Nemotron Cascade 2 30B A3B
nemotron-cascade-2-30bnvidia-nemotron-cascade-2-30b-a3b- - 🧠 Reasoning-optimized 30B Mixture-of-Experts model with only 3B activated parameters
- - 🏢 Built by NVIDIA, post-trained from Nemotron-3-Nano-30B-A3B-Base
- - 💬 Operates in both thinking and instruct (non-thinking) modes
- - 📏 256K-token context in this build; model card cites support up to 1M tokens
- - 🔧 Targets function-calling and agentic tasks via OpenHands
- - 🎯 NVIDIA reports gold-medal IMO 2025 and IOI 2025 performance
- - ⚡ Released under the NVIDIA Open Model License, FP8 quantized
Nvidia Corporation is an American technology company founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, headquartered in Santa Clara, California. Long recognized as the dominant force in graphics processing units, Nvidia has expanded into a central pillar of…
Explore 4 more models by Nvidia →Nemotron Cascade 2 30B A3B is NVIDIA's reasoning-focused open-weight model, structured as a 30B Mixture-of-Experts network that activates only about 3B parameters per token for efficient inference. It is post-trained from the NVIDIA Nemotron 3 Nano 30B base (Nemotron-Nano-V3), inheriting that architecture while layering on a new reasoning recipe. The model follows a ChatML template and can switch between extended chain-of-thought "thinking" mode and a direct instruct mode by prepending an empty reasoning block.
The headline change over its base predecessor is the post-training method NVIDIA calls Cascade RL, expanded to a broader spectrum of reasoning and agentic domains, plus multi-domain on-policy distillation from the strongest intermediate teacher models. NVIDIA reports that Cascade 2 improves on the Nemotron-Nano-V3 base across nearly every benchmark, and that it reaches gold-medal-level results on the 2025 IMO, IOI, and ICPC World Finals. These olympiad figures are vendor-reported.
On context and modality, this catalog build exposes a 256K-token window, matching NVIDIA's default vLLM configuration, though the model card states support up to 1M tokens. The model is text-only and does not handle image input.
Independently, Artificial Analysis places Cascade 2 at 28 on its Intelligence Index. The collection ships under the NVIDIA Open Model License, which permits commercial use, with checkpoints and training data released.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
Daily usage · Nemotron Cascade 2 30B A3B · Organic sellers
| Seller | Rep↓ | Sales | Tokens | Routing | Input $/M | Cached $/M | Output $/M | Save |
|---|---|---|---|---|---|---|---|---|
| Apex TEE Test 0xe672…7955 | 0.00 | — | — | gated | $0.0924 | $0.0924 | $0.528 | −34% |
| antseed-neon-puma-944e 0x6650…944e | 0.00 | — | — | gated | $0.0477 | $0.0477not advertised | $0.2728 | −66% |
| Leftermute 0x388b…5389 | 0.00 | — | — | gated | $0.0283 | $0.0283not advertised | $0.1616 | −80% |
| Meridian AI 0x8c8c…06f5 | 0.00 | — | — | gated | $0.0227 | $0.0227not advertised | $0.1296 | −84% |
"Best price" and the seller table are live Antseed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = buyer trust score (0-100, the Antseed SDK's own formula). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on Antseed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.