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

GPT-6 Astra leads the LLM Stats Score 59.6 to 49.1.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 59.6 to 49.1, ranking #1 overall.

In the 4 individual benchmarks reported for both models, GPT-6 Astra wins 4; 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 Astra

  • overall performance matters — it scores 59.6 and ranks #1 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 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.

Core performance indexes
59.6
#1
49.1
#20
57.5
#1
48.9
#19
48.5
#1
36.1
#23
45.7
#1
35.1
#20
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$10.00 / M
— / M
Output price
$50.00 / M
— / M
Context window
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
GPT-6 Astra
Qwen3.8-Flash-Next
36.0#42
32.7#56
41.8#2
34.1#14
35.6#1
31.1#11
39.0#2
36.1#9
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

4 shared

GPT-6 Astra outperforms in 4 benchmarks (Agents' Last Exam, DeepSWE 1.1, GPQA, OSWorld 2.0), while Qwen3.8-Flash-Next is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Sun Sep 20 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 Astra specifies input context (1,050,000 tokens). Only GPT-6 Astra specifies output context (128,000 tokens).

OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

GPT-6 Astra

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra 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 Astra

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while Qwen3.8-Flash-Next was released on 2026-08-26.

GPT-6 Astra is 0 month newer than Qwen3.8-Flash-Next.

GPT-6 Astra

Sep 4, 2026

2 weeks ago

1w newer
Qwen3.8-Flash-Next

Aug 26, 2026

3 weeks ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Qwen3.8-Flash-Next's cutoff date is not specified.

We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without Qwen3.8-Flash-Next's cutoff date.

GPT-6 Astra

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

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

FAQ

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

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

GPT-6 Astra leads the LLM Stats Score 59.6 to 49.1. GPT-6 Astra 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 Astra compare to Qwen3.8-Flash-Next in benchmarks?

GPT-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%. 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 Astra and Qwen3.8-Flash-Next?

GPT-6 Astra 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 Astra and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (59.6 vs 49.1), licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

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

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