K-EXAONE-236B-A23B vs Particle-1
Particle-1 leads the LLM Stats Score 32.0 to 25.5. Particle-1 is 1.6x cheaper per token.
LG AI Research · Particle AI · Updated for 2026
Which is better?
Particle-1 leads the overall LLM Stats Score 32.0 to 25.5, ranking #135 overall.
On price, Particle-1 is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Particle-1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose K-EXAONE-236B-A23B
- you want predictable pricing at $0.60/M input and $1.00/M output
Choose Particle-1
- overall performance matters — it scores 32.0 and ranks #135 on LLM Stats
- cost matters — it's about 1.6x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
6 reported for K-EXAONE-236B-A23B · 3 for Particle-1
K-EXAONE-236B-A23B and Particle-1don'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
Pricing Analysis
Price comparison per million tokens
For input processing, K-EXAONE-236B-A23B ($0.60/1M tokens) is 2.4x more expensive than Particle-1 ($0.25/1M tokens).
For output processing, K-EXAONE-236B-A23B ($1.00/1M tokens) costs the same as Particle-1 ($1.00/1M tokens).
In conclusion, K-EXAONE-236B-A23B is more expensive than Particle-1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Particle-1 accepts 1,048,576 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. Particle-1 can generate longer responses up to 131,072 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Particle-1 supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.
Particle-1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
K-EXAONE-236B-A23B
Particle-1
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
K-EXAONE-236B-A23B was released on 2025-12-31, while Particle-1 was released on 2026-10-28.
Particle-1 is 10 months newer than K-EXAONE-236B-A23B.
Dec 31, 2025
10 months ago
Oct 28, 2026
1 weeks ago
10mo newerKnowledge Cutoff
When training data ends
K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Particle-1'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 Particle-1's cutoff date.
Oct 2025
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Provider Availability
K-EXAONE-236B-A23B is available from FriendliAI. Particle-1 is available from Particle AI.
K-EXAONE-236B-A23B
Particle-1
Outputs Comparison
Judge for yourself.
Run your own prompts against K-EXAONE-236B-A23B and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about K-EXAONE-236B-A23B vs Particle-1.