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GPT-5.2 vs Qwen3.5-4B

GPT-5.2 leads the LLM Stats Score 41.6 to 19.4.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-5.2 leads the overall LLM Stats Score 41.6 to 19.4, ranking #48 overall.

In the 3 individual benchmarks reported for both models, GPT-5.2 wins 3; 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-5.2

  • overall performance matters — it scores 41.6 and ranks #48 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

Choose Qwen3.5-4B

  • you want the most recent training data — it shipped Mar 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
41.6
#48
19.4
#194
41.0
#47
19.8
#186
15.0
#81
4.0
#149
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$1.75 / M
— / M
Output price
$14.00 / M
— / M
Context window
400,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-5.2
Qwen3.5-4B
37.7#29
19.9#154
19.8#57
6.1#140
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

24 reported for GPT-5.2 · 25 for Qwen3.5-4B

3 shared

GPT-5.2 outperforms in 3 benchmarks (GPQA, HMMT 2025, MMMLU), while Qwen3.5-4B is better at 0 benchmarks.

GPT-5.2 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-5.2 specifies input context (400,000 tokens). Only GPT-5.2 specifies output context (128,000 tokens).

OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-4B
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.2 and Qwen3.5-4B support multimodal inputs.

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

GPT-5.2

Text
Images
Audio
Video

Qwen3.5-4B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.2 is licensed under a proprietary license, while Qwen3.5-4B uses Apache 2.0.

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

GPT-5.2

Proprietary

Closed source

Qwen3.5-4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while Qwen3.5-4B was released on 2026-03-02.

Qwen3.5-4B is 3 months newer than GPT-5.2.

GPT-5.2

Dec 11, 2025

8 months ago

Qwen3.5-4B

Mar 2, 2026

6 months ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while Qwen3.5-4B's cutoff date is not specified.

We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without Qwen3.5-4B's cutoff date.

GPT-5.2

Aug 2025

Qwen3.5-4B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5.2 and Qwen3.5-4B side-by-side, then vote on the output you prefer.

GPT-5.2
✓ Preferred
Qwen3.5-4B
Open in Playground

FAQ

Common questions about GPT-5.2 vs Qwen3.5-4B.

Which is better, GPT-5.2 or Qwen3.5-4B?

GPT-5.2 leads the LLM Stats Score 41.6 to 19.4. GPT-5.2 is made by OpenAI and Qwen3.5-4B 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-5.2 compare to Qwen3.5-4B in benchmarks?

GPT-5.2 scores AIME 2025: 100.0%, HMMT 2025: 99.4%, Tau2 Telecom: 98.7%, Graphwalks BFS <128k: 94.0%, GPQA: 92.4%. Qwen3.5-4B scores IFEval: 89.8%, MMLU-Redux: 88.8%, C-Eval: 85.1%, t2-bench: 79.9%, MMLU-Pro: 79.1%.

What are the context window sizes for GPT-5.2 and Qwen3.5-4B?

GPT-5.2 supports 400K tokens and Qwen3.5-4B 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-5.2 and Qwen3.5-4B?

Key differences include LLM Stats Score (41.6 vs 19.4), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.2 and Qwen3.5-4B?

GPT-5.2 is developed by OpenAI and Qwen3.5-4B is developed by Alibaba Cloud / Qwen Team.