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EXAONE 4.5 33B vs Kimi K2.8 Preview

Comparing EXAONE 4.5 33B and Kimi K2.8 Preview across benchmarks, pricing, and capabilities.

LG AI Research · Moonshot AI · Updated for 2026

Which is better?

EXAONE 4.5 33B and Kimi K2.8 Preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose EXAONE 4.5 33B

  • you are already invested in the LG AI Research ecosystem

Choose Kimi K2.8 Preview

  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

EXAONE 4.5 33B
LG AI Research
Kimi K2.8 Preview
Moonshot AI
Benchmark wins
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—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
1,048,576

Individual benchmarks

15 reported for EXAONE 4.5 33B · 0 for Kimi K2.8 Preview

No common benchmarks found

EXAONE 4.5 33B and Kimi K2.8 Previewdon'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 Kimi K2.8 Preview specifies input context (1,048,576 tokens).

LG AI Research
EXAONE 4.5 33B
Input- tokens
Output- tokens
Moonshot AI
Kimi K2.8 Preview
Input1,048,576 tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both EXAONE 4.5 33B and Kimi K2.8 Preview support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

EXAONE 4.5 33B

Text
Images
Audio
Video

Kimi K2.8 Preview

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.

EXAONE 4.5 33B

Proprietary

Closed source

Kimi K2.8 Preview

Proprietary

Closed source

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while Kimi K2.8 Preview was released on 2026-09-11.

Kimi K2.8 Preview is 5 months newer than EXAONE 4.5 33B.

EXAONE 4.5 33B

Apr 9, 2026

5 months ago

Kimi K2.8 Preview

Sep 11, 2026

1 weeks ago

5mo newer

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while Kimi K2.8 Preview's cutoff date is not specified.

We can confirm EXAONE 4.5 33B's training data extends to 2024-12-01, but cannot make a direct comparison without Kimi K2.8 Preview's cutoff date.

EXAONE 4.5 33B

Dec 2024

Kimi K2.8 Preview

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Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and Kimi K2.8 Preview side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
Kimi K2.8 Preview
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs Kimi K2.8 Preview.

Which is better, EXAONE 4.5 33B or Kimi K2.8 Preview?

EXAONE 4.5 33B (LG AI Research) and Kimi K2.8 Preview (Moonshot AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does EXAONE 4.5 33B compare to Kimi K2.8 Preview in benchmarks?

EXAONE 4.5 33B scores AIME 2025: 92.9%, AIME 2026: 92.6%, IFEval: 89.6%, AI2D: 89.0%, MathVista-Mini: 85.0%.

What are the context window sizes for EXAONE 4.5 33B and Kimi K2.8 Preview?

EXAONE 4.5 33B supports an unknown number of tokens and Kimi K2.8 Preview supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes EXAONE 4.5 33B and Kimi K2.8 Preview?

EXAONE 4.5 33B is developed by LG AI Research and Kimi K2.8 Preview is developed by Moonshot AI.

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