Compare models
Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.
| Attribute | Qwen 3 Max (0123)qwen3-max-2026-01-23 | Nemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:free |
|---|---|---|
| Pricing | ||
| Input | $1.25 / 1M | $0 / 1M |
| Output | $5.00 / 1M | $0 / 1M |
| Cache Write (5m) | $1.25 / 1M | — |
| Cache Write (1h) | $1.25 / 1M | — |
| Cache Read | $1.25 / 1M | $0 / 1M |
| Web Search | $0 / 1M | — |
| Cache Write | — | $0 / 1M |
| Context | ||
| Max context | 262K | 1M |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | Yes |
| Function Calling | Yes | Yes |
| JSON Mode | Yes | Yes |
| Streaming | Yes | Yes |
| Catalogue | ||
| Provider | Alibaba | NVIDIA |
| Category | chat | chat |
| Charge type | Pay As You Go | Free |
| Released | — | — |
| Description | ||
| Summary | Qwen3-Max-Thinking is Alibaba's latest flagship reasoning-enhanced large language model, evolving the Qwen3-Max architecture to emphasize deep, multi-step analytical reasoning and tool collaboration. It scales the model's capacity significantly—reportedly to over 1 trillion parameters—and integrates a “Thinking Mode” where the model can expose and leverage step-by-step reasoning traces before producing final answers, enabling more reliable solutions to complex problems such as advanced mathematics, logic, and multi-stage tasks. | NVIDIA Nemotron 3.5 Super VL is an open multimodal Mixture-of-Experts (MoE) model featuring 120B total parameters with 12B activated per token. Built on a hybrid Mamba–Transformer architecture with multi-token prediction, it supports text, images, documents, GUI screenshots, and video inputs, along with a 1M-token context window for complex, long-horizon workflows. Optimized for multimodal reasoning, visual understanding, and agentic tool use, the model supports configurable reasoning modes and token budgets. It is well suited for document intelligence, web research, coding validation, customer service, GUI analysis, and video understanding, enabling efficient, long-running multimodal agent applications. |