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GPT-5 nano vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-5 nano outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 2 benchmarks (GPQA, Humanity's Last Exam). Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GPT-5 nano

  • you want predictable pricing at $0.05/M input and $0.40/M output

Choose Qwen3.8-Flash-Next

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • 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.

Benchmark wins
0 of 2
2 of 2
Input price
$0.05 / M
— / M
Output price
$0.40 / M
— / M
Context window
400,000
Released
Aug 2025
Aug 2026
License
Proprietary
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-5 nano outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 2 benchmarks (GPQA, Humanity's Last Exam).

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only GPT-5 nano specifies input context (400,000 tokens). Only GPT-5 nano specifies output context (128,000 tokens).

OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5 nano and Qwen3.8-Flash-Next support multimodal inputs.

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

GPT-5 nano

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 nano 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 nano

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

GPT-5 nano was released on 2025-08-07, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 13 months newer than GPT-5 nano.

GPT-5 nano

Aug 7, 2025

1.1 years ago

Qwen3.8-Flash-Next

Aug 26, 2026

0 days ago

1.1yr newer

Knowledge Cutoff

When training data ends

GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Qwen3.8-Flash-Next's cutoff date is not specified.

We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without Qwen3.8-Flash-Next's cutoff date.

GPT-5 nano

May 2024

Qwen3.8-Flash-Next

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5 nano and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

GPT-5 nano
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about GPT-5 nano vs Qwen3.8-Flash-Next.

Which is better, GPT-5 nano or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next significantly outperforms across most benchmarks. GPT-5 nano 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 benchmark scores, pricing, and capabilities above.

How does GPT-5 nano compare to Qwen3.8-Flash-Next in benchmarks?

GPT-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%. 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 nano and Qwen3.8-Flash-Next?

GPT-5 nano 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 nano and Qwen3.8-Flash-Next?

Key differences include licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 nano and Qwen3.8-Flash-Next?

GPT-5 nano is developed by OpenAI and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.