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GPT-6 Astra vs QvQ-72B-Preview

GPT-6 Astra leads the LLM Stats Score 60.7 to 8.0.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to 8.0, ranking #1 overall.

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 — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose QvQ-72B-Preview

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

At a glance

The differences that matter most.

GPT-6 Astra
OpenAI
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
60.7
#1
8.0
#271
Reasoning
58.7
#1
8.3
#264
Cost, coverage & limits
Benchmark wins
—
—
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

3 shared
Index
GPT-6 Astra
QvQ-72B-Preview
Math
35.3#42
9.8#245
Vision
41.5#1
6.8#141
Multimodal
38.6#3
10.1#113
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 4 for QvQ-72B-Preview

No common benchmarks found

GPT-6 Astra and QvQ-72B-Previewdon'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 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
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Astra and QvQ-72B-Preview support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-6 Astra

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra is licensed under a proprietary license, while QvQ-72B-Preview uses Qwen.

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

GPT-6 Astra

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-03, while QvQ-72B-Preview was released on 2024-12-25.

GPT-6 Astra is 21 months newer than QvQ-72B-Preview.

GPT-6 Astra

Sep 3, 2026

0 days ago

1.7yr newer
QvQ-72B-Preview

Dec 25, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while QvQ-72B-Preview's cutoff date is not specified.

We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without QvQ-72B-Preview's cutoff date.

GPT-6 Astra

Apr 2026

QvQ-72B-Preview

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Astra and QvQ-72B-Preview side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
QvQ-72B-Preview
Open in Playground

FAQ

Common questions about GPT-6 Astra vs QvQ-72B-Preview.

Which is better, GPT-6 Astra or QvQ-72B-Preview?

GPT-6 Astra leads the LLM Stats Score 60.7 to 8.0. GPT-6 Astra is made by OpenAI and QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team. 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 QvQ-72B-Preview 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%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for GPT-6 Astra and QvQ-72B-Preview?

GPT-6 Astra supports 1.1M tokens and QvQ-72B-Preview 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 QvQ-72B-Preview?

Key differences include LLM Stats Score (60.7 vs 8.0), licensing (Proprietary vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and QvQ-72B-Preview?

GPT-6 Astra is developed by OpenAI and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.

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