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Grok 4.7 vs Qwen3.5-4B

Grok 4.7 leads the LLM Stats Score 48.5 to 19.5.

xAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 19.5, ranking #23 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Grok 4.7

  • overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3.5-4B

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

At a glance

The differences that matter most.

Core performance indexes
48.5
#23
19.5
#207
37.4
#69
19.6
#199
36.1
#19
3.6
#163
Cost, coverage & limits
Benchmark wins
Input price
$2.00 / M
— / M
Output price
$6.00 / M
— / M
Context window
500,000

Individual benchmarks

23 reported for Grok 4.7 · 25 for Qwen3.5-4B

No common benchmarks found

Grok 4.7 and Qwen3.5-4Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

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
Qwen3.5-4B
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Grok 4.7 and Qwen3.5-4B support multimodal inputs.

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

Grok 4.7

Text
Images
Audio
Video

Qwen3.5-4B

Text
Images
Audio
Video

License

Usage and distribution terms

Grok 4.7 is licensed under a proprietary license, while Qwen3.5-4B uses Apache 2.0.

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

Grok 4.7

Proprietary

Closed source

Qwen3.5-4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok 4.7 was released on 2026-09-21, while Qwen3.5-4B was released on 2026-03-02.

Grok 4.7 is 7 months newer than Qwen3.5-4B.

Grok 4.7

Sep 21, 2026

1 days ago

6mo newer
Qwen3.5-4B

Mar 2, 2026

6 months ago

Knowledge Cutoff

When training data ends

Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while Qwen3.5-4B'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 Qwen3.5-4B's cutoff date.

Grok 4.7

Jun 2026

Qwen3.5-4B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Grok 4.7 and Qwen3.5-4B side-by-side, then vote on the output you prefer.

Grok 4.7
✓ Preferred
Qwen3.5-4B
Open in Playground

FAQ

Common questions about Grok 4.7 vs Qwen3.5-4B.

Which is better, Grok 4.7 or Qwen3.5-4B?

Grok 4.7 leads the LLM Stats Score 48.5 to 19.5. Grok 4.7 is made by xAI and Qwen3.5-4B 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 Qwen3.5-4B 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%. Qwen3.5-4B scores IFEval: 89.8%, MMLU-Redux: 88.8%, C-Eval: 85.1%, t2-bench: 79.9%, MMLU-Pro: 79.1%.

What are the context window sizes for Grok 4.7 and Qwen3.5-4B?

Grok 4.7 supports 500K tokens and Qwen3.5-4B 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 Qwen3.5-4B?

Key differences include LLM Stats Score (48.5 vs 19.5), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.7 and Qwen3.5-4B?

Grok 4.7 is developed by xAI and Qwen3.5-4B is developed by Alibaba Cloud / Qwen Team.