Model Comparison

K-EXAONE-236B-A23B vs Nemotron 3 Super (120B A12B)Which is better in 2026?

K-EXAONE-236B-A23B shows notably better performance in the majority of benchmarks. Nemotron 3 Super (120B A12B) is 3.5x cheaper per token.

Verdict: K-EXAONE-236B-A23B vs Nemotron 3 Super (120B A12B) — which is better?

K-EXAONE-236B-A23B (by LG AI Research) and Nemotron 3 Super (120B A12B) (by NVIDIA) 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 2 benchmarks (AIME 2025, MMLU-Pro), while Nemotron 3 Super (120B A12B) is better at 1 benchmark (IFBench). K-EXAONE-236B-A23B shows notably better performance in the majority of benchmarks.

On price, Nemotron 3 Super (120B A12B) is roughly 3.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Nemotron 3 Super (120B A12B) also accepts a larger context window (262,144 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 2 of 3 shared benchmarks

Choose Nemotron 3 Super (120B A12B) if…

  • cost matters — it's about 3.5x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Mar 2026
  • 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 2 benchmarks (AIME 2025, MMLU-Pro), while Nemotron 3 Super (120B A12B) is better at 1 benchmark (IFBench).

K-EXAONE-236B-A23B shows notably better performance in the majority of benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Nemotron 3 Super (120B A12B) costs less

For input processing, K-EXAONE-236B-A23B ($0.60/1M tokens) is 6.0x more expensive than Nemotron 3 Super (120B A12B) ($0.10/1M tokens).

For output processing, K-EXAONE-236B-A23B ($1.00/1M tokens) is 2.0x more expensive than Nemotron 3 Super (120B A12B) ($0.50/1M tokens).

In conclusion, K-EXAONE-236B-A23B is more expensive than Nemotron 3 Super (120B A12B).*

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

Lowest available price from all providers
Mon Jul 27 2026 • llm-stats.com
LG AI Research
K-EXAONE-236B-A23B
Input tokens$0.60
Output tokens$1.00
Best providerFriendliAI
NVIDIA
Nemotron 3 Super (120B A12B)
Input tokens$0.10
Output tokens$0.50
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

116.0B diff

K-EXAONE-236B-A23B has 116.0B more parameters than Nemotron 3 Super (120B A12B), making it 96.7% larger.

LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
NVIDIA
Nemotron 3 Super (120B A12B)
120.0Bparameters
236.0B
K-EXAONE-236B-A23B
120.0B
Nemotron 3 Super (120B A12B)

Context Window

Maximum input and output token capacity

Nemotron 3 Super (120B A12B) accepts 262,144 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. Nemotron 3 Super (120B A12B) can generate longer responses up to 262,144 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.

LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
NVIDIA
Nemotron 3 Super (120B A12B)
Input262,144 tokens
Output262,144 tokens
Mon Jul 27 2026 • llm-stats.com

License

Usage and distribution terms

K-EXAONE-236B-A23B is licensed under a proprietary license, while Nemotron 3 Super (120B A12B) uses NVIDIA Open Model License Agreement .

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

K-EXAONE-236B-A23B

Proprietary

Closed source

Nemotron 3 Super (120B A12B)

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

K-EXAONE-236B-A23B was released on 2025-12-31, while Nemotron 3 Super (120B A12B) was released on 2026-03-11.

Nemotron 3 Super (120B A12B) is 2 months newer than K-EXAONE-236B-A23B.

K-EXAONE-236B-A23B

Dec 31, 2025

6 months ago

Nemotron 3 Super (120B A12B)

Mar 11, 2026

4 months ago

2mo newer

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a knowledge cutoff of 2025-10-01, while Nemotron 3 Super (120B A12B) has a cutoff of 2025-06-01.

K-EXAONE-236B-A23B has more recent training data (up to 2025-10-01), making it potentially better informed about events through that date compared to Nemotron 3 Super (120B A12B) (2025-06-01).

K-EXAONE-236B-A23B

Oct 2025

4 mo newer
Nemotron 3 Super (120B A12B)

Jun 2025

Provider Availability

K-EXAONE-236B-A23B is available from FriendliAI. Nemotron 3 Super (120B A12B) is available from DeepInfra.

K-EXAONE-236B-A23B

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

Nemotron 3 Super (120B A12B)

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

LG AI Research
Higher AIME 2025 score (92.8% vs 90.2%)
Higher MMLU-Pro score (83.8% vs 83.7%)
NVIDIA
Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher IFBench score (72.6% vs 67.3%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against K-EXAONE-236B-A23B and Nemotron 3 Super (120B A12B) side-by-side, then vote on the output you prefer.

K-EXAONE-236B-A23B
✓ Preferred
Nemotron 3 Super (120B A12B)
Open in Playground
AI Model Comparison Table
Feature
LG AI Research
K-EXAONE-236B-A23B
NVIDIA
Nemotron 3 Super (120B A12B)

FAQ

Common questions about K-EXAONE-236B-A23B vs Nemotron 3 Super (120B A12B).

Which is better, K-EXAONE-236B-A23B or Nemotron 3 Super (120B A12B)?

K-EXAONE-236B-A23B shows notably better performance in the majority of benchmarks. K-EXAONE-236B-A23B is made by LG AI Research and Nemotron 3 Super (120B A12B) is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does K-EXAONE-236B-A23B compare to Nemotron 3 Super (120B A12B) 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%. Nemotron 3 Super (120B A12B) scores HMMT 2025: 94.7%, RULER: 91.8%, AIME 2025: 90.2%, WMT24++: 86.7%, MMLU-Pro: 83.7%.

Is K-EXAONE-236B-A23B cheaper than Nemotron 3 Super (120B A12B)?

Nemotron 3 Super (120B A12B) is 6.0x cheaper for input tokens. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli. Nemotron 3 Super (120B A12B) costs $0.10/M input and $0.50/M output via deepinfra.

What are the context window sizes for K-EXAONE-236B-A23B and Nemotron 3 Super (120B A12B)?

K-EXAONE-236B-A23B supports 33K tokens and Nemotron 3 Super (120B A12B) supports 262K 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 Nemotron 3 Super (120B A12B)?

Key differences include context window (33K vs 262K), input pricing ($0.60 vs $0.10/M), licensing (Proprietary vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes K-EXAONE-236B-A23B and Nemotron 3 Super (120B A12B)?

K-EXAONE-236B-A23B is developed by LG AI Research and Nemotron 3 Super (120B A12B) is developed by NVIDIA.

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