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Claude Sonnet 4.6 vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 37.5.

Anthropic · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8-Flash-Next leads the overall LLM Stats Score 50.5 to 37.5, ranking #14 overall.

In the 3 individual benchmarks reported for both models, Qwen3.8-Flash-Next wins 2; 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 Claude Sonnet 4.6

  • you want predictable pricing at $3.00/M input and $15.00/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 2 of 3 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.

Claude Sonnet 4.6
Anthropic
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
37.5
#57
50.5
#14
Reasoning
38.5
#54
50.6
#12
Coding
27.6
#53
38.4
#19
Agents
26.1
#40
37.2
#12
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
200,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
Claude Sonnet 4.6
Qwen3.8-Flash-Next
Math
34.4#44
33.3#50
Vision
25.4#40
34.6#11
Tool use
22.1#44
32.3#8
Multimodal
19.7#63
35.3#8
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for Claude Sonnet 4.6 · 22 for Qwen3.8-Flash-Next

3 shared

Claude Sonnet 4.6 outperforms in 1 benchmarks (Humanity's Last Exam), while Qwen3.8-Flash-Next is better at 2 benchmarks (DeepSWE 1.1, GPQA).

Qwen3.8-Flash-Next shows notably better performance in the majority of benchmarks.

Sun Aug 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Claude Sonnet 4.6 specifies input context (200,000 tokens). Only Claude Sonnet 4.6 specifies output context (64,000 tokens).

Anthropic
Claude Sonnet 4.6
Input200,000 tokens
Output64,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Sun Aug 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Sonnet 4.6 and Qwen3.8-Flash-Next support multimodal inputs.

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

Claude Sonnet 4.6

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Sonnet 4.6 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.

Claude Sonnet 4.6

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Claude Sonnet 4.6 was released on 2026-02-17, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 6 months newer than Claude Sonnet 4.6.

Claude Sonnet 4.6

Feb 17, 2026

6 months ago

Qwen3.8-Flash-Next

Aug 26, 2026

4 days ago

6mo 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 Claude Sonnet 4.6 and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Claude Sonnet 4.6
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Claude Sonnet 4.6 vs Qwen3.8-Flash-Next.

Which is better, Claude Sonnet 4.6 or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 37.5. Claude Sonnet 4.6 is made by Anthropic 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 Claude Sonnet 4.6 compare to Qwen3.8-Flash-Next in benchmarks?

Claude Sonnet 4.6 scores Tau2 Telecom: 97.9%, Tau2 Retail: 91.7%, GPQA: 89.9%, MMMLU: 89.3%, SWE-Bench Verified: 79.6%. 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 Claude Sonnet 4.6 and Qwen3.8-Flash-Next?

Claude Sonnet 4.6 supports 200K 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 Claude Sonnet 4.6 and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (37.5 vs 50.5), licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Sonnet 4.6 and Qwen3.8-Flash-Next?

Claude Sonnet 4.6 is developed by Anthropic and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.

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