Model Comparison

Gemini 2.5 Pro Preview 06-05 vs K-EXAONE-236B-A23B

K-EXAONE-236B-A23B significantly outperforms across most benchmarks. K-EXAONE-236B-A23B is 4.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.5 Pro Preview 06-05 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.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

K-EXAONE-236B-A23B costs less

For input processing, Gemini 2.5 Pro Preview 06-05 ($1.25/1M tokens) is 2.1x more expensive than K-EXAONE-236B-A23B ($0.60/1M tokens).

For output processing, Gemini 2.5 Pro Preview 06-05 ($10.00/1M tokens) is 10.0x more expensive than K-EXAONE-236B-A23B ($1.00/1M tokens).

In conclusion, Gemini 2.5 Pro Preview 06-05 is more expensive than K-EXAONE-236B-A23B.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Google
Gemini 2.5 Pro Preview 06-05
Input tokens$1.25
Output tokens$10.00
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 Pro Preview 06-05 accepts 1,048,576 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. Gemini 2.5 Pro Preview 06-05 can generate longer responses up to 65,535 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.

Google
Gemini 2.5 Pro Preview 06-05
Input1,048,576 tokens
Output65,535 tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro Preview 06-05 supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

Gemini 2.5 Pro Preview 06-05 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro Preview 06-05

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 2.5 Pro Preview 06-05

Proprietary

Closed source

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05, while K-EXAONE-236B-A23B was released on 2025-12-31.

K-EXAONE-236B-A23B is 7 months newer than Gemini 2.5 Pro Preview 06-05.

Gemini 2.5 Pro Preview 06-05

Jun 5, 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 Pro Preview 06-05 has a knowledge cutoff of 2025-01-31, 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 Pro Preview 06-05 (2025-01-31).

Gemini 2.5 Pro Preview 06-05

Jan 2025

K-EXAONE-236B-A23B

Oct 2025

9 mo newer

Provider Availability

Gemini 2.5 Pro Preview 06-05 is available from Google. K-EXAONE-236B-A23B is available from FriendliAI.

Gemini 2.5 Pro Preview 06-05

google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

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
LG AI Research
Less expensive input tokens
Less expensive output tokens
Higher AIME 2025 score (92.8% vs 88.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro Preview 06-05
LG AI Research
K-EXAONE-236B-A23B

FAQ

Common questions about Gemini 2.5 Pro Preview 06-05 vs K-EXAONE-236B-A23B

K-EXAONE-236B-A23B significantly outperforms across most benchmarks. Gemini 2.5 Pro Preview 06-05 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 Pro Preview 06-05 scores Global-MMLU-Lite: 89.2%, AIME 2025: 88.0%, FACTS Grounding: 87.8%, GPQA: 86.4%, VideoMMMU: 83.6%. K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%.
K-EXAONE-236B-A23B is 2.1x cheaper for input tokens. Gemini 2.5 Pro Preview 06-05 costs $1.25/M input and $10.00/M output via google. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli.
Gemini 2.5 Pro Preview 06-05 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 ($1.25 vs $0.60/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Pro Preview 06-05 is developed by Google and K-EXAONE-236B-A23B is developed by LG AI Research.