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K-EXAONE-236B-A23B vs Qwen3-Next-80B-A3B-Base

Comparing K-EXAONE-236B-A23B and Qwen3-Next-80B-A3B-Base across benchmarks, pricing, and capabilities.

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

Which is better?

K-EXAONE-236B-A23B and Qwen3-Next-80B-A3B-Base trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose K-EXAONE-236B-A23B

  • you want the most recent training data — it shipped Dec 2025

Choose Qwen3-Next-80B-A3B-Base

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

At a glance

The differences that matter most.

K-EXAONE-236B-A23B
LG AI Research
Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
$0.60 / M
— / M
Output price
$1.00 / M
— / M
Context window
32,768
—

Individual benchmarks

6 reported for K-EXAONE-236B-A23B · 0 for Qwen3-Next-80B-A3B-Base

No common benchmarks found

K-EXAONE-236B-A23B and Qwen3-Next-80B-A3B-Basedon'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

Model Size

Parameter count comparison

156.0B diff

K-EXAONE-236B-A23B has 156.0B more parameters than Qwen3-Next-80B-A3B-Base, making it 195.0% larger.

LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
80.0Bparameters
236.0B
K-EXAONE-236B-A23B
80.0B
Qwen3-Next-80B-A3B-Base

Context Window

Maximum input and output token capacity

Only K-EXAONE-236B-A23B specifies input context (32,768 tokens). Only K-EXAONE-236B-A23B specifies output context (32,768 tokens).

LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

K-EXAONE-236B-A23B is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Base uses Apache 2.0.

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

K-EXAONE-236B-A23B

Proprietary

Closed source

Qwen3-Next-80B-A3B-Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

K-EXAONE-236B-A23B was released on 2025-12-31, while Qwen3-Next-80B-A3B-Base was released on 2025-09-10.

K-EXAONE-236B-A23B is 4 months newer than Qwen3-Next-80B-A3B-Base.

K-EXAONE-236B-A23B

Dec 31, 2025

8 months ago

3mo newer
Qwen3-Next-80B-A3B-Base

Sep 10, 2025

11 months ago

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Qwen3-Next-80B-A3B-Base's cutoff date is not specified.

We can confirm K-EXAONE-236B-A23B's training data extends to 2025-10-01, but cannot make a direct comparison without Qwen3-Next-80B-A3B-Base's cutoff date.

K-EXAONE-236B-A23B

Oct 2025

Qwen3-Next-80B-A3B-Base

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against K-EXAONE-236B-A23B and Qwen3-Next-80B-A3B-Base side-by-side, then vote on the output you prefer.

K-EXAONE-236B-A23B
✓ Preferred
Qwen3-Next-80B-A3B-Base
Open in Playground

FAQ

Common questions about K-EXAONE-236B-A23B vs Qwen3-Next-80B-A3B-Base.

Which is better, K-EXAONE-236B-A23B or Qwen3-Next-80B-A3B-Base?

K-EXAONE-236B-A23B (LG AI Research) and Qwen3-Next-80B-A3B-Base (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does K-EXAONE-236B-A23B compare to Qwen3-Next-80B-A3B-Base in benchmarks?

K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%.

What are the context window sizes for K-EXAONE-236B-A23B and Qwen3-Next-80B-A3B-Base?

K-EXAONE-236B-A23B supports 33K tokens and Qwen3-Next-80B-A3B-Base 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 K-EXAONE-236B-A23B and Qwen3-Next-80B-A3B-Base?

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

Who makes K-EXAONE-236B-A23B and Qwen3-Next-80B-A3B-Base?

K-EXAONE-236B-A23B is developed by LG AI Research and Qwen3-Next-80B-A3B-Base is developed by Alibaba Cloud / Qwen Team.

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