Model Comparison

K-EXAONE-236B-A23B vs Qwen3 VL 30B A3B InstructWhich is better in 2026?

K-EXAONE-236B-A23B significantly outperforms across most benchmarks. Qwen3 VL 30B A3B Instruct is 2.2x cheaper per token.

Verdict: K-EXAONE-236B-A23B vs Qwen3 VL 30B A3B Instruct — which is better?

K-EXAONE-236B-A23B (by LG AI Research) and Qwen3 VL 30B A3B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

K-EXAONE-236B-A23B outperforms in 3 benchmarks (AIME 2025, LiveCodeBench v6, MMLU-Pro), while Qwen3 VL 30B A3B Instruct is better at 0 benchmarks. K-EXAONE-236B-A23B significantly outperforms across most benchmarks.

On price, Qwen3 VL 30B A3B Instruct is roughly 2.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 VL 30B A3B Instruct also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

Choose K-EXAONE-236B-A23B if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025

Choose Qwen3 VL 30B A3B Instruct if…

  • cost matters — it's about 2.2x cheaper per token
  • you process long inputs — it offers a 131,072 token context window
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

K-EXAONE-236B-A23B outperforms in 3 benchmarks (AIME 2025, LiveCodeBench v6, MMLU-Pro), while Qwen3 VL 30B A3B Instruct is better at 0 benchmarks.

K-EXAONE-236B-A23B significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 30B A3B Instruct costs less

For input processing, K-EXAONE-236B-A23B ($0.60/1M tokens) is 3.0x more expensive than Qwen3 VL 30B A3B Instruct ($0.20/1M tokens).

For output processing, K-EXAONE-236B-A23B ($1.00/1M tokens) is 1.4x more expensive than Qwen3 VL 30B A3B Instruct ($0.70/1M tokens).

In conclusion, K-EXAONE-236B-A23B is more expensive than Qwen3 VL 30B A3B Instruct.*

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

Lowest available price from all providers
Sun Jun 07 2026 • llm-stats.com
LG AI Research
K-EXAONE-236B-A23B
Input tokens$0.60
Output tokens$1.00
Best providerFriendliAI
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
Input tokens$0.20
Output tokens$0.70
Best providerNovita
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

205.0B diff

K-EXAONE-236B-A23B has 205.0B more parameters than Qwen3 VL 30B A3B Instruct, making it 661.3% larger.

LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
31.0Bparameters
236.0B
K-EXAONE-236B-A23B
31.0B
Qwen3 VL 30B A3B Instruct

Context Window

Maximum input and output token capacity

Qwen3 VL 30B A3B Instruct accepts 131,072 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. Both models can generate responses up to 32,768 tokens.

LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
Input131,072 tokens
Output32,768 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 30B A3B Instruct supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

Qwen3 VL 30B A3B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

K-EXAONE-236B-A23B

Text
Images
Audio
Video

Qwen3 VL 30B A3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

K-EXAONE-236B-A23B is licensed under a proprietary license, while Qwen3 VL 30B A3B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

K-EXAONE-236B-A23B

Proprietary

Closed source

Qwen3 VL 30B A3B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

K-EXAONE-236B-A23B was released on 2025-12-31, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.

K-EXAONE-236B-A23B is 3 months newer than Qwen3 VL 30B A3B Instruct.

K-EXAONE-236B-A23B

Dec 31, 2025

5 months ago

3mo newer
Qwen3 VL 30B A3B Instruct

Sep 22, 2025

8 months ago

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Qwen3 VL 30B A3B Instruct'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 Qwen3 VL 30B A3B Instruct's cutoff date.

K-EXAONE-236B-A23B

Oct 2025

Qwen3 VL 30B A3B Instruct

Provider Availability

K-EXAONE-236B-A23B is available from FriendliAI. Qwen3 VL 30B A3B Instruct is available from Novita, DeepInfra.

K-EXAONE-236B-A23B

friendli logo
FriendliAI
Input Price:Input: $0.60/1MOutput Price:Output: $1.00/1M

Qwen3 VL 30B A3B Instruct

novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $0.70/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.29/1MOutput Price:Output: $0.99/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Higher AIME 2025 score (92.8% vs 69.3%)
Higher LiveCodeBench v6 score (80.7% vs 42.6%)
Higher MMLU-Pro score (83.8% vs 77.8%)
Alibaba Cloud / Qwen Team

Qwen3 VL 30B A3B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
LG AI Research
K-EXAONE-236B-A23B
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct

FAQ

Common questions about K-EXAONE-236B-A23B vs Qwen3 VL 30B A3B Instruct.

Which is better, K-EXAONE-236B-A23B or Qwen3 VL 30B A3B Instruct?

K-EXAONE-236B-A23B significantly outperforms across most benchmarks. K-EXAONE-236B-A23B is made by LG AI Research and Qwen3 VL 30B A3B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does K-EXAONE-236B-A23B compare to Qwen3 VL 30B A3B Instruct in benchmarks?

K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%. Qwen3 VL 30B A3B Instruct scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, OCRBench: 90.3%, MMLU-Redux: 88.4%, MMBench-V1.1: 87.0%.

Is K-EXAONE-236B-A23B cheaper than Qwen3 VL 30B A3B Instruct?

Qwen3 VL 30B A3B Instruct is 3.0x cheaper for input tokens. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli. Qwen3 VL 30B A3B Instruct costs $0.20/M input and $0.70/M output via novita.

What are the context window sizes for K-EXAONE-236B-A23B and Qwen3 VL 30B A3B Instruct?

K-EXAONE-236B-A23B supports 33K tokens and Qwen3 VL 30B A3B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between K-EXAONE-236B-A23B and Qwen3 VL 30B A3B Instruct?

Key differences include context window (33K vs 131K), input pricing ($0.60 vs $0.20/M), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes K-EXAONE-236B-A23B and Qwen3 VL 30B A3B Instruct?

K-EXAONE-236B-A23B is developed by LG AI Research and Qwen3 VL 30B A3B Instruct is developed by Alibaba Cloud / Qwen Team.