Model Comparison

K-EXAONE-236B-A23B vs Mistral Large 3 (675B Instruct 2512 NVFP4)Which is better in 2026?

K-EXAONE-236B-A23B significantly outperforms across most benchmarks.

Verdict: K-EXAONE-236B-A23B vs Mistral Large 3 (675B Instruct 2512 NVFP4) — which is better?

K-EXAONE-236B-A23B (by LG AI Research) and Mistral Large 3 (675B Instruct 2512 NVFP4) (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

K-EXAONE-236B-A23B outperforms in 1 benchmarks (MMMLU), while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 0 benchmarks. K-EXAONE-236B-A23B significantly outperforms across most benchmarks.

Choose K-EXAONE-236B-A23B if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025

Choose Mistral Large 3 (675B Instruct 2512 NVFP4) if…

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

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

K-EXAONE-236B-A23B outperforms in 1 benchmarks (MMMLU), while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 0 benchmarks.

K-EXAONE-236B-A23B significantly outperforms across most benchmarks.

Tue Jul 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

439.0B diff

Mistral Large 3 (675B Instruct 2512 NVFP4) has 439.0B more parameters than K-EXAONE-236B-A23B, making it 186.0% larger.

LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
236.0B
K-EXAONE-236B-A23B
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)

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
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 (675B Instruct 2512 NVFP4) supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

Mistral Large 3 (675B Instruct 2512 NVFP4) can handle both text and other forms of data like images, making it suitable for multimodal applications.

K-EXAONE-236B-A23B

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

License

Usage and distribution terms

K-EXAONE-236B-A23B is licensed under a proprietary license, while Mistral Large 3 (675B Instruct 2512 NVFP4) 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

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Release Timeline

When each model was launched

K-EXAONE-236B-A23B was released on 2025-12-31, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.

K-EXAONE-236B-A23B is 1 month newer than Mistral Large 3 (675B Instruct 2512 NVFP4).

K-EXAONE-236B-A23B

Dec 31, 2025

6 months ago

3w newer
Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

7 months ago

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Mistral Large 3 (675B Instruct 2512 NVFP4)'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 Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date.

K-EXAONE-236B-A23B

Oct 2025

Mistral Large 3 (675B Instruct 2512 NVFP4)

—

Outputs Comparison

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Key Takeaways

LG AI Research
Larger context window (32,768 tokens)
Higher MMMLU score (85.7% vs 85.5%)
Mistral AI
Supports multimodal inputs
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against K-EXAONE-236B-A23B and Mistral Large 3 (675B Instruct 2512 NVFP4) side-by-side, then vote on the output you prefer.

K-EXAONE-236B-A23B
✓ Preferred
Mistral Large 3 (675B Instruct 2512 NVFP4)
Open in Playground
AI Model Comparison Table
Feature
LG AI Research
K-EXAONE-236B-A23B
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)

FAQ

Common questions about K-EXAONE-236B-A23B vs Mistral Large 3 (675B Instruct 2512 NVFP4).

Which is better, K-EXAONE-236B-A23B or Mistral Large 3 (675B Instruct 2512 NVFP4)?

K-EXAONE-236B-A23B significantly outperforms across most benchmarks. K-EXAONE-236B-A23B is made by LG AI Research and Mistral Large 3 (675B Instruct 2512 NVFP4) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does K-EXAONE-236B-A23B compare to Mistral Large 3 (675B Instruct 2512 NVFP4) 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%. Mistral Large 3 (675B Instruct 2512 NVFP4) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for K-EXAONE-236B-A23B and Mistral Large 3 (675B Instruct 2512 NVFP4)?

K-EXAONE-236B-A23B supports 33K tokens and Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Mistral Large 3 (675B Instruct 2512 NVFP4)?

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

Who makes K-EXAONE-236B-A23B and Mistral Large 3 (675B Instruct 2512 NVFP4)?

K-EXAONE-236B-A23B is developed by LG AI Research and Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI.

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