Is Nvidia better than Xingchen Agi?
It depends on the job: Nvidia offers the broader line-up (22 models vs 1), Nvidia the longest context (1.0M tokens). The workload table above shows which wins for chat, RAG, agents, batch jobs and long documents.
Nvidia lists 22 models and Xingchen Agi 1. Below: line-up, price tiers, the cheapest model for each capability, and what each costs for five real workloads.
| Nvidia | Xingchen Agi | |
|---|---|---|
| Models listed | 22 | 1 |
| Models with published pricing | 22 | 1 |
| Typical price (median, 3:1 blend per 1M) | $0.18 | n/a |
| Cheapest paid model | NVIDIA: Switchyard ($-1000000.0000) | n/a |
| Longest context | NVIDIA: Nemotron 3.5 Super VL (1.0M) | XingChen: Xing4.0 29B A4B (free) (262K) |
| Free models | 9 | 1 |
| Newest model | NVIDIA: Nemotron 3.5 Super VL (2026-10-15) | XingChen: Xing4.0 29B A4B (free) (2026-10-16) |
| Price changes in the last 90 days | 35 | 0 |
For each workload: the cheapest model from each provider that can actually do it (fits the context window; tool calling required for the agent), and its monthly cost at list price.
| Workload (per month) | Nvidia | Xingchen Agi |
|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation | $-95000000.0000 with NVIDIA: Switchyard | no suitable model |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages | $-130000000.0000 with NVIDIA: Switchyard | no suitable model |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context | $6.72 with NVIDIA: Nemotron Nano 9B V2 | no suitable model |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page | $-86000000.0000 with NVIDIA: Switchyard | no suitable model |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass | $-51000000.0000 with NVIDIA: Switchyard | no suitable model |
| You need | Nvidia | Xingchen Agi |
|---|---|---|
| Any model | NVIDIA: Switchyard ($-1000000.0000) | none listed |
| With tool calling | NVIDIA: Nemotron Nano 9B V2 ($0.07) | none listed |
| With image input | NVIDIA: Nemotron 3.5 Super VL ($0.18) | none listed |
| With reasoning mode | NVIDIA: Nemotron Nano 9B V2 ($0.07) | none listed |
| 128K+ context | NVIDIA: Switchyard ($-1000000.0000) | none listed |
| 1M+ context | NVIDIA: Switchyard ($-1000000.0000) | none listed |
| Model type | Nvidia | Xingchen Agi |
|---|---|---|
| text+image+audio+video->text | 1 | 0 |
| text+image+video->text | 4 | 0 |
| text+image->text | 2 | 0 |
| text->text | 15 | 1 |
| Price per 1M (3:1 blend) | Nvidia | Xingchen Agi |
|---|---|---|
| Free | 9 | 1 |
| Under $0.50 | 8 | 0 |
| $0.50 – $3 | 4 | 0 |
| $3 – $10 | 0 | 0 |
| $10 and up | 0 | 0 |
It depends on the job: Nvidia offers the broader line-up (22 models vs 1), Nvidia the longest context (1.0M tokens). The workload table above shows which wins for chat, RAG, agents, batch jobs and long documents.
Nvidia: Nvidia lists 22 models and Xingchen Agi lists 1.
Nvidia: Nvidia's longest is NVIDIA: Nemotron 3.5 Super VL at 1.0M tokens; Xingchen Agi's is XingChen: Xing4.0 29B A4B (free) at 262K.
Nvidia: 9 free models (e.g. NVIDIA: Nemotron 3 Nano 30B A3B (free)). Xingchen Agi: 1 free model (e.g. XingChen: Xing4.0 29B A4B (free)).
Nvidia: 7 of 22 models accept images. Xingchen Agi: 0 of 1.