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EXAONE 4.5 33B vs Qwen3.8-27B

Qwen3.8-27B significantly outperforms across most benchmarks.

LG AI Research · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

EXAONE 4.5 33B outperforms in 0 benchmarks, while Qwen3.8-27B is better at 2 benchmarks (GPQA, LiveCodeBench v6). Qwen3.8-27B significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose EXAONE 4.5 33B

  • you are already invested in the LG AI Research ecosystem

Choose Qwen3.8-27B

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • 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.

Benchmark wins
0 of 2
2 of 2
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Apr 2026
Aug 2026
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

EXAONE 4.5 33B outperforms in 0 benchmarks, while Qwen3.8-27B is better at 2 benchmarks (GPQA, LiveCodeBench v6).

Qwen3.8-27B significantly outperforms across most benchmarks.

Thu Aug 27 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

5.2B diff

EXAONE 4.5 33B has 5.2B more parameters than Qwen3.8-27B, making it 18.8% larger.

LG AI Research
EXAONE 4.5 33B
33.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
33.0B
EXAONE 4.5 33B
27.8B
Qwen3.8-27B

Input Capabilities

Supported data types and modalities

Both EXAONE 4.5 33B and Qwen3.8-27B support multimodal inputs.

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

EXAONE 4.5 33B

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

EXAONE 4.5 33B 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.

EXAONE 4.5 33B

Proprietary

Closed source

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 4 months newer than EXAONE 4.5 33B.

EXAONE 4.5 33B

Apr 9, 2026

4 months ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

4mo newer

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while Qwen3.8-27B's cutoff date is not specified.

We can confirm EXAONE 4.5 33B's training data extends to 2024-12-01, but cannot make a direct comparison without Qwen3.8-27B's cutoff date.

EXAONE 4.5 33B

Dec 2024

Qwen3.8-27B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and Qwen3.8-27B side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs Qwen3.8-27B.

Which is better, EXAONE 4.5 33B or Qwen3.8-27B?

Qwen3.8-27B significantly outperforms across most benchmarks. EXAONE 4.5 33B is made by LG AI Research and Qwen3.8-27B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does EXAONE 4.5 33B compare to Qwen3.8-27B in benchmarks?

EXAONE 4.5 33B scores AIME 2025: 92.9%, AIME 2026: 92.6%, IFEval: 89.6%, AI2D: 89.0%, MathVista-Mini: 85.0%. 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 main differences between EXAONE 4.5 33B and Qwen3.8-27B?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and Qwen3.8-27B?

EXAONE 4.5 33B is developed by LG AI Research and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.