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Grok 4.5 vs Qwen3.8-27B

Grok 4.5 and Qwen3.8-27B are closely matched at 47.0 and 46.1 on the LLM Stats Score.

xAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Grok 4.5 and Qwen3.8-27B are closely matched on the overall LLM Stats Score at 47.0 and 46.1.

In the 4 individual benchmarks reported for both models, Grok 4.5 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 Grok 4.5

  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results

Choose Qwen3.8-27B

  • 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.

Grok 4.5
xAI
Qwen3.8-27B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
47.0
#19
46.1
#24
Reasoning
45.5
#26
45.6
#24
Coding
38.7
#16
34.5
#29
Agents
33.6
#20
32.9
#24
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$2.00 / M
— / M
Output price
$6.00 / M
— / M
Context window
500,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Grok 4.5
Qwen3.8-27B
Tool use
24.5#31
25.0#30
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for Grok 4.5 · 26 for Qwen3.8-27B

4 shared

Grok 4.5 outperforms in 4 benchmarks (DeepSWE 1.1, GPQA, SWE-Bench Pro, Terminal-Bench 2.1), while Qwen3.8-27B is better at 0 benchmarks.

Grok 4.5 significantly outperforms across most benchmarks.

Fri Aug 28 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 4.5 specifies input context (500,000 tokens).

xAI
Grok 4.5
Input500,000 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Grok 4.5 and Qwen3.8-27B support multimodal inputs.

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

Grok 4.5

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Grok 4.5 is licensed under a proprietary license, while Qwen3.8-27B uses Apache 2.0.

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

Grok 4.5

Proprietary

Closed source

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok 4.5 was released on 2026-07-16, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 1 month newer than Grok 4.5.

Grok 4.5

Jul 16, 2026

1 months ago

Qwen3.8-27B

Aug 14, 2026

2 weeks ago

4w newer

Knowledge Cutoff

When training data ends

Grok 4.5 has a documented knowledge cutoff of 2026-02-01, while Qwen3.8-27B's cutoff date is not specified.

We can confirm Grok 4.5's training data extends to 2026-02-01, but cannot make a direct comparison without Qwen3.8-27B's cutoff date.

Grok 4.5

Feb 2026

Qwen3.8-27B

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Grok 4.5 and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Grok 4.5
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Grok 4.5 vs Qwen3.8-27B.

Which is better, Grok 4.5 or Qwen3.8-27B?

Grok 4.5 and Qwen3.8-27B are closely matched on the LLM Stats Score at 47.0 and 46.1. Grok 4.5 is made by xAI and Qwen3.8-27B 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 4.5 compare to Qwen3.8-27B in benchmarks?

Grok 4.5 scores GPQA: 93.0%, Terminal-Bench 2.1: 83.3%, SWE-Bench Pro: 64.7%, AA-Omniscience Index: 63.0%, DeepSWE 1.0: 62.0%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for Grok 4.5 and Qwen3.8-27B?

Grok 4.5 supports 500K tokens and Qwen3.8-27B 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 4.5 and Qwen3.8-27B?

Key differences include LLM Stats Score (47.0 vs 46.1), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.5 and Qwen3.8-27B?

Grok 4.5 is developed by xAI and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.

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