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Qwen3.8-Flash-Next vs Qwen3.8 Max

Qwen3.8-Flash-Next and Qwen3.8 Max are closely matched at 49.1 and 52.0 on the LLM Stats Score.

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

Which is better?

Qwen3.8-Flash-Next and Qwen3.8 Max are closely matched on the overall LLM Stats Score at 49.1 and 52.0.

In the 15 individual benchmarks reported for both models, Qwen3.8 Max wins 11; 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 Qwen3.8-Flash-Next

  • you want the most recent training data — it shipped Aug 2026

Choose Qwen3.8 Max

  • you value its reported benchmark strengths — it wins 11 of 15 exact shared results

At a glance

The differences that matter most.

Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
49.1
#20
52.0
#11
Reasoning
48.9
#19
50.6
#11
Coding
36.1
#23
39.8
#13
Agents
35.1
#20
37.9
#12
Cost, coverage & limits
Benchmark wins
4 of 15
11 of 15
Input price
— / M
$1.65 / M
Output price
— / M
$4.95 / M
Context window
—
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

5 shared
Index
Qwen3.8-Flash-Next
Qwen3.8 Max
Math
32.7#56
33.8#52
Vision
34.1#14
37.7#5
Tool use
31.1#11
31.8#8
Multimodal
36.1#9
39.4#1
Productivity
15.3#2
14.8#5
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Qwen3.8-Flash-Next · 42 for Qwen3.8 Max

15 shared

Qwen3.8-Flash-Next outperforms in 4 benchmarks (DeepSWE 1.1, Job Bench, RealWorldQA, Toolathlon), while Qwen3.8 Max is better at 11 benchmarks (Agents' Last Exam, AndroidWorld, CoWorkBench, ERQA, GPQA, Humanity's Last Exam, IFBench, LVBench, NL2Repo, SWE-Bench Pro, Vision2Web).

Qwen3.8 Max shows notably better performance in the majority of benchmarks.

Thu Sep 17 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

2275.0B diff

Qwen3.8 Max has 2275.0B more parameters than Qwen3.8-Flash-Next, making it 1820.0% larger.

Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
125.0B
Qwen3.8-Flash-Next
2400.0B
Qwen3.8 Max

Context Window

Maximum input and output token capacity

Only Qwen3.8 Max specifies input context (256,000 tokens). Only Qwen3.8 Max specifies output context (256,000 tokens).

Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input256,000 tokens
Output256,000 tokens
Thu Sep 17 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Qwen3.8-Flash-Next and Qwen3.8 Max support multimodal inputs.

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

Qwen3.8-Flash-Next

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.8-Flash-Next is licensed under Qwen Community License 1.0, while Qwen3.8 Max uses Qwen3.8-Max License.

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

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Qwen3.8 Max

Qwen3.8-Max License

Open weights

Release Timeline

When each model was launched

Qwen3.8-Flash-Next was released on 2026-08-26, while Qwen3.8 Max was released on 2026-08-02.

Qwen3.8-Flash-Next is 1 month newer than Qwen3.8 Max.

Qwen3.8-Flash-Next

Aug 26, 2026

3 weeks ago

3w newer
Qwen3.8 Max

Aug 2, 2026

1 months ago

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-Flash-Next and Qwen3.8 Max side-by-side, then vote on the output you prefer.

Qwen3.8-Flash-Next
✓ Preferred
Qwen3.8 Max
Open in Playground

FAQ

Common questions about Qwen3.8-Flash-Next vs Qwen3.8 Max.

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

Qwen3.8-Flash-Next and Qwen3.8 Max are closely matched on the LLM Stats Score at 49.1 and 52.0. Qwen3.8-Flash-Next is made by Alibaba Cloud / Qwen Team and Qwen3.8 Max 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 Qwen3.8-Flash-Next compare to Qwen3.8 Max in benchmarks?

Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%. Qwen3.8 Max scores PaperBench: 93.0%, MRCR v2 (8-needle): 92.9%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%.

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

Qwen3.8-Flash-Next supports an unknown number of tokens and Qwen3.8 Max supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3.8-Flash-Next and Qwen3.8 Max?

Key differences include LLM Stats Score (49.1 vs 52.0), licensing (Qwen Community License 1.0 vs Qwen3.8-Max License). See the full comparison above for benchmark-by-benchmark results.

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