DeepSeek-V4-Flash-Vision-Exp vs K-EXAONE-236B-A23B
Comparing DeepSeek-V4-Flash-Vision-Exp and K-EXAONE-236B-A23B across benchmarks, pricing, and capabilities.
DeepSeek · LG AI Research · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Vision-Exp and K-EXAONE-236B-A23B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, DeepSeek-V4-Flash-Vision-Exp is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-Vision-Exp 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 benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-Vision-Exp
- cost matters — it's about 2.1x 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 Aug 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.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-Vision-Exp and K-EXAONE-236B-A23Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Vision-Exp ($0.22/1M tokens) is 2.7x cheaper than K-EXAONE-236B-A23B ($0.60/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 1.5x cheaper than K-EXAONE-236B-A23B ($1.00/1M tokens).
In conclusion, K-EXAONE-236B-A23B is more expensive than DeepSeek-V4-Flash-Vision-Exp.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-Vision-Exp accepts 1,048,576 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.
DeepSeek-V4-Flash-Vision-Exp can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-Vision-Exp
K-EXAONE-236B-A23B
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while K-EXAONE-236B-A23B was released on 2025-12-31.
DeepSeek-V4-Flash-Vision-Exp is 8 months newer than K-EXAONE-236B-A23B.
Aug 21, 2026
3 days ago
7mo newerDec 31, 2025
7 months ago
Knowledge Cutoff
When training data ends
K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while DeepSeek-V4-Flash-Vision-Exp'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 DeepSeek-V4-Flash-Vision-Exp's cutoff date.
—
Oct 2025
Provider Availability
DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek. K-EXAONE-236B-A23B is available from FriendliAI.
DeepSeek-V4-Flash-Vision-Exp
K-EXAONE-236B-A23B
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs K-EXAONE-236B-A23B.