Model Comparison

K-EXAONE-236B-A23B vs Qwen3-Coder 480B A35B Instruct

Comparing K-EXAONE-236B-A23B and Qwen3-Coder 480B A35B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

K-EXAONE-236B-A23B and Qwen3-Coder 480B A35B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
LG AI Research
K-EXAONE-236B-A23B
Input tokens$0.60
Output tokens$1.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

244.0B diff

Qwen3-Coder 480B A35B Instruct has 244.0B more parameters than K-EXAONE-236B-A23B, making it 103.4% larger.

LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
480.0Bparameters
236.0B
K-EXAONE-236B-A23B
480.0B
Qwen3-Coder 480B A35B Instruct

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-Coder 480B A35B Instruct
Input- tokens
Output- tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

K-EXAONE-236B-A23B is licensed under a proprietary license, while Qwen3-Coder 480B A35B Instruct 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-Coder 480B A35B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

K-EXAONE-236B-A23B was released on 2025-12-31, while Qwen3-Coder 480B A35B Instruct was released on 2025-01-31.

K-EXAONE-236B-A23B is 11 months newer than Qwen3-Coder 480B A35B Instruct.

K-EXAONE-236B-A23B

Dec 31, 2025

3 months ago

11mo newer
Qwen3-Coder 480B A35B Instruct

Jan 31, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Qwen3-Coder 480B A35B Instruct'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-Coder 480B A35B Instruct's cutoff date.

K-EXAONE-236B-A23B

Oct 2025

Qwen3-Coder 480B A35B Instruct

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Outputs Comparison

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Key Takeaways

LG AI Research
Larger context window (32,768 tokens)
Alibaba Cloud / Qwen Team
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
LG AI Research
K-EXAONE-236B-A23B
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct

FAQ

Common questions about K-EXAONE-236B-A23B vs Qwen3-Coder 480B A35B Instruct

K-EXAONE-236B-A23B (LG AI Research) and Qwen3-Coder 480B A35B Instruct (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.
K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%. Qwen3-Coder 480B A35B Instruct scores TAU-bench Retail: 77.5%, SWE-Bench Verified: 69.6%, BFCL-v3: 68.7%, Aider-Polyglot: 61.8%, TAU-bench Airline: 60.0%.
K-EXAONE-236B-A23B supports 33K tokens and Qwen3-Coder 480B A35B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
K-EXAONE-236B-A23B is developed by LG AI Research and Qwen3-Coder 480B A35B Instruct is developed by Alibaba Cloud / Qwen Team.