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GPT-6 Sol vs Nemotron Nano 9B v2

GPT-6 Sol leads the LLM Stats Score 49.4 to 18.4.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-6 Sol leads the overall LLM Stats Score 49.4 to 18.4, ranking #21 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6 Sol

  • overall performance matters — it scores 49.4 and ranks #21 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Nemotron Nano 9B v2

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

At a glance

The differences that matter most.

GPT-6 Sol
OpenAI
Nemotron Nano 9B v2
NVIDIA
Core performance indexes
LLM Stats Score
49.4
#21
18.4
#217
Reasoning
45.6
#29
17.2
#216
Coding
35.8
#25
14.4
#139
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Individual benchmarks

5 reported for GPT-6 Sol · 6 for Nemotron Nano 9B v2

No common benchmarks found

GPT-6 Sol and Nemotron Nano 9B v2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Sol specifies input context (1,050,000 tokens). Only GPT-6 Sol specifies output context (128,000 tokens).

OpenAI
GPT-6 Sol
Input1,050,000 tokens
Output128,000 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Sol supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.

GPT-6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Sol

Text
Images
Audio
Video

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-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-6 Sol

Proprietary

Closed source

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

GPT-6 Sol was released on 2026-09-22, while Nemotron Nano 9B v2 was released on 2025-08-18.

GPT-6 Sol is 13 months newer than Nemotron Nano 9B v2.

GPT-6 Sol

Sep 22, 2026

0 days ago

1.1yr newer
Nemotron Nano 9B v2

Aug 18, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

GPT-6 Sol has a knowledge cutoff of 2026-04-20, while Nemotron Nano 9B v2 has a cutoff of 2024-09-01.

GPT-6 Sol has more recent training data (up to 2026-04-20), making it potentially better informed about events through that date compared to Nemotron Nano 9B v2 (2024-09-01).

GPT-6 Sol

Apr 2026

1.6 yr newer
Nemotron Nano 9B v2

Sep 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Sol and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

GPT-6 Sol
✓ Preferred
Nemotron Nano 9B v2
Open in Playground

FAQ

Common questions about GPT-6 Sol vs Nemotron Nano 9B v2.

Which is better, GPT-6 Sol or Nemotron Nano 9B v2?

GPT-6 Sol leads the LLM Stats Score 49.4 to 18.4. GPT-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 capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6 Sol compare to Nemotron Nano 9B v2 in benchmarks?

GPT-6 Sol scores DeepSWE 1.1: 68.8%, OSWorld 2.0: 64.4%, Agents' Last Exam: 56.4%, FrontierCode 1.1: 49.3%, AutomationBench v1.0.6: 33.2%. 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-6 Sol and Nemotron Nano 9B v2?

GPT-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-6 Sol and Nemotron Nano 9B v2?

Key differences include LLM Stats Score (49.4 vs 18.4), 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-6 Sol and Nemotron Nano 9B v2?

GPT-6 Sol is developed by OpenAI and Nemotron Nano 9B v2 is developed by NVIDIA.

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