Kimi K2vsNemotron 3 Super
Kimi K2 | Nemotron 3 Super | |
|---|---|---|
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | 1T | 120B |
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | 128k | 1M |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.57Novita | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $2.30Novita | — |
| Benchmarks | ||
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 65.8% | 60.5% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 75.1% | 79.2% |
| BenchmarksPublished by one model only | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 10% | — |
AA Intelligence IndexOverall intelligence — Artificial Analysis composite intelligence index across evals | — | 36 |
| Overview | ||
| Company | Moonshot AI | NVIDIA |
| Release date | Jul 11 2025 | Mar 11 2026 |
| Access | Open Weight | Open Source |
Other comparisons
Frequently asked questions
Kimi K2 and Nemotron 3 Super are evenly matched across the 2 benchmarks they both report (SWE-Bench Verified, GPQA Diamond). Kimi K2 shipped 243 days before Nemotron 3 Super, so benchmark comparisons should account for the intervening progress.
Kimi K2 has 1T parameters, while Nemotron 3 Super has 120B. Context windows are 128k (Kimi K2) vs 1M (Nemotron 3 Super). Kimi K2 is open weight, while Nemotron 3 Super is open source.
On SWE-Bench Verified, Kimi K2 leads at 65.8% vs Nemotron 3 Super at 60.5%. On GPQA Diamond, Nemotron 3 Super leads at 79.2% vs Kimi K2 at 75.1%.
Kimi K2 was released by Moonshot AI on Jul 11 2025.
Nemotron 3 Super was released by NVIDIA on Mar 11 2026.
Kimi K2 leads on SWE-Bench Verified — Kimi K2 65.8% vs Nemotron 3 Super 60.5%.
Nemotron 3 Super leads on GPQA Diamond — Kimi K2 75.1% vs Nemotron 3 Super 79.2%.
Kimi K2 has a 128k context window; Nemotron 3 Super has 1M.
Kimi K2 is an open weight model released by Moonshot AI. Nemotron 3 Super is an open source model released by NVIDIA.