Model Comparison

Gemini 2.5 Flash-Lite vs K-EXAONE-236B-A23B

K-EXAONE-236B-A23B significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is 4.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while K-EXAONE-236B-A23B is better at 1 benchmark (AIME 2025).

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

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.5 Flash-Lite costs less

For input processing, Gemini 2.5 Flash-Lite ($0.10/1M tokens) is 6.0x cheaper than K-EXAONE-236B-A23B ($0.60/1M tokens).

For output processing, Gemini 2.5 Flash-Lite ($0.40/1M tokens) is 2.5x cheaper than K-EXAONE-236B-A23B ($1.00/1M tokens).

In conclusion, K-EXAONE-236B-A23B is more expensive than Gemini 2.5 Flash-Lite.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Google
Gemini 2.5 Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
LG AI Research
K-EXAONE-236B-A23B
Input tokens$0.60
Output tokens$1.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.5 Flash-Lite accepts 1,048,576 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. Gemini 2.5 Flash-Lite can generate longer responses up to 65,536 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash-Lite supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

Gemini 2.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

K-EXAONE-236B-A23B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while K-EXAONE-236B-A23B uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.5 Flash-Lite was released on 2025-06-17, while K-EXAONE-236B-A23B was released on 2025-12-31.

K-EXAONE-236B-A23B is 7 months newer than Gemini 2.5 Flash-Lite.

Gemini 2.5 Flash-Lite

Jun 17, 2025

10 months ago

K-EXAONE-236B-A23B

Dec 31, 2025

3 months ago

6mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a knowledge cutoff of 2025-01-01, while K-EXAONE-236B-A23B has a cutoff of 2025-10-01.

K-EXAONE-236B-A23B has more recent training data (up to 2025-10-01), making it potentially better informed about events through that date compared to Gemini 2.5 Flash-Lite (2025-01-01).

Gemini 2.5 Flash-Lite

Jan 2025

K-EXAONE-236B-A23B

Oct 2025

9 mo newer

Provider Availability

Gemini 2.5 Flash-Lite is available from Google. K-EXAONE-236B-A23B is available from FriendliAI.

Gemini 2.5 Flash-Lite

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

K-EXAONE-236B-A23B

friendli logo
Unknown Organization
Input Price:Input: $0.60/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights
LG AI Research
Higher AIME 2025 score (92.8% vs 49.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash-Lite
LG AI Research
K-EXAONE-236B-A23B

FAQ

Common questions about Gemini 2.5 Flash-Lite vs K-EXAONE-236B-A23B

K-EXAONE-236B-A23B significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite 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 benchmark scores, pricing, and capabilities above.
Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%. K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%.
Gemini 2.5 Flash-Lite is 6.0x cheaper for input tokens. Gemini 2.5 Flash-Lite costs $0.10/M input and $0.40/M output via google. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli.
Gemini 2.5 Flash-Lite supports 1.0M 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.
Key differences include context window (1.0M vs 33K), input pricing ($0.10 vs $0.60/M), multimodal support (yes vs no), licensing (Creative Commons Attribution 4.0 License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Flash-Lite is developed by Google and K-EXAONE-236B-A23B is developed by LG AI Research.