nvidia/nemotron-3-nano-omniNebius AI
- api
- chat
- hosting
- EU
- model lab
- NVIDIA
- weights
- open
- added
- May 2026
- model id
- nebius/nvidia/nemotron-3-nano-omni
capabilities 3/8
- input
- $0.06
- output
- $0.24
- cache write
- -
- cache read
- -
worked cost
| volume | cost |
|---|---|
| 100K in + 10K out | $0.0084 |
| 1M in + 100K out | $0.0840 |
| 10M in + 1M out | $0.84 |
Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing
no measured traffic for this endpoint yet. pricing above is the provider's own
no published scores for this exact variant. region deployments and highspeed tiers usually share the base model's results
- retention
- none
- trains on prompts
- no
- hosted in
- EU
Terms are the provider's, not Requesty's: routing a request here puts it under them. Nebius Privacy Policy
Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.
nebius/nvidia/nemotron-3-nano-omnithis id pins the nebius ai deployment, with no routing and no failover. the managed id on the canonical page routes across all 1 providers instead
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="nebius/nvidia/nemotron-3-nano-omni", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models
The most open, efficient, and accurate omni modal reasoning model for agentic AI.
questions 5
How much does nvidia/nemotron-3-nano-omni cost?
What is the context window of nvidia/nemotron-3-nano-omni?
What can nvidia/nemotron-3-nano-omni do?
How do I use nvidia/nemotron-3-nano-omni with the OpenAI SDK?
Can I run nvidia/nemotron-3-nano-omni through Requesty?
more from nebius ai 8
| endpoint | ctx | in /M |
|---|---|---|
| kimi-k3 | 1.0M | $3.00 |
| glm-5.2 | 1M | $1.40 |
| nvidia/nemotron-3-ultra-550b-a55b | 128K | $1.00 |
| deepseek-v4-pro-0424 | 164K | $1.75 |
| moonshotai/kimi-k2.6 | 256K | $0.95 |
| zai-org/glm-5.1 | 200K | $1.40 |
| qwen/qwen3.5-397b-a17b | 128K | $0.60 |
| minimaxi/minimax-m2.5 | 128K | $0.30 |
call nvidia/nemotron-3-nano-omni through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology