AI Model Comparison
Side-by-side comparison of pricing, context window, benchmarks, capabilities, and license. Every figure comes from the developer's own pages, last checked on ; each model's page lists its sources. A figure we could not source shows as a dash.
Model A — LG AI Research
K-EXAONE 2.0 is a multilingual model from LG AI Research, released on July 31, 2026 and upcycled from K-EXAONE to more than three times its size, focused on reasoning, agentic workflows and long-context work. It covers ten languages, including Korean, English and Japanese.
Model B — NVIDIA
Nemotron 3.5 Lightning is a 30B-parameter (3B active) open-weight language model from NVIDIA, released on August 11, 2026 with a hybrid Mamba-2 and mixture-of-experts architecture. NVIDIA says it supports up to 1M tokens of context and is ready for commercial use.
| Property | K-EXAONE 2.0 | NVIDIA Nemotron 3.5 Lightning |
|---|---|---|
| Released | Jul 31, 2026 | Aug 11, 2026 |
| Developer | LG AI Research | NVIDIA |
| Type | llm | llm |
| License | open-weight | open-weight |
| Context window | 262,144 | — |
| Parameters | 750B total, 37B active (Mixture of Experts) | 30B total, 3B active (Mamba-2 + MoE + attention hybrid) |
| Developer status | — | — |
| Input $/M tokens | — | — |
| Output $/M tokens | — | — |
Bold green values indicate the winner on that dimension where comparison is meaningful (lower price wins; bigger context wins; more open license wins; newer date wins). Prices are the ones each developer lists today; a model it no longer prices has none.
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