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EXAONE 4.5 33B vs Qwen3-Next-80B-A3B-Thinking

EXAONE 4.5 33B and Qwen3-Next-80B-A3B-Thinking are closely matched at 26.0 and 23.8 on the LLM Stats Score.

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

Which is better?

EXAONE 4.5 33B and Qwen3-Next-80B-A3B-Thinking are closely matched on the overall LLM Stats Score at 26.0 and 23.8.

In the 8 individual benchmarks reported for both models, EXAONE 4.5 33B wins 7; 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 EXAONE 4.5 33B

  • you value its reported benchmark strengths — it wins 7 of 8 exact shared results
  • you want the most recent training data — it shipped Apr 2026

Choose Qwen3-Next-80B-A3B-Thinking

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

At a glance

The differences that matter most.

EXAONE 4.5 33B
LG AI Research
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
26.0
#155
23.8
#174
Reasoning
26.6
#148
24.5
#158
Cost, coverage & limits
Benchmark wins
7 of 8
1 of 8
Input price
— / M
$0.15 / M
Output price
— / M
$1.50 / M
Context window
—
65,536

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
EXAONE 4.5 33B
Qwen3-Next-80B-A3B-Thinking
Math
28.4#93
26.5#102
Tool use
10.4#125
11.0#117
Writing
14.9#45
14.1#50
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for EXAONE 4.5 33B · 23 for Qwen3-Next-80B-A3B-Thinking

8 shared

EXAONE 4.5 33B outperforms in 7 benchmarks (AIME 2025, GPQA, IFEval, LiveCodeBench v6, MMLU-Pro, Tau2 Retail, Tau2 Telecom), while Qwen3-Next-80B-A3B-Thinking is better at 1 benchmark (Tau2 Airline).

EXAONE 4.5 33B significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

47.0B diff

Qwen3-Next-80B-A3B-Thinking has 47.0B more parameters than EXAONE 4.5 33B, making it 142.4% larger.

LG AI Research
EXAONE 4.5 33B
33.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
80.0Bparameters
33.0B
EXAONE 4.5 33B
80.0B
Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Only Qwen3-Next-80B-A3B-Thinking specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Thinking specifies output context (65,536 tokens).

LG AI Research
EXAONE 4.5 33B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input65,536 tokens
Output65,536 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

EXAONE 4.5 33B supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking does not.

EXAONE 4.5 33B can handle both text and other forms of data like images, making it suitable for multimodal applications.

EXAONE 4.5 33B

Text
Images
Audio
Video

Qwen3-Next-80B-A3B-Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

EXAONE 4.5 33B is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Thinking 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-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

EXAONE 4.5 33B is 7 months newer than Qwen3-Next-80B-A3B-Thinking.

EXAONE 4.5 33B

Apr 9, 2026

5 months ago

7mo newer
Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while Qwen3-Next-80B-A3B-Thinking'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-Next-80B-A3B-Thinking's cutoff date.

EXAONE 4.5 33B

Dec 2024

Qwen3-Next-80B-A3B-Thinking

—

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-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
Qwen3-Next-80B-A3B-Thinking
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs Qwen3-Next-80B-A3B-Thinking.

Which is better, EXAONE 4.5 33B or Qwen3-Next-80B-A3B-Thinking?

EXAONE 4.5 33B and Qwen3-Next-80B-A3B-Thinking are closely matched on the LLM Stats Score at 26.0 and 23.8. EXAONE 4.5 33B is made by LG AI Research and Qwen3-Next-80B-A3B-Thinking 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 EXAONE 4.5 33B compare to Qwen3-Next-80B-A3B-Thinking 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-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

What are the context window sizes for EXAONE 4.5 33B and Qwen3-Next-80B-A3B-Thinking?

EXAONE 4.5 33B supports an unknown number of tokens and Qwen3-Next-80B-A3B-Thinking supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between EXAONE 4.5 33B and Qwen3-Next-80B-A3B-Thinking?

Key differences include LLM Stats Score (26.0 vs 23.8), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and Qwen3-Next-80B-A3B-Thinking?

EXAONE 4.5 33B is developed by LG AI Research and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.

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