Is Google better than Xingchen Agi?
It depends on the job: Google offers the broader line-up (58 models vs 1), Google the longest context (1.0M tokens). The workload table above shows which wins for chat, RAG, agents, batch jobs and long documents.
Google lists 58 models and Xingchen Agi 1. Below: line-up, price tiers, the cheapest model for each capability, and what each costs for five real workloads.
| Xingchen Agi | ||
|---|---|---|
| Models listed | 58 | 1 |
| Models with published pricing | 57 | 1 |
| Typical price (median, 3:1 blend per 1M) | $0.80 | n/a |
| Cheapest paid model | Google: Gemma 2 9B ($0.04) | n/a |
| Longest context | Google: Gemini 2.0 Flash (1.0M) | XingChen: Xing4.0 29B A4B (free) (262K) |
| Free models | 9 | 1 |
| Newest model | Google: Gemini 4 Argon (2026-10-13) | XingChen: Xing4.0 29B A4B (free) (2026-10-16) |
| Price changes in the last 90 days | 24 | 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) | Xingchen Agi | |
|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation | $4.05 with Google: Gemma 2 9B | no suitable model |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages | $4.50 with Google: Gemma 2 9B | no suitable model |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context | $7.80 with Google: Gemma 3 12B | no suitable model |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page | $4.60 with google/gemma-3-4b-it | no suitable model |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass | $2.60 with google/gemma-3-4b-it | no suitable model |
| You need | Xingchen Agi | |
|---|---|---|
| Any model | Google: Gemma 2 9B ($0.04) | none listed |
| With tool calling | Google: Gemma 3 12B ($0.08) | none listed |
| With image input | google/gemma-3-4b-it ($0.06) | none listed |
| With reasoning mode | Google: Gemini 2.5 Flash Lite (batch) ($0.09) | none listed |
| 128K+ context | google/gemma-3-4b-it ($0.06) | none listed |
| 1M+ context | Google: Gemini 2.5 Flash Lite (batch) ($0.09) | none listed |
| Model type | Xingchen Agi | |
|---|---|---|
| text+image+file+audio+video->text | 31 | 0 |
| text+image+file+audio->text | 1 | 0 |
| text+image+video->text | 5 | 0 |
| text+image->text | 6 | 0 |
| text+image->text+audio | 2 | 0 |
| text+image->text+image | 7 | 0 |
| text->text | 6 | 1 |
| Price per 1M (3:1 blend) | Xingchen Agi | |
|---|---|---|
| Free | 9 | 1 |
| Under $0.50 | 15 | 0 |
| $0.50 – $3 | 22 | 0 |
| $3 – $10 | 11 | 0 |
| $10 and up | 0 | 0 |
It depends on the job: Google offers the broader line-up (58 models vs 1), Google the longest context (1.0M tokens). The workload table above shows which wins for chat, RAG, agents, batch jobs and long documents.
Google: Google lists 58 models and Xingchen Agi lists 1.
Google: Google's longest is Google: Gemini 2.0 Flash at 1.0M tokens; Xingchen Agi's is XingChen: Xing4.0 29B A4B (free) at 262K.
Google: 9 free models (e.g. Google: Gemma 3 12B (free)). Xingchen Agi: 1 free model (e.g. XingChen: Xing4.0 29B A4B (free)).
Google: 52 of 58 models accept images. Xingchen Agi: 0 of 1.