Model Comparison

GPT-5.1 Codex High vs Qwen3 VL 32B ThinkingWhich is better in 2026?

GPT-5.1 Codex High significantly outperforms across most benchmarks.

Verdict: GPT-5.1 Codex High vs Qwen3 VL 32B Thinking — which is better?

GPT-5.1 Codex High (by OpenAI) and Qwen3 VL 32B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT-5.1 Codex High outperforms in 1 benchmarks (AIME 2025), while Qwen3 VL 32B Thinking is better at 0 benchmarks. GPT-5.1 Codex High significantly outperforms across most benchmarks.

Choose GPT-5.1 Codex High if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Nov 2025

Choose Qwen3 VL 32B Thinking if…

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

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-5.1 Codex High outperforms in 1 benchmarks (AIME 2025), while Qwen3 VL 32B Thinking is better at 0 benchmarks.

GPT-5.1 Codex High significantly outperforms across most benchmarks.

Mon Jul 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5.1 Codex High specifies input context (400,000 tokens). Only GPT-5.1 Codex High specifies output context (128,000 tokens).

OpenAI
GPT-5.1 Codex High
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Mon Jul 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.1 Codex High and Qwen3 VL 32B Thinking support multimodal inputs.

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

GPT-5.1 Codex High

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 Codex High is licensed under a proprietary license, while Qwen3 VL 32B Thinking uses Apache 2.0.

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

GPT-5.1 Codex High

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.1 Codex High was released on 2025-11-12, while Qwen3 VL 32B Thinking was released on 2025-09-22.

GPT-5.1 Codex High is 2 months newer than Qwen3 VL 32B Thinking.

GPT-5.1 Codex High

Nov 12, 2025

8 months ago

1mo newer
Qwen3 VL 32B Thinking

Sep 22, 2025

9 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Higher AIME 2025 score (96.7% vs 83.7%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.1 Codex High and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

GPT-5.1 Codex High
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.1 Codex High
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking

FAQ

Common questions about GPT-5.1 Codex High vs Qwen3 VL 32B Thinking.

Which is better, GPT-5.1 Codex High or Qwen3 VL 32B Thinking?

GPT-5.1 Codex High significantly outperforms across most benchmarks. GPT-5.1 Codex High is made by OpenAI and Qwen3 VL 32B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.1 Codex High compare to Qwen3 VL 32B Thinking in benchmarks?

GPT-5.1 Codex High scores AIME 2025: 96.7%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the context window sizes for GPT-5.1 Codex High and Qwen3 VL 32B Thinking?

GPT-5.1 Codex High supports 400K tokens and Qwen3 VL 32B Thinking 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-5.1 Codex High and Qwen3 VL 32B Thinking?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.1 Codex High and Qwen3 VL 32B Thinking?

GPT-5.1 Codex High is developed by OpenAI and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.

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