Model Comparison

GPT-5.1 Codex Mini vs QwQ-32B

Comparing GPT-5.1 Codex Mini and QwQ-32B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.1 Codex Mini and QwQ-32B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
OpenAI
GPT-5.1 Codex Mini
Input tokens$0.25
Output tokens$2.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
QwQ-32B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

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

OpenAI
GPT-5.1 Codex Mini
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.1 Codex Mini supports multimodal inputs, whereas QwQ-32B does not.

GPT-5.1 Codex Mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.1 Codex Mini

Text
Images
Audio
Video

QwQ-32B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 Codex Mini is licensed under a proprietary license, while QwQ-32B uses Apache 2.0.

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

GPT-5.1 Codex Mini

Proprietary

Closed source

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.1 Codex Mini was released on 2025-11-12, while QwQ-32B was released on 2025-03-05.

GPT-5.1 Codex Mini is 8 months newer than QwQ-32B.

GPT-5.1 Codex Mini

Nov 12, 2025

5 months ago

8mo newer
QwQ-32B

Mar 5, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while GPT-5.1 Codex Mini's cutoff date is not specified.

We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without GPT-5.1 Codex Mini's cutoff date.

GPT-5.1 Codex Mini

—

QwQ-32B

Nov 2024

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Alibaba Cloud / Qwen Team

QwQ-32B

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.1 Codex Mini
Alibaba Cloud / Qwen Team
QwQ-32B

FAQ

Common questions about GPT-5.1 Codex Mini vs QwQ-32B

GPT-5.1 Codex Mini (OpenAI) and QwQ-32B (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
GPT-5.1 Codex Mini scores AIME 2025: 42.1%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.
GPT-5.1 Codex Mini supports 400K tokens and QwQ-32B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GPT-5.1 Codex Mini is developed by OpenAI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.