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Qwen3.7-Plus vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 43.3.

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

Which is better?

Qwen3.8-Flash-Next leads the overall LLM Stats Score 50.5 to 43.3, ranking #14 overall.

In the 15 individual benchmarks reported for both models, Qwen3.8-Flash-Next wins 15; 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 Qwen3.7-Plus

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

Choose Qwen3.8-Flash-Next

  • overall performance matters — it scores 50.5 and ranks #14 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 15 of 15 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.

Qwen3.7-Plus
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
43.3
#36
50.5
#14
Reasoning
43.6
#33
50.6
#12
Coding
32.5
#41
38.4
#19
Agents
26.1
#39
37.2
#12
Cost, coverage & limits
Benchmark wins
0 of 15
15 of 15
Input price
$0.32 / M
— / M
Output price
$1.28 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

5 shared
Index
Qwen3.7-Plus
Qwen3.8-Flash-Next
Math
39.7#17
33.3#50
Vision
32.8#17
34.6#11
Tool use
24.3#33
32.3#8
Multimodal
35.2#9
35.3#8
Productivity
-2.8#10
20.6#1
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

70 reported for Qwen3.7-Plus · 22 for Qwen3.8-Flash-Next

15 shared

Qwen3.7-Plus outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 15 benchmarks (AndroidWorld, CharXiv-R, ClawEval-MM, CoWorkBench, ERQA, GPQA, Humanity's Last Exam, IFBench, LiveCodeBench v6, LVBench, MathVision, NL2Repo, RealWorldQA, SWE-bench Multilingual, SWE-Bench Pro).

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

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground 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-Flash-Next
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Qwen3.7-Plus and Qwen3.8-Flash-Next 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-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.7-Plus 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.

Qwen3.7-Plus

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Qwen3.7-Plus was released on 2026-05-31, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 3 months newer than Qwen3.7-Plus.

Qwen3.7-Plus

May 31, 2026

2 months ago

Qwen3.8-Flash-Next

Aug 26, 2026

2 days 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-Flash-Next side-by-side, then vote on the output you prefer.

Qwen3.7-Plus
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Qwen3.7-Plus vs Qwen3.8-Flash-Next.

Which is better, Qwen3.7-Plus or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 43.3. Qwen3.7-Plus 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 capability indexes, individual benchmarks, pricing, and limits above.

How does Qwen3.7-Plus compare to Qwen3.8-Flash-Next 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-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 Qwen3.7-Plus and Qwen3.8-Flash-Next?

Qwen3.7-Plus supports 1.0M 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 Qwen3.7-Plus and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (43.3 vs 50.5), licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

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