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K-EXAONE-236B-A23B vs Mistral Large 3 (675B Base)

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

LG AI Research · Mistral AI · Updated for 2026

Which is better?

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

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

Choose K-EXAONE-236B-A23B

  • 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 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
Mistral Large 3 (675B Base)
Mistral AI
Benchmark wins
1 of 1
0 of 1
Input price
$0.60 / M
— / M
Output price
$1.00 / M
— / M
Context window
32,768
—
Released
Dec 2025
Dec 2025
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

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

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

439.0B diff

Mistral Large 3 (675B Base) 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 Base)
675.0Bparameters
236.0B
K-EXAONE-236B-A23B
675.0B
Mistral Large 3 (675B 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
Mistral AI
Mistral Large 3 (675B Base)
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Mistral Large 3 (675B Base) 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 Base)

Text
Images
Audio
Video

License

Usage and distribution terms

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

Mistral Large 3 (675B Base)

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 Base) was released on 2025-12-04.

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

K-EXAONE-236B-A23B

Dec 31, 2025

7 months ago

3w newer
Mistral Large 3 (675B Base)

Dec 4, 2025

8 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 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 Mistral Large 3 (675B Base)'s cutoff date.

K-EXAONE-236B-A23B

Oct 2025

Mistral Large 3 (675B 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 Mistral Large 3 (675B Base) side-by-side, then vote on the output you prefer.

K-EXAONE-236B-A23B
✓ Preferred
Mistral Large 3 (675B Base)
Open in Playground

FAQ

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

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

K-EXAONE-236B-A23B significantly outperforms across most benchmarks. K-EXAONE-236B-A23B is made by LG AI Research and Mistral Large 3 (675B Base) 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 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%. Mistral Large 3 (675B Base) 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 Base)?

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

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 Base)?

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

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