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GPT-6 Astra vs Llama 3.1 Nemotron Ultra 253B v1

GPT-6 Astra leads the LLM Stats Score 60.7 to 19.3.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to 19.3, 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 Llama 3.1 Nemotron Ultra 253B v1

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

At a glance

The differences that matter most.

GPT-6 Astra
OpenAI
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
Core performance indexes
LLM Stats Score
60.7
#1
19.3
#195
Reasoning
58.7
#1
18.9
#193
Coding
49.0
#1
12.6
#139
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
Llama 3.1 Nemotron Ultra 253B v1
Math
35.3#42
15.7#207
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 6 for Llama 3.1 Nemotron Ultra 253B v1

1 shared

GPT-6 Astra outperforms in 1 benchmarks (GPQA), while Llama 3.1 Nemotron Ultra 253B v1 is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Sat Sep 05 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
Llama 3.1 Nemotron Ultra 253B v1
Input- tokens
Output- tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Astra supports multimodal inputs, whereas Llama 3.1 Nemotron Ultra 253B v1 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

Llama 3.1 Nemotron Ultra 253B v1

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra is licensed under a proprietary license, while Llama 3.1 Nemotron Ultra 253B v1 uses Llama 3.1 Community License.

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

GPT-6 Astra

Proprietary

Closed source

Llama 3.1 Nemotron Ultra 253B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while Llama 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07.

GPT-6 Astra is 17 months newer than Llama 3.1 Nemotron Ultra 253B v1.

GPT-6 Astra

Sep 4, 2026

0 days ago

1.4yr newer
Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a knowledge cutoff of 2026-04-30, while Llama 3.1 Nemotron Ultra 253B v1 has a cutoff of 2023-12-01.

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 Llama 3.1 Nemotron Ultra 253B v1 (2023-12-01).

GPT-6 Astra

Apr 2026

2.3 yr newer
Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Astra and Llama 3.1 Nemotron Ultra 253B v1 side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
Llama 3.1 Nemotron Ultra 253B v1
Open in Playground

FAQ

Common questions about GPT-6 Astra vs Llama 3.1 Nemotron Ultra 253B v1.

Which is better, GPT-6 Astra or Llama 3.1 Nemotron Ultra 253B v1?

GPT-6 Astra leads the LLM Stats Score 60.7 to 19.3. GPT-6 Astra is made by OpenAI and Llama 3.1 Nemotron Ultra 253B v1 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 Llama 3.1 Nemotron Ultra 253B v1 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%. Llama 3.1 Nemotron Ultra 253B v1 scores MATH-500: 97.0%, IFEval: 89.5%, GPQA: 76.0%, BFCL v2: 74.1%, AIME 2025: 72.5%.

What are the context window sizes for GPT-6 Astra and Llama 3.1 Nemotron Ultra 253B v1?

GPT-6 Astra supports 1.1M tokens and Llama 3.1 Nemotron Ultra 253B v1 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 Llama 3.1 Nemotron Ultra 253B v1?

Key differences include LLM Stats Score (60.7 vs 19.3), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and Llama 3.1 Nemotron Ultra 253B v1?

GPT-6 Astra is developed by OpenAI and Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA.

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