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

Gemini 4 Carbon leads the LLM Stats Score 58.8 to 25.5.

Google · LG AI Research · Updated for 2026

Which is better?

Gemini 4 Carbon leads the overall LLM Stats Score 58.8 to 25.5, ranking #2 overall.

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

Choose Gemini 4 Carbon

  • overall performance matters — it scores 58.8 and ranks #2 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 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 Carbon
Google
K-EXAONE-236B-A23B
LG AI Research
Core performance indexes
LLM Stats Score
58.8
#2
25.5
#186
Reasoning
54.4
#5
26.6
#174
Agents
45.8
#1
3.3
#196
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.60 / M
Output price
— / M
$1.00 / M
Context window
—
32,768

Individual benchmarks

16 reported for Gemini 4 Carbon · 6 for K-EXAONE-236B-A23B

No common benchmarks found

Gemini 4 Carbon 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 Carbon
Input- tokens
Output- tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

Gemini 4 Carbon

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 Carbon

Proprietary

Closed source

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Carbon was released on 2026-10-28, while K-EXAONE-236B-A23B was released on 2025-12-31.

Gemini 4 Carbon is 10 months newer than K-EXAONE-236B-A23B.

Gemini 4 Carbon

Oct 28, 2026

1 weeks ago

10mo newer
K-EXAONE-236B-A23B

Dec 31, 2025

10 months ago

Knowledge Cutoff

When training data ends

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

Gemini 4 Carbon

—

K-EXAONE-236B-A23B

Oct 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

Gemini 4 Carbon leads the LLM Stats Score 58.8 to 25.5. Gemini 4 Carbon 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 Carbon compare to K-EXAONE-236B-A23B in benchmarks?

Gemini 4 Carbon scores Gray Swan IPI Benchmark: 100.0%, Vending-Bench 2: 100.0%, Graphwalks BFS >128k: 96.2%, WebDev Arena: 88.4%, SEC-bench Pro: 88.2%. 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 Carbon and K-EXAONE-236B-A23B?

Gemini 4 Carbon 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 Carbon and K-EXAONE-236B-A23B?

Key differences include LLM Stats Score (58.8 vs 25.5), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

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

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

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