Model Comparison
GPT OSS 20B High vs Nemotron 3 Nano (30B A3B)Which is better in 2026?
Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks. Nemotron 3 Nano (30B A3B) is 1.9x cheaper per token.
Verdict: GPT OSS 20B High vs Nemotron 3 Nano (30B A3B) — which is better?
GPT OSS 20B High (by OpenAI) and Nemotron 3 Nano (30B A3B) (by NVIDIA) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT OSS 20B High outperforms in 0 benchmarks, while Nemotron 3 Nano (30B A3B) is better at 2 benchmarks (AIME 2025, GPQA). Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks.
On price, Nemotron 3 Nano (30B A3B) is roughly 1.9x 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.
Choose GPT OSS 20B High if…
- you want predictable pricing at $0.10/M input and $0.50/M output
Choose Nemotron 3 Nano (30B A3B) if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 1.9x 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
Performance Benchmarks
Comparative analysis across standard metrics
GPT OSS 20B High outperforms in 0 benchmarks, while Nemotron 3 Nano (30B A3B) is better at 2 benchmarks (AIME 2025, GPQA).
Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT OSS 20B High ($0.10/1M tokens) is 1.7x more expensive than Nemotron 3 Nano (30B A3B) ($0.06/1M tokens).
For output processing, GPT OSS 20B High ($0.50/1M tokens) is 2.1x more expensive than Nemotron 3 Nano (30B A3B) ($0.24/1M tokens).
In conclusion, GPT OSS 20B High is more expensive than Nemotron 3 Nano (30B A3B).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Nemotron 3 Nano (30B A3B) has 11.1B more parameters than GPT OSS 20B High, making it 53.1% larger.
Context Window
Maximum input and output token capacity
Nemotron 3 Nano (30B A3B) accepts 262,144 input tokens compared to GPT OSS 20B High's 131,072 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while GPT OSS 20B High is limited to 131,072 tokens.
License
Usage and distribution terms
GPT OSS 20B High is licensed under Apache 2.0, while Nemotron 3 Nano (30B A3B) uses NVIDIA Open Model License Agreement .
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
NVIDIA Open Model License Agreement
Open weights
Release Timeline
When each model was launched
GPT OSS 20B High was released on 2025-08-05, while Nemotron 3 Nano (30B A3B) was released on 2025-12-15.
Nemotron 3 Nano (30B A3B) is 4 months newer than GPT OSS 20B High.
Aug 5, 2025
1.0 years ago
Dec 15, 2025
7 months ago
4mo newerKnowledge Cutoff
When training data ends
Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while GPT OSS 20B High'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 GPT OSS 20B High's cutoff date.
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Nov 2025
Provider Availability
GPT OSS 20B High is available from OpenAI. Nemotron 3 Nano (30B A3B) is available from DeepInfra.
GPT OSS 20B High
Nemotron 3 Nano (30B A3B)
Outputs Comparison
Key Takeaways
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT OSS 20B High and Nemotron 3 Nano (30B A3B) side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT OSS 20B High vs Nemotron 3 Nano (30B A3B).