Model Comparison

GPT-5.6 Sol vs Nemotron Nano 9B v2Which is better in 2026?

GPT-5.6 Sol significantly outperforms across most benchmarks.

Verdict: GPT-5.6 Sol vs Nemotron Nano 9B v2 — which is better?

GPT-5.6 Sol (by OpenAI) and Nemotron Nano 9B v2 (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-5.6 Sol outperforms in 1 benchmarks (GPQA), while Nemotron Nano 9B v2 is better at 0 benchmarks. GPT-5.6 Sol significantly outperforms across most benchmarks.

Choose GPT-5.6 Sol if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Choose Nemotron Nano 9B v2 if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-5.6 Sol outperforms in 1 benchmarks (GPQA), while Nemotron Nano 9B v2 is better at 0 benchmarks.

GPT-5.6 Sol significantly outperforms across most benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5.6 Sol specifies input context (1,050,000 tokens). Only GPT-5.6 Sol specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Sol
Input1,050,000 tokens
Output128,000 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.6 Sol supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.

GPT-5.6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.6 Sol

Text
Images
Audio
Video

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Sol is licensed under a proprietary license, while Nemotron Nano 9B v2 uses NVIDIA Open Model License Agreement .

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.6 Sol

Proprietary

Closed source

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

GPT-5.6 Sol was released on 2026-07-09, while Nemotron Nano 9B v2 was released on 2025-08-18.

GPT-5.6 Sol is 11 months newer than Nemotron Nano 9B v2.

GPT-5.6 Sol

Jul 9, 2026

2 weeks ago

10mo newer
Nemotron Nano 9B v2

Aug 18, 2025

11 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Sol has a knowledge cutoff of 2026-02-16, while Nemotron Nano 9B v2 has a cutoff of 2024-09-01.

GPT-5.6 Sol has more recent training data (up to 2026-02-16), making it potentially better informed about events through that date compared to Nemotron Nano 9B v2 (2024-09-01).

GPT-5.6 Sol

Feb 2026

1.4 yr newer
Nemotron Nano 9B v2

Sep 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (1,050,000 tokens)
Supports multimodal inputs
Higher GPQA score (94.6% vs 64.0%)
NVIDIA
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.6 Sol and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

GPT-5.6 Sol
✓ Preferred
Nemotron Nano 9B v2
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.6 Sol
NVIDIA
Nemotron Nano 9B v2

FAQ

Common questions about GPT-5.6 Sol vs Nemotron Nano 9B v2.

Which is better, GPT-5.6 Sol or Nemotron Nano 9B v2?

GPT-5.6 Sol significantly outperforms across most benchmarks. GPT-5.6 Sol is made by OpenAI and Nemotron Nano 9B v2 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.6 Sol compare to Nemotron Nano 9B v2 in benchmarks?

GPT-5.6 Sol scores Connectors: 100.0%, Capture-the-Flag Challenges (Internal): 96.7%, HealthBench Consensus: 95.5%, GPQA: 94.6%, MRCR v2 (8-needle): 91.5%. Nemotron Nano 9B v2 scores MATH-500: 97.8%, IFEval: 90.3%, AIME 2025: 72.1%, LiveCodeBench: 71.1%, BFCL_v3_MultiTurn: 66.9%.

What are the context window sizes for GPT-5.6 Sol and Nemotron Nano 9B v2?

GPT-5.6 Sol supports 1.1M tokens and Nemotron Nano 9B v2 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.6 Sol and Nemotron Nano 9B v2?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Sol and Nemotron Nano 9B v2?

GPT-5.6 Sol is developed by OpenAI and Nemotron Nano 9B v2 is developed by NVIDIA.

Related comparisons