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GPT-5.1 Codex High vs Qwen3 VL 32B Instruct

GPT-5.1 Codex High leads the LLM Stats Score 29.4 to 20.3.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-5.1 Codex High leads the overall LLM Stats Score 29.4 to 20.3, ranking #132 overall.

In the 1 individual benchmarks reported for both models, GPT-5.1 Codex High 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-5.1 Codex High

  • overall performance matters — it scores 29.4 and ranks #132 on LLM Stats
  • your work emphasizes reasoning — 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 Nov 2025

Choose Qwen3 VL 32B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
29.4
#132
20.3
#198
29.2
#125
19.2
#204
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$1.25 / M
— / M
Output price
$10.00 / M
— / M
Context window
400,000

Individual benchmarks

1 reported for GPT-5.1 Codex High · 45 for Qwen3 VL 32B Instruct

1 shared

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

GPT-5.1 Codex High significantly outperforms across most benchmarks.

Tue Sep 22 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-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 Instruct
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.1 Codex High and Qwen3 VL 32B Instruct 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 Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 Codex High 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-5.1 Codex High

Proprietary

Closed source

Qwen3 VL 32B Instruct

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 Instruct was released on 2025-09-22.

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

GPT-5.1 Codex High

Nov 12, 2025

10 months ago

1mo newer
Qwen3 VL 32B Instruct

Sep 22, 2025

12 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

Judge for yourself.

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

GPT-5.1 Codex High
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground

FAQ

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

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

GPT-5.1 Codex High leads the LLM Stats Score 29.4 to 20.3. GPT-5.1 Codex High 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-5.1 Codex High compare to Qwen3 VL 32B Instruct in benchmarks?

GPT-5.1 Codex High scores AIME 2025: 96.7%. 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-5.1 Codex High and Qwen3 VL 32B Instruct?

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

Key differences include LLM Stats Score (29.4 vs 20.3), 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 Instruct?

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