Inkling 2 Small vs K-EXAONE-236B-A23B
Inkling 2 Small leads the LLM Stats Score 47.1 to 25.4. Inkling 2 Small is 1.5x cheaper per token.
Thinking Machines Lab · LG AI Research · Updated for 2026
Which is better?
Inkling 2 Small leads the overall LLM Stats Score 47.1 to 25.4, ranking #41 overall.
On price, Inkling 2 Small is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Inkling 2 Small also accepts a larger context window (256,000 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 Inkling 2 Small
- overall performance matters — it scores 47.1 and ranks #41 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- cost matters — it's about 1.5x cheaper per token
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Nov 2026
Choose K-EXAONE-236B-A23B
- you want predictable pricing at $0.60/M input and $1.00/M output
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Inkling 2 Small · 6 for K-EXAONE-236B-A23B
Inkling 2 Small and K-EXAONE-236B-A23Bdon'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, Inkling 2 Small ($0.30/1M tokens) is 2.0x cheaper than K-EXAONE-236B-A23B ($0.60/1M tokens).
For output processing, Inkling 2 Small ($1.00/1M tokens) costs the same as K-EXAONE-236B-A23B ($1.00/1M tokens).
In conclusion, K-EXAONE-236B-A23B is more expensive than Inkling 2 Small.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Inkling 2 Small has 358.0B more parameters than K-EXAONE-236B-A23B, making it 151.7% larger.
Context Window
Maximum input and output token capacity
Inkling 2 Small accepts 256,000 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. Only K-EXAONE-236B-A23B specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
Inkling 2 Small supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.
Inkling 2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.
Inkling 2 Small
K-EXAONE-236B-A23B
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
Inkling 2 Small was released on 2026-11-05, while K-EXAONE-236B-A23B was released on 2025-12-31.
Inkling 2 Small is 10 months newer than K-EXAONE-236B-A23B.
Nov 5, 2026
4 days ago
10mo newerDec 31, 2025
10 months ago
Knowledge Cutoff
When training data ends
K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Inkling 2 Small'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 Inkling 2 Small's cutoff date.
—
Oct 2025
Provider Availability
Inkling 2 Small is available from Thinking Machines Lab. K-EXAONE-236B-A23B is available from FriendliAI.
Inkling 2 Small
K-EXAONE-236B-A23B
Outputs Comparison
Judge for yourself.
Run your own prompts against Inkling 2 Small and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Inkling 2 Small vs K-EXAONE-236B-A23B.