Nemotron 3 Nano (30B A3B) vs o1
Nemotron 3 Nano (30B A3B) and o1 are closely matched at 21.0 and 20.9 on the LLM Stats Score. Nemotron 3 Nano (30B A3B) is 300.0x cheaper per token.
NVIDIA · OpenAI · Updated for 2026
Which is better?
Nemotron 3 Nano (30B A3B) and o1 are closely matched on the overall LLM Stats Score at 21.0 and 20.9.
In the 2 individual benchmarks reported for both models, o1 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Nemotron 3 Nano (30B A3B) is roughly 300.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Nemotron 3 Nano (30B A3B) also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Nemotron 3 Nano (30B A3B)
- cost matters — it's about 300.0x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Dec 2025
- you need open weights you can self-host or fine-tune
Choose o1
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for Nemotron 3 Nano (30B A3B) · 19 for o1
Nemotron 3 Nano (30B A3B) outperforms in 0 benchmarks, while o1 is better at 2 benchmarks (GPQA, SWE-Bench Verified).
o1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Nemotron 3 Nano (30B A3B) ($0.05/1M tokens) is 300.0x cheaper than o1 ($15.00/1M tokens).
For output processing, Nemotron 3 Nano (30B A3B) ($0.20/1M tokens) is 300.0x cheaper than o1 ($60.00/1M tokens).
In conclusion, o1 is more expensive than Nemotron 3 Nano (30B A3B).*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Nemotron 3 Nano (30B A3B) accepts 262,144 input tokens compared to o1's 200,000 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while o1 is limited to 100,000 tokens.
License
Usage and distribution terms
Nemotron 3 Nano (30B A3B) is licensed under NVIDIA Open Model License Agreement , while o1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
NVIDIA Open Model License Agreement
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Nemotron 3 Nano (30B A3B) was released on 2025-12-15, while o1 was released on 2024-12-17.
Nemotron 3 Nano (30B A3B) is 12 months newer than o1.
Dec 15, 2025
9 months ago
12mo newerDec 17, 2024
1.8 years ago
Knowledge Cutoff
When training data ends
Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while o1's cutoff date is not specified.
We can confirm Nemotron 3 Nano (30B A3B)'s training data extends to 2025-11-28, but cannot make a direct comparison without o1's cutoff date.
Nov 2025
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Provider Availability
Nemotron 3 Nano (30B A3B) is available from DeepInfra. o1 is available from Azure, OpenAI.
Nemotron 3 Nano (30B A3B)
o1
Outputs Comparison
Judge for yourself.
Run your own prompts against Nemotron 3 Nano (30B A3B) and o1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Nemotron 3 Nano (30B A3B) vs o1.