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Qwen3.7-Plus vs Qwen3.8-27B

Qwen3.8-27B shows notably better performance in the majority of benchmarks.

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

Which is better?

Qwen3.7-Plus outperforms in 5 benchmarks (ERQA, GPQA, Humanity's Last Exam, OmniDocBench 1.5, RealWorldQA), while Qwen3.8-27B is better at 11 benchmarks (AndroidWorld, BabyVision, CharXiv-R, ClawEval-MM, CoWorkBench, IFBench, LiveCodeBench v6, MathVision, NL2Repo, OSWorld-Verified, SWE-Bench Pro). Qwen3.8-27B shows notably better performance in the majority of benchmarks.

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

Choose Qwen3.7-Plus

  • you want predictable pricing at $0.32/M input and $1.28/M output

Choose Qwen3.8-27B

  • you want the strongest raw capability — it leads on 11 of 16 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.

Qwen3.7-Plus
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Alibaba Cloud / Qwen Team
Benchmark wins
5 of 16
11 of 16
Input price
$0.32 / M
— / M
Output price
$1.28 / M
— / M
Context window
1,000,000
—
Released
May 2026
Aug 2026
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

16 benchmarks

Qwen3.7-Plus outperforms in 5 benchmarks (ERQA, GPQA, Humanity's Last Exam, OmniDocBench 1.5, RealWorldQA), while Qwen3.8-27B is better at 11 benchmarks (AndroidWorld, BabyVision, CharXiv-R, ClawEval-MM, CoWorkBench, IFBench, LiveCodeBench v6, MathVision, NL2Repo, OSWorld-Verified, SWE-Bench Pro).

Qwen3.8-27B shows notably better performance in the majority of benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only Qwen3.7-Plus specifies input context (1,000,000 tokens). Only Qwen3.7-Plus specifies output context (65,536 tokens).

Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input1,000,000 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.7-Plus and Qwen3.8-27B support multimodal inputs.

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

Qwen3.7-Plus

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.7-Plus is licensed under a proprietary license, while Qwen3.8-27B uses Apache 2.0.

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

Qwen3.7-Plus

Proprietary

Closed source

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3.7-Plus was released on 2026-05-31, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 3 months newer than Qwen3.7-Plus.

Qwen3.7-Plus

May 31, 2026

2 months ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

2mo 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 Qwen3.7-Plus and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Qwen3.7-Plus
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Qwen3.7-Plus vs Qwen3.8-27B.

Which is better, Qwen3.7-Plus or Qwen3.8-27B?

Qwen3.8-27B shows notably better performance in the majority of benchmarks. Qwen3.7-Plus is made by Alibaba Cloud / Qwen Team and Qwen3.8-27B 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 Qwen3.7-Plus compare to Qwen3.8-27B in benchmarks?

Qwen3.7-Plus scores IFEval: 94.6%, MMLU-Redux: 94.5%, HMMT Feb 26: 92.9%, MRCR v2: 91.7%, OmniDocBench 1.5: 91.4%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for Qwen3.7-Plus and Qwen3.8-27B?

Qwen3.7-Plus supports 1.0M tokens and Qwen3.8-27B 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 Qwen3.7-Plus and Qwen3.8-27B?

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

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