K-EXAONE (Reasoning)

K-EXAONE (Reasoning)

LG AIllm

Grande modelo de linguagem (llm) desenvolvido pela LG AI — Intelligence Index 23/100 no Artificial Analysis; acesso gratuito.

API Available

Specifications

Context Window

Input Price/1M

Output Price/1M

Parameters

00

Benchmarks

K-EXAONE (Reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Agentic

BenchmarkScoreMaximumMethodology
Terminal-Bench Hard23.0100.0

Coding

BenchmarkScoreMaximumMethodology
LiveCodeBench77.0100.0Artificial Analysis official API
SciCode36.0100.0
AA Coding Index27.0100.0Artificial Analysis official API

Knowledge

BenchmarkScoreMaximumMethodology
MMLU-Pro84.0100.0

Long Context

BenchmarkScoreMaximumMethodology
AA-LCR56.0100.0

Math

BenchmarkScoreMaximumMethodology
AA Math Index90.3100.0Artificial Analysis official API
AIME 202590.0100.0Artificial Analysis official API

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index32.1100.0Artificial Analysis official API

Reasoning

BenchmarkScoreMaximumMethodology
MMLU Pro81.0100.0Artificial Analysis official API
GPQA Diamond78.0100.0Artificial Analysis official API
IFBench65.0100.0
HLE13.0100.0

Tool Use

BenchmarkScoreMaximumMethodology
Tau²-Bench74.0100.0

Information

Release date
December 31, 2025
Tool Calling
❌ Not supported
Vision
❌ Not supported
Audio
❌ Not supported

Full Analysis: K-EXAONE (Reasoning)

What is K-EXAONE (Reasoning)?

K-EXAONE (Reasoning) is an AI model developed by LG AI, classified as a llm model. It focuses on text processing and natural language generation. As a proprietary model, it is available via LG AI's cloud API.

Pricing & Costs in 2026

K-EXAONE (Reasoning) does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check LG AI's official website for up-to-date availability and pricing.

Benchmarks & Performance

K-EXAONE (Reasoning) was evaluated on 14 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show exceptional performance across available evaluations.

It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.

Recommended Use Cases

K-EXAONE (Reasoning) is suitable for a wide range of AI applications: text generation, summarization, translation, and general assistance.

Comparison with Alternatives

In the 2026 AI model ecosystem, K-EXAONE (Reasoning) competes directly with similarly capable models. LG AI competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.

For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.

Frequently Asked Questions

What is K-EXAONE (Reasoning)?

K-EXAONE (Reasoning) is an AI model developed by LG AI. It is a llm model.

How much does K-EXAONE (Reasoning) cost?

K-EXAONE (Reasoning) does not have public per-token pricing available at this time. Check LG AI's official website for up-to-date information.

How does K-EXAONE (Reasoning) compare with other models?

In available benchmarks, K-EXAONE (Reasoning) scored: Terminal-Bench Hard: 23/100, LiveCodeBench: 77/100, SciCode: 36/100. See the full table above for a detailed comparison.

Is K-EXAONE (Reasoning) open source?

No, K-EXAONE (Reasoning) is a proprietary model from LG AI. It is available via cloud API. For open source alternatives, check our open source model ranking.

What is K-EXAONE (Reasoning) best for?

K-EXAONE (Reasoning) excels at general-purpose language tasks.

Last updated: June 01, 2026 View methodology →