Compare AI models
| 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. | 16B | 74B |
| These models have no shared benchmark scores. | ||
Terminal-Bench 2.1Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. | — | 50.98% |
MCP AtlasMulti-step tool use — Can the AI chain together many tools and steps to complete one bigger task, rather than doing just a single thing? Higher is better. | — | 52.2% |
BrowseCompWeb browsing — Can the AI browse the web and track down hard-to-find answers? Higher is better. | — | 66.75% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 86.43% |
| Overview | ||
| Company | Moonshot AI | NVIDIA |
| Release date | Apr 10 2025 | Oct 15 2026 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
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Kimi-VL and Nemotron 3.5 Bolt 74B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Kimi-VL shipped 553 days before Nemotron 3.5 Bolt 74B, so benchmark comparisons should account for the intervening progress.
Kimi-VL has 16B parameters, while Nemotron 3.5 Bolt 74B has 74B.
Direct benchmark comparisons are unavailable — Kimi-VL and Nemotron 3.5 Bolt 74B don't publish scores on any of the same benchmarks.