The AI arena is free today

Open Superagent

GPT-5.3 Codex vs QwQ-32B

GPT-5.3 Codex leads the LLM Stats Score 36.5 to 14.8.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-5.3 Codex leads the overall LLM Stats Score 36.5 to 14.8, ranking #75 overall.

In the 1 individual benchmarks reported for both models, QwQ-32B 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-5.3 Codex

  • overall performance matters — it scores 36.5 and ranks #75 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Feb 2026

Choose QwQ-32B

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
36.5
#75
14.8
#232
37.2
#69
15.6
#223
29.9
#53
10.3
#164
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$1.75 / M
— / M
Output price
$14.00 / M
— / M
Context window
400,000

Individual benchmarks

6 reported for GPT-5.3 Codex · 7 for QwQ-32B

1 shared

GPT-5.3 Codex outperforms in 0 benchmarks, while QwQ-32B is better at 1 benchmark (LiveBench).

QwQ-32B significantly outperforms across most benchmarks.

Sun Sep 20 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-5.3 Codex specifies input context (400,000 tokens). Only GPT-5.3 Codex specifies output context (128,000 tokens).

OpenAI
GPT-5.3 Codex
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.3 Codex supports multimodal inputs, whereas QwQ-32B does not.

GPT-5.3 Codex can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.3 Codex

Text
Images
Audio
Video

QwQ-32B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.3 Codex 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-5.3 Codex

Proprietary

Closed source

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.3 Codex was released on 2026-02-05, while QwQ-32B was released on 2025-03-05.

GPT-5.3 Codex is 11 months newer than QwQ-32B.

GPT-5.3 Codex

Feb 5, 2026

7 months ago

11mo newer
QwQ-32B

Mar 5, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while GPT-5.3 Codex'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-5.3 Codex's cutoff date.

GPT-5.3 Codex

QwQ-32B

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5.3 Codex and QwQ-32B side-by-side, then vote on the output you prefer.

GPT-5.3 Codex
✓ Preferred
QwQ-32B
Open in Playground

FAQ

Common questions about GPT-5.3 Codex vs QwQ-32B.

Which is better, GPT-5.3 Codex or QwQ-32B?

GPT-5.3 Codex leads the LLM Stats Score 36.5 to 14.8. GPT-5.3 Codex is made by OpenAI and QwQ-32B 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-5.3 Codex compare to QwQ-32B in benchmarks?

GPT-5.3 Codex scores SWE-Lancer (IC-Diamond subset): 81.4%, Cybersecurity CTFs: 77.6%, Terminal-Bench 2.0: 77.3%, LiveBench: 72.8%, OSWorld-Verified: 64.7%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the context window sizes for GPT-5.3 Codex and QwQ-32B?

GPT-5.3 Codex 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.

What are the main differences between GPT-5.3 Codex and QwQ-32B?

Key differences include LLM Stats Score (36.5 vs 14.8), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.3 Codex and QwQ-32B?

GPT-5.3 Codex is developed by OpenAI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.