The AI arena is free today

Open Superagent

GPT-6 Astra vs Nemotron Nano 9B v2

GPT-6 Astra leads the LLM Stats Score 60.7 to 18.6.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to 18.6, ranking #1 overall.

In the 1 individual benchmarks reported for both models, GPT-6 Astra wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose GPT-6 Astra

  • overall performance matters — it scores 60.7 and ranks #1 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • 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.

Core performance indexes
60.7
#1
18.6
#200
58.7
#1
17.4
#198
49.0
#1
14.6
#125
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$10.00 / M
— / M
Output price
$50.00 / M
— / M
Context window
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6 Astra
Nemotron Nano 9B v2
35.3#42
16.5#197
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 6 for Nemotron Nano 9B v2

1 shared

GPT-6 Astra outperforms in 1 benchmarks (GPQA), while Nemotron Nano 9B v2 is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Mon Sep 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

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

OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

GPT-6 Astra

Text
Images
Audio
Video

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra 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 Astra

Proprietary

Closed source

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while Nemotron Nano 9B v2 was released on 2025-08-18.

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

GPT-6 Astra

Sep 4, 2026

2 days ago

1.0yr newer
Nemotron Nano 9B v2

Aug 18, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a knowledge cutoff of 2026-04-30, while Nemotron Nano 9B v2 has a cutoff of 2024-09-01.

GPT-6 Astra has more recent training data (up to 2026-04-30), making it potentially better informed about events through that date compared to Nemotron Nano 9B v2 (2024-09-01).

GPT-6 Astra

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 Astra and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

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

FAQ

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

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

GPT-6 Astra leads the LLM Stats Score 60.7 to 18.6. GPT-6 Astra 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 Astra compare to Nemotron Nano 9B v2 in benchmarks?

GPT-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%. 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 Astra and Nemotron Nano 9B v2?

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

Key differences include LLM Stats Score (60.7 vs 18.6), 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 Astra and Nemotron Nano 9B v2?

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