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K-EXAONE-236B-A23B vs Mistral Large 3 (675B Instruct 2512)

K-EXAONE-236B-A23B leads the LLM Stats Score 26.2 to 9.0. K-EXAONE-236B-A23B is 1.1x cheaper per token.

LG AI Research · Mistral AI · Updated for 2026

Which is better?

K-EXAONE-236B-A23B leads the overall LLM Stats Score 26.2 to 9.0, ranking #159 overall.

In the 1 individual benchmarks reported for both models, K-EXAONE-236B-A23B wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, K-EXAONE-236B-A23B is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Large 3 (675B Instruct 2512) also accepts a larger context window (262,100 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose K-EXAONE-236B-A23B

  • overall performance matters — it scores 26.2 and ranks #159 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 1.1x cheaper per token
  • you want the most recent training data — it shipped Dec 2025

Choose Mistral Large 3 (675B Instruct 2512)

  • you process long inputs — it offers a 262,100 token context window
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
26.2
#159
9.0
#279
27.2
#147
9.2
#273
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.60 / M
$0.50 / M
Output price
$1.00 / M
$1.50 / M
Context window
32,768
262,100

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
K-EXAONE-236B-A23B
Mistral Large 3 (675B Instruct 2512)
28.0#98
18.9#173
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for K-EXAONE-236B-A23B · 5 for Mistral Large 3 (675B Instruct 2512)

1 shared

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

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

Fri Oct 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

K-EXAONE-236B-A23B costs less

For input processing, K-EXAONE-236B-A23B ($0.60/1M tokens) is 1.2x more expensive than Mistral Large 3 (675B Instruct 2512) ($0.50/1M tokens).

For output processing, K-EXAONE-236B-A23B ($1.00/1M tokens) is 1.5x cheaper than Mistral Large 3 (675B Instruct 2512) ($1.50/1M tokens).

In conclusion, Mistral Large 3 (675B Instruct 2512) is more expensive than K-EXAONE-236B-A23B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 02 2026 • llm-stats.com
LG AI Research
K-EXAONE-236B-A23B
Input tokens$0.60
Output tokens$1.00
Best providerFriendliAI
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input tokens$0.50
Output tokens$1.50
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

439.0B diff

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

Context Window

Maximum input and output token capacity

Mistral Large 3 (675B Instruct 2512) accepts 262,100 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. Mistral Large 3 (675B Instruct 2512) can generate longer responses up to 262,100 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.

LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input262,100 tokens
Output262,100 tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

Mistral Large 3 (675B Instruct 2512) 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)

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) 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)

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) was released on 2025-12-04.

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

K-EXAONE-236B-A23B

Dec 31, 2025

9 months ago

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

Dec 4, 2025

10 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)'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)'s cutoff date.

K-EXAONE-236B-A23B

Oct 2025

Mistral Large 3 (675B Instruct 2512)

—

Provider Availability

K-EXAONE-236B-A23B is available from FriendliAI. Mistral Large 3 (675B Instruct 2512) is available from Mistral AI.

K-EXAONE-236B-A23B

friendli logo
FriendliAI
Input Price:Input: $0.60/1MOutput Price:Output: $1.00/1M

Mistral Large 3 (675B Instruct 2512)

mistral logo
Mistral
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

K-EXAONE-236B-A23B
✓ Preferred
Mistral Large 3 (675B Instruct 2512)
Open in Playground

FAQ

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

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

K-EXAONE-236B-A23B leads the LLM Stats Score 26.2 to 9.0. K-EXAONE-236B-A23B is made by LG AI Research and Mistral Large 3 (675B Instruct 2512) is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

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

Is K-EXAONE-236B-A23B cheaper than Mistral Large 3 (675B Instruct 2512)?

Mistral Large 3 (675B Instruct 2512) is 1.2x cheaper for input tokens. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli. Mistral Large 3 (675B Instruct 2512) costs $0.50/M input and $1.50/M output via mistral.

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

K-EXAONE-236B-A23B supports 33K tokens and Mistral Large 3 (675B Instruct 2512) supports 262K 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)?

Key differences include LLM Stats Score (26.2 vs 9.0), context window (33K vs 262K), input pricing ($0.60 vs $0.50/M), 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)?

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