please do not upload any confidential information or personal data (such as voices or faces of people). Your use is logged for security purposes and to improve NVIDIA products and services. The logged session data for improvement purposes is not linked to your identity or any persistent identifier. For more information about NVIDIA's data processing practices, see Privacy Policy(opens in new tab). By using this free endpoint, you consent to NVIDIA's collection, recording, and use of such information and the NVIDIA API Trial Terms of Service(opens in new tab)
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it supports text input and output with a context window of up to 1M tokens. It is suited for long-running agentic workflows, including agent orchestration, coding agents, deep research, and complex enterprise tasks.
It is particularly strong at multi-step reasoning and planning, with high-throughput inference designed for high-volume agent pipelines. It is part of the NVIDIA Nemotron family of open models for agentic AI.
Modalities
In / Out Price
$0.50 / $2.20per 1M
Context
512K
Released
Jun 4, 2026
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Token volume and request traffic to this model over time.
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it supports text input and output with a context window of up to 1M tokens.
Nemotron 3 Ultra costs $0.50/M input tokens and $2.20/M output tokens, with separate rates for Cache Read at $0.10/M tokens.
Nemotron 3 Ultra has a 512,288 token context window. It supports up to 16,384 completion tokens.
Yes. Nemotron 3 Ultra accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
Nemotron 3 Ultra is served by 4 providers on OpenRouter: DeepInfra, Baseten, Together and Venice. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.
Nemotron 3 Ultra was released on June 4, 2026.
| $0.60 | $2.40 | $0.12 | 0.65s | 70 tps | ||
| $0.60 | $3.60 | $0.20 | 0.84s | 68 tps | ||
| $0.50 | $2.20 | $0.10 | 1.23s | 68 tps | ||
| $0.625 | $3.125 | $0.1875 | 1.04s | 22 tps |
Throughput
70tok/s
P50, best across providers
Latency
0.65s
P50, best provider
100.00%
98.82%
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.