Claude 3.7 Sonnet vs K-EXAONE-236B-A23B
Claude 3.7 Sonnet and K-EXAONE-236B-A23B are closely matched at 23.9 and 26.2 on the LLM Stats Score. K-EXAONE-236B-A23B is 8.6x cheaper per token.
Anthropic · LG AI Research · Updated for 2026
Which is better?
Claude 3.7 Sonnet and K-EXAONE-236B-A23B are closely matched on the overall LLM Stats Score at 23.9 and 26.2.
The models split the 2 individual benchmarks reported for both models evenly.
On price, K-EXAONE-236B-A23B is roughly 8.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3.7 Sonnet also accepts a larger context window (200,000 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 Claude 3.7 Sonnet
- you process long inputs — it offers a 200,000 token context window
Choose K-EXAONE-236B-A23B
- cost matters — it's about 8.6x cheaper per token
- you want the most recent training data — it shipped Dec 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Claude 3.7 Sonnet · 6 for K-EXAONE-236B-A23B
Claude 3.7 Sonnet outperforms in 1 benchmarks (MMMLU), while K-EXAONE-236B-A23B is better at 1 benchmark (AIME 2025).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3.7 Sonnet ($3.00/1M tokens) is 5.0x more expensive than K-EXAONE-236B-A23B ($0.60/1M tokens).
For output processing, Claude 3.7 Sonnet ($15.00/1M tokens) is 15.0x more expensive than K-EXAONE-236B-A23B ($1.00/1M tokens).
In conclusion, Claude 3.7 Sonnet is more expensive than K-EXAONE-236B-A23B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3.7 Sonnet accepts 200,000 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. Claude 3.7 Sonnet can generate longer responses up to 128,000 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Claude 3.7 Sonnet supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.
Claude 3.7 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3.7 Sonnet
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
Claude 3.7 Sonnet was released on 2025-02-24, while K-EXAONE-236B-A23B was released on 2025-12-31.
K-EXAONE-236B-A23B is 10 months newer than Claude 3.7 Sonnet.
Feb 24, 2025
1.6 years ago
Dec 31, 2025
9 months ago
10mo newerKnowledge Cutoff
When training data ends
K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Claude 3.7 Sonnet'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 Claude 3.7 Sonnet's cutoff date.
—
Oct 2025
Provider Availability
Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google. K-EXAONE-236B-A23B is available from FriendliAI.
Claude 3.7 Sonnet
K-EXAONE-236B-A23B
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3.7 Sonnet and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.7 Sonnet vs K-EXAONE-236B-A23B.