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Gemini 4 Argon vs K-EXAONE-236B-A23B

Gemini 4 Argon leads the LLM Stats Score 55.1 to 26.2.

Google · LG AI Research · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 26.2, ranking #4 overall.

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

Choose Gemini 4 Argon

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose K-EXAONE-236B-A23B

  • you want predictable pricing at $0.60/M input and $1.00/M output

At a glance

The differences that matter most.

Gemini 4 Argon
Google
K-EXAONE-236B-A23B
LG AI Research
Core performance indexes
LLM Stats Score
55.1
#4
26.2
#167
Reasoning
52.4
#7
27.2
#154
Agents
40.5
#4
3.9
#174
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.60 / M
Output price
— / M
$1.00 / M
Context window
—
32,768

Individual benchmarks

19 reported for Gemini 4 Argon · 6 for K-EXAONE-236B-A23B

No common benchmarks found

Gemini 4 Argon and K-EXAONE-236B-A23Bdon'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

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).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 4 Argon

Text
Images
Audio
Video

K-EXAONE-236B-A23B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 4 Argon

Proprietary

Closed source

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while K-EXAONE-236B-A23B was released on 2025-12-31.

Gemini 4 Argon is 9 months newer than K-EXAONE-236B-A23B.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

9mo newer
K-EXAONE-236B-A23B

Dec 31, 2025

9 months ago

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Gemini 4 Argon'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 Gemini 4 Argon's cutoff date.

Gemini 4 Argon

—

K-EXAONE-236B-A23B

Oct 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
K-EXAONE-236B-A23B
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs K-EXAONE-236B-A23B.

Which is better, Gemini 4 Argon or K-EXAONE-236B-A23B?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 26.2. Gemini 4 Argon is made by Google and K-EXAONE-236B-A23B is made by LG AI Research. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 4 Argon compare to K-EXAONE-236B-A23B in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. 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 Gemini 4 Argon and K-EXAONE-236B-A23B?

Gemini 4 Argon supports an unknown number of tokens and K-EXAONE-236B-A23B supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 4 Argon and K-EXAONE-236B-A23B?

Key differences include LLM Stats Score (55.1 vs 26.2), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and K-EXAONE-236B-A23B?

Gemini 4 Argon is developed by Google and K-EXAONE-236B-A23B is developed by LG AI Research.

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