The AI arena is free today

Open Superagent

GPT-6 Astra vs Qwen3 VL 32B Instruct

GPT-6 Astra leads the LLM Stats Score 59.9 to 20.3.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 59.9 to 20.3, ranking #1 overall.

In the 2 individual benchmarks reported for both models, GPT-6 Astra wins 2; 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 59.9 and ranks #1 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3 VL 32B Instruct

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

At a glance

The differences that matter most.

GPT-6 Astra
OpenAI
Qwen3 VL 32B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
59.9
#1
20.3
#194
Reasoning
57.9
#1
19.2
#200
Agents
46.4
#1
9.6
#122
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
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
Qwen3 VL 32B Instruct
Math
36.0#42
19.5#167
Vision
41.8#2
14.9#90
Multimodal
39.0#2
17.4#77
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 45 for Qwen3 VL 32B Instruct

2 shared

GPT-6 Astra outperforms in 2 benchmarks (GPQA, ScreenSpot Pro), while Qwen3 VL 32B Instruct is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Mon Sep 14 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
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Astra and Qwen3 VL 32B Instruct support multimodal inputs.

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

GPT-6 Astra

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra is licensed under a proprietary license, while Qwen3 VL 32B Instruct uses Apache 2.0.

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

GPT-6 Astra

Proprietary

Closed source

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while Qwen3 VL 32B Instruct was released on 2025-09-22.

GPT-6 Astra is 12 months newer than Qwen3 VL 32B Instruct.

GPT-6 Astra

Sep 4, 2026

1 weeks ago

11mo newer
Qwen3 VL 32B Instruct

Sep 22, 2025

11 months ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Qwen3 VL 32B Instruct'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 Qwen3 VL 32B Instruct's cutoff date.

GPT-6 Astra

Apr 2026

Qwen3 VL 32B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Astra and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground

FAQ

Common questions about GPT-6 Astra vs Qwen3 VL 32B Instruct.

Which is better, GPT-6 Astra or Qwen3 VL 32B Instruct?

GPT-6 Astra leads the LLM Stats Score 59.9 to 20.3. GPT-6 Astra is made by OpenAI and Qwen3 VL 32B Instruct 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 Qwen3 VL 32B Instruct 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%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for GPT-6 Astra and Qwen3 VL 32B Instruct?

GPT-6 Astra supports 1.1M tokens and Qwen3 VL 32B Instruct 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 Qwen3 VL 32B Instruct?

Key differences include LLM Stats Score (59.9 vs 20.3), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and Qwen3 VL 32B Instruct?

GPT-6 Astra is developed by OpenAI and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.

Related comparisons