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GPT-6 Luna vs Qwen3.8-Flash-Next

GPT-6 Luna and Qwen3.8-Flash-Next are closely matched at 44.5 and 48.8 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6 Luna and Qwen3.8-Flash-Next are closely matched on the overall LLM Stats Score at 44.5 and 48.8.

In the 3 individual benchmarks reported for both models, GPT-6 Luna 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 GPT-6 Luna

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3.8-Flash-Next

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-6 Luna
OpenAI
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
44.5
#41
48.8
#23
Reasoning
40.0
#58
48.6
#18
Coding
31.4
#47
35.3
#28
Agents
31.8
#30
34.3
#24
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6 Luna
Qwen3.8-Flash-Next
Tool use
22.1#47
29.1#12
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-6 Luna · 22 for Qwen3.8-Flash-Next

3 shared

GPT-6 Luna outperforms in 2 benchmarks (DeepSWE 1.1, OSWorld 2.0), while Qwen3.8-Flash-Next is better at 1 benchmark (Agents' Last Exam).

GPT-6 Luna shows notably better performance in the majority of benchmarks.

Wed Sep 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Luna specifies input context (1,050,000 tokens). Only GPT-6 Luna specifies output context (128,000 tokens).

OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Luna and Qwen3.8-Flash-Next support multimodal inputs.

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

GPT-6 Luna

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Luna 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.

GPT-6 Luna

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while Qwen3.8-Flash-Next was released on 2026-08-26.

GPT-6 Luna is 1 month newer than Qwen3.8-Flash-Next.

GPT-6 Luna

Sep 22, 2026

0 days ago

3w newer
Qwen3.8-Flash-Next

Aug 26, 2026

3 weeks ago

Knowledge Cutoff

When training data ends

GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while Qwen3.8-Flash-Next's cutoff date is not specified.

We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without Qwen3.8-Flash-Next's cutoff date.

GPT-6 Luna

May 2026

Qwen3.8-Flash-Next

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Luna and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about GPT-6 Luna vs Qwen3.8-Flash-Next.

Which is better, GPT-6 Luna or Qwen3.8-Flash-Next?

GPT-6 Luna and Qwen3.8-Flash-Next are closely matched on the LLM Stats Score at 44.5 and 48.8. GPT-6 Luna is made by OpenAI 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 GPT-6 Luna compare to Qwen3.8-Flash-Next in benchmarks?

GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%. 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 GPT-6 Luna and Qwen3.8-Flash-Next?

GPT-6 Luna supports 1.1M 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 GPT-6 Luna and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (44.5 vs 48.8), licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Luna and Qwen3.8-Flash-Next?

GPT-6 Luna is developed by OpenAI and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.

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