Nemotron 3 Nano Omni (free)
FREEby NVIDIA · nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free
Prices updated Sep 19, 2026, 7:57 PM UTC · refreshed hourly
NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, video, and...
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Pricing
Input
Free
per 1M tokens
Output
Free
per 1M tokens
Blended (3:1)
Free
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Nemotron 3 Nano Omni (free) (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | Free | $0 | — |
| 50% | Free | $0 | −0% |
| 90% | Free | $0 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0 | $0 |
| Document summary | 8,000 | 1,000 | $0 | $0 |
| Codebase question (RAG) | 30,000 | 2,000 | $0 | $0 |
| Long-context analysis | 150,000 | 5,000 | $0 | $0 |
Performance
Intelligence Index
10.3
AA composite quality
Coding Index
13.8
Math Index
—
Agentic Index
—
Output speed
0 tok/s
median
Time to first token
0s
median
Time to first answer
0s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| GPQA Diamond | 46.9% |
| Humanity's Last Exam | 4.8% |
| IFBench | 63.2% |
| AA-LCR (Long Context Reasoning) | 39.7% |
| Terminal-Bench Hard | 8.3% |
| Terminal-Bench 2.1 | 6.7% |
| τ²-Bench (Telecom) | 45.3% |
Specs
Context window
256K
tokens
Max output
66K
tokens
Input modalities
text, audio, image, video
Tokenizer
Other