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GPT-5.2 vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next leads the LLM Stats Score 48.1 to 41.0.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8-Flash-Next leads the overall LLM Stats Score 48.1 to 41.0, ranking #31 overall.

In the 4 individual benchmarks reported for both models, Qwen3.8-Flash-Next 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

  • you want predictable pricing at $1.75/M input and $14.00/M output

Choose Qwen3.8-Flash-Next

  • overall performance matters — it scores 48.1 and ranks #31 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
41.0
#70
48.1
#31
40.5
#67
48.5
#20
23.3
#93
33.2
#42
14.4
#113
32.8
#35
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
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

4 shared
Index
GPT-5.2
Qwen3.8-Flash-Next
37.8#29
32.8#62
28.0#45
34.0#18
17.8#86
30.0#11
31.0#35
35.3#12
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

24 reported for GPT-5.2 · 22 for Qwen3.8-Flash-Next

4 shared

GPT-5.2 outperforms in 1 benchmarks (GPQA), while Qwen3.8-Flash-Next is better at 3 benchmarks (CharXiv-R, Humanity's Last Exam, Toolathlon).

Qwen3.8-Flash-Next shows notably better performance in the majority of benchmarks.

Fri Oct 23 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
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.2 and Qwen3.8-Flash-Next support multimodal inputs.

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

GPT-5.2

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.2 is licensed under a proprietary license, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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

GPT-5.2

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 9 months newer than GPT-5.2.

GPT-5.2

Dec 11, 2025

10 months ago

Qwen3.8-Flash-Next

Aug 26, 2026

1 months ago

8mo newer

Knowledge Cutoff

When training data ends

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while Qwen3.8-Flash-Next'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 Qwen3.8-Flash-Next's cutoff date.

GPT-5.2

Aug 2025

Qwen3.8-Flash-Next

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5.2 and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

GPT-5.2
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about GPT-5.2 vs Qwen3.8-Flash-Next.

Which is better, GPT-5.2 or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next leads the LLM Stats Score 48.1 to 41.0. GPT-5.2 is made by OpenAI and Qwen3.8-Flash-Next 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 Qwen3.8-Flash-Next 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%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for GPT-5.2 and Qwen3.8-Flash-Next?

GPT-5.2 supports 400K tokens and Qwen3.8-Flash-Next 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 Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (41.0 vs 48.1), licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.2 and Qwen3.8-Flash-Next?

GPT-5.2 is developed by OpenAI and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.