The AI arena is free today

Open Superagent

Qwen3.8-27B vs Qwen3.8-Flash-Next

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

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8-27B outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 18 benchmarks (Agents' Last Exam, AndroidWorld, CharXiv-R, ClawEval-MM, CoWorkBench, DeepSWE 1.1, ERQA, GPQA, Humanity's Last Exam, IFBench, Job Bench, LiveCodeBench v6, MathVision, NL2Repo, RealWorldQA, RecreationBench, SWE-Bench Pro, Vision2Web). Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

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

Choose Qwen3.8-27B

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Choose Qwen3.8-Flash-Next

  • you want the strongest raw capability — it leads on 18 of 18 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
0 of 18
18 of 18
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Aug 2026
Aug 2026
License
Apache 2.0
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

18 benchmarks

Qwen3.8-27B outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 18 benchmarks (Agents' Last Exam, AndroidWorld, CharXiv-R, ClawEval-MM, CoWorkBench, DeepSWE 1.1, ERQA, GPQA, Humanity's Last Exam, IFBench, Job Bench, LiveCodeBench v6, MathVision, NL2Repo, RealWorldQA, RecreationBench, SWE-Bench Pro, Vision2Web).

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

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

152.2B diff

Qwen3.8-Flash-Next has 152.2B more parameters than Qwen3.8-27B, making it 547.9% larger.

Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
180.0Bparameters
27.8B
Qwen3.8-27B
180.0B
Qwen3.8-Flash-Next

Input Capabilities

Supported data types and modalities

Both Qwen3.8-27B and Qwen3.8-Flash-Next support multimodal inputs.

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

Qwen3.8-27B

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.8-27B is licensed under Apache 2.0, 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.

Qwen3.8-27B

Apache 2.0

Open weights

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Qwen3.8-27B was released on 2026-08-14, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 0 month newer than Qwen3.8-27B.

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

Qwen3.8-Flash-Next

Aug 26, 2026

0 days ago

1w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Qwen3.8-27B and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Qwen3.8-27B
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Qwen3.8-27B vs Qwen3.8-Flash-Next.

Which is better, Qwen3.8-27B or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next significantly outperforms across most benchmarks. Qwen3.8-27B is made by Alibaba Cloud / Qwen Team 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 Qwen3.8-27B compare to Qwen3.8-Flash-Next in benchmarks?

Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%. 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 main differences between Qwen3.8-27B and Qwen3.8-Flash-Next?

Key differences include licensing (Apache 2.0 vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.