GPT OSS 20B High vs Nemotron 3 Nano (30B A3B)
GPT OSS 20B High leads the LLM Stats Score 27.6 to 21.0. Nemotron 3 Nano (30B A3B) is 2.3x cheaper per token.
OpenAI · NVIDIA · Updated for 2026
Which is better?
GPT OSS 20B High leads the overall LLM Stats Score 27.6 to 21.0, ranking #141 overall.
In the 2 individual benchmarks reported for both models, Nemotron 3 Nano (30B A3B) wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Nemotron 3 Nano (30B A3B) is roughly 2.3x 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 GPT OSS 20B High
- overall performance matters — it scores 27.6 and ranks #141 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
Choose Nemotron 3 Nano (30B A3B)
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 2.3x 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
At a glance
The differences that matter most.
Individual benchmarks
2 reported for GPT OSS 20B High · 15 for Nemotron 3 Nano (30B A3B)
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.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT OSS 20B High ($0.10/1M tokens) is 2.0x more expensive than Nemotron 3 Nano (30B A3B) ($0.05/1M tokens).
For output processing, GPT OSS 20B High ($0.50/1M tokens) is 2.5x more expensive than Nemotron 3 Nano (30B A3B) ($0.20/1M 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
1.1 years ago
Dec 15, 2025
9 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.
—
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
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.
FAQ
Common questions about GPT OSS 20B High vs Nemotron 3 Nano (30B A3B).