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Grok 4.7 vs Qwen3.8-Flash-Next

Grok 4.7 and Qwen3.8-Flash-Next are closely matched at 48.5 and 49.0 on the LLM Stats Score.

xAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Grok 4.7 and Qwen3.8-Flash-Next are closely matched on the overall LLM Stats Score at 48.5 and 49.0.

In the 1 individual benchmarks reported for both models, Grok 4.7 wins 1; 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 Grok 4.7

  • you value its reported benchmark strengths — it wins 1 of 1 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.

Grok 4.7
xAI
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
48.5
#23
49.0
#21
Reasoning
37.4
#69
48.9
#16
Coding
40.1
#13
35.8
#26
Agents
36.1
#19
34.9
#23
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$2.00 / M
— / M
Output price
$6.00 / M
— / M
Context window
500,000
—

Individual benchmarks

23 reported for Grok 4.7 · 22 for Qwen3.8-Flash-Next

1 shared

Grok 4.7 outperforms in 1 benchmarks (DeepSWE 1.1), while Qwen3.8-Flash-Next is better at 0 benchmarks.

Grok 4.7 significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Grok 4.7 specifies input context (500,000 tokens).

xAI
Grok 4.7
Input500,000 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Grok 4.7 and Qwen3.8-Flash-Next support multimodal inputs.

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

Grok 4.7

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Grok 4.7 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.

Grok 4.7

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Grok 4.7 was released on 2026-09-21, while Qwen3.8-Flash-Next was released on 2026-08-26.

Grok 4.7 is 1 month newer than Qwen3.8-Flash-Next.

Grok 4.7

Sep 21, 2026

1 days ago

3w newer
Qwen3.8-Flash-Next

Aug 26, 2026

3 weeks ago

Knowledge Cutoff

When training data ends

Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while Qwen3.8-Flash-Next's cutoff date is not specified.

We can confirm Grok 4.7's training data extends to 2026-06-01, but cannot make a direct comparison without Qwen3.8-Flash-Next's cutoff date.

Grok 4.7

Jun 2026

Qwen3.8-Flash-Next

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Grok 4.7 and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Grok 4.7
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Grok 4.7 vs Qwen3.8-Flash-Next.

Which is better, Grok 4.7 or Qwen3.8-Flash-Next?

Grok 4.7 and Qwen3.8-Flash-Next are closely matched on the LLM Stats Score at 48.5 and 49.0. Grok 4.7 is made by xAI 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 Grok 4.7 compare to Qwen3.8-Flash-Next in benchmarks?

Grok 4.7 scores BixBench MCQ: 88.4%, WMDP-Bio: 88.1%, WMDP-Cyber: 88.1%, WMDP-Chem: 84.9%, CyberGym: 80.3%. 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 Grok 4.7 and Qwen3.8-Flash-Next?

Grok 4.7 supports 500K 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 Grok 4.7 and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (48.5 vs 49.0), licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.7 and Qwen3.8-Flash-Next?

Grok 4.7 is developed by xAI and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.

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