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GPT-6 Astra vs Qwen2.5 32B Instruct

GPT-6 Astra leads the LLM Stats Score 60.7 to 7.8.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to 7.8, 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 Qwen2.5 32B Instruct

  • 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
7.8
#273
58.7
#1
7.3
#271
49.0
#1
9.5
#164
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
Qwen2.5 32B Instruct
35.3#42
16.7#195
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 18 for Qwen2.5 32B Instruct

1 shared

GPT-6 Astra outperforms in 1 benchmarks (GPQA), while Qwen2.5 32B Instruct is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Fri Sep 04 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
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Astra supports multimodal inputs, whereas Qwen2.5 32B Instruct 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

Qwen2.5 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra is licensed under a proprietary license, while Qwen2.5 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

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-03, while Qwen2.5 32B Instruct was released on 2024-09-19.

GPT-6 Astra is 24 months newer than Qwen2.5 32B Instruct.

GPT-6 Astra

Sep 3, 2026

0 days ago

2.0yr newer
Qwen2.5 32B Instruct

Sep 19, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Qwen2.5 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 Qwen2.5 32B Instruct's cutoff date.

GPT-6 Astra

Apr 2026

Qwen2.5 32B Instruct

Outputs Comparison

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Judge for yourself.

Run your own prompts against GPT-6 Astra and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
Qwen2.5 32B Instruct
Open in Playground

FAQ

Common questions about GPT-6 Astra vs Qwen2.5 32B Instruct.

Which is better, GPT-6 Astra or Qwen2.5 32B Instruct?

GPT-6 Astra leads the LLM Stats Score 60.7 to 7.8. GPT-6 Astra is made by OpenAI and Qwen2.5 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 Qwen2.5 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%. Qwen2.5 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%.

What are the context window sizes for GPT-6 Astra and Qwen2.5 32B Instruct?

GPT-6 Astra supports 1.1M tokens and Qwen2.5 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 Qwen2.5 32B Instruct?

Key differences include LLM Stats Score (60.7 vs 7.8), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and Qwen2.5 32B Instruct?

GPT-6 Astra is developed by OpenAI and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.