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. | 30B | 9B |
| 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. | $0.05Novita | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.20Novita | — |
These models have no shared benchmark scores. | ||
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. | 28% | — |
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | 68.3% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 73% | — |
| Overview | ||
| Company | NVIDIA | Z.ai |
| Release date | Dec 15 2025 | Jun 5 2024 |
| Access | Open Source | Open Weight |
| Model details | View model | View model |
Other comparisons
Nemotron 3 NanovsClaude Haiku 5.5GLM-4-9BvsClaude Haiku 5.5Nemotron 3 NanovsGPT-6.1 SolGLM-4-9BvsGPT-6.1 SolNemotron 3 NanovsGemini 4 ArgonGLM-4-9BvsGemini 4 ArgonNemotron 3 NanovsMuse Spark 1.3GLM-4-9BvsMuse Spark 1.3Nemotron 3 NanovsGrok 4.7GLM-4-9BvsGrok 4.7Nemotron 3 NanovsDeepSeek-V4.1-FlashGLM-4-9BvsDeepSeek-V4.1-FlashFrequently asked questions
Nemotron 3 Nano and GLM-4-9B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GLM-4-9B shipped 558 days before Nemotron 3 Nano, so benchmark comparisons should account for the intervening progress.
Nemotron 3 Nano has 30B parameters, while GLM-4-9B has 9B. Nemotron 3 Nano is open source, while GLM-4-9B is open weight.
Direct benchmark comparisons are unavailable — Nemotron 3 Nano and GLM-4-9B don't publish scores on any of the same benchmarks.