NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning tra…
Model details →NVIDIA: Nemotron Nano 9B V2 (free) vs Qwen: Qwen3 VL 235B A22B Thinking
NVIDIA: Nemotron Nano 9B V2 (free) and Qwen: Qwen3 VL 235B A22B Thinking are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math. The series emphasizes robust…
Model details →Side-by-side comparison
| Capability | NVIDIA: Nemotron Nano 9B V2 (free) | Qwen: Qwen3 VL 235B A22B Thinking | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 131K | 🏆 Qwen: Qwen3 VL 235B A22B Thinking |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.00 | $0.26 | 🏆 NVIDIA: Nemotron Nano 9B V2 (free) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.00 | $2.60 | 🏆 NVIDIA: Nemotron Nano 9B V2 (free) |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Qwen: Qwen3 VL 235B A22B Thinking |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is NVIDIA: Nemotron Nano 9B V2 (free) better than Qwen: Qwen3 VL 235B A22B Thinking?
NVIDIA: Nemotron Nano 9B V2 (free) and Qwen: Qwen3 VL 235B A22B Thinking are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between NVIDIA: Nemotron Nano 9B V2 (free) and Qwen: Qwen3 VL 235B A22B Thinking?
Input: $0.00 vs $0.26 per 1M tokens. Output: $0.00 vs $2.60 per 1M tokens.
What context windows do NVIDIA: Nemotron Nano 9B V2 (free) and Qwen: Qwen3 VL 235B A22B Thinking support?
NVIDIA: Nemotron Nano 9B V2 (free) supports up to 128K tokens. Qwen: Qwen3 VL 235B A22B Thinking supports up to 131K tokens.
Do both NVIDIA: Nemotron Nano 9B V2 (free) and Qwen: Qwen3 VL 235B A22B Thinking support tool calling?
NVIDIA: Nemotron Nano 9B V2 (free): yes. Qwen: Qwen3 VL 235B A22B Thinking: yes.