Model Comparison

GPT OSS 120B vs Nemotron 3 Nano (30B A3B)Which is better in 2026?

Both models are evenly matched across the benchmarks. Nemotron 3 Nano (30B A3B) is 1.7x cheaper per token.

Verdict: GPT OSS 120B vs Nemotron 3 Nano (30B A3B) — which is better?

GPT OSS 120B (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 120B outperforms in 1 benchmarks (GPQA), while Nemotron 3 Nano (30B A3B) is better at 1 benchmark (Humanity's Last Exam). Both models are evenly matched across the benchmarks.

On price, Nemotron 3 Nano (30B A3B) is roughly 1.7x 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 120B if…

  • you want predictable pricing at $0.09/M input and $0.45/M output

Choose Nemotron 3 Nano (30B A3B) if…

  • cost matters — it's about 1.7x 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
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT OSS 120B outperforms in 1 benchmarks (GPQA), while Nemotron 3 Nano (30B A3B) is better at 1 benchmark (Humanity's Last Exam).

Both models are evenly matched across the benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Nemotron 3 Nano (30B A3B) costs less

For input processing, GPT OSS 120B ($0.09/1M tokens) is 1.5x more expensive than Nemotron 3 Nano (30B A3B) ($0.06/1M tokens).

For output processing, GPT OSS 120B ($0.45/1M tokens) is 1.9x more expensive than Nemotron 3 Nano (30B A3B) ($0.24/1M tokens).

In conclusion, GPT OSS 120B is more expensive than Nemotron 3 Nano (30B A3B).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
OpenAI
GPT OSS 120B
Input tokens$0.09
Output tokens$0.45
Best providerDeepinfra
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.06
Output tokens$0.24
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

84.8B diff

GPT OSS 120B has 84.8B more parameters than Nemotron 3 Nano (30B A3B), making it 265.0% larger.

OpenAI
GPT OSS 120B
116.8Bparameters
NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
116.8B
GPT OSS 120B
32.0B
Nemotron 3 Nano (30B A3B)

Context Window

Maximum input and output token capacity

Nemotron 3 Nano (30B A3B) accepts 262,144 input tokens compared to GPT OSS 120B's 131,072 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while GPT OSS 120B is limited to 131,072 tokens.

OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Sat Jun 13 2026 • llm-stats.com

License

Usage and distribution terms

GPT OSS 120B 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.

GPT OSS 120B

Apache 2.0

Open weights

Nemotron 3 Nano (30B A3B)

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

GPT OSS 120B 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 120B.

GPT OSS 120B

Aug 5, 2025

10 months ago

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

6 months ago

4mo newer

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while GPT OSS 120B'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 120B's cutoff date.

GPT OSS 120B

—

Nemotron 3 Nano (30B A3B)

Nov 2025

Provider Availability

GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq. Nemotron 3 Nano (30B A3B) is available from DeepInfra.

GPT OSS 120B

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.45/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
groq logo
Groq
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Nemotron 3 Nano (30B A3B)

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.24/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Higher GPQA score (80.1% vs 75.0%)
NVIDIA
Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens
Higher Humanity's Last Exam score (15.5% vs 14.9%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT OSS 120B
NVIDIA
Nemotron 3 Nano (30B A3B)

FAQ

Common questions about GPT OSS 120B vs Nemotron 3 Nano (30B A3B).

Which is better, GPT OSS 120B or Nemotron 3 Nano (30B A3B)?

Both models are evenly matched across the benchmarks. GPT OSS 120B is made by OpenAI and Nemotron 3 Nano (30B A3B) is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT OSS 120B compare to Nemotron 3 Nano (30B A3B) in benchmarks?

GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%. Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%.

Is GPT OSS 120B cheaper than Nemotron 3 Nano (30B A3B)?

Nemotron 3 Nano (30B A3B) is 1.5x cheaper for input tokens. GPT OSS 120B costs $0.09/M input and $0.45/M output via deepinfra. Nemotron 3 Nano (30B A3B) costs $0.06/M input and $0.24/M output via deepinfra.

What are the context window sizes for GPT OSS 120B and Nemotron 3 Nano (30B A3B)?

GPT OSS 120B supports 131K tokens and Nemotron 3 Nano (30B A3B) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT OSS 120B and Nemotron 3 Nano (30B A3B)?

Key differences include context window (131K vs 262K), input pricing ($0.09 vs $0.06/M), licensing (Apache 2.0 vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B and Nemotron 3 Nano (30B A3B)?

GPT OSS 120B is developed by OpenAI and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.

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