Is Meta better than Xingchen Agi?
It depends on the job: Meta offers the broader line-up (16 models vs 1), Meta the longest context (1.3M tokens). The workload table above shows which wins for chat, RAG, agents, batch jobs and long documents.
Meta lists 16 models and Xingchen Agi 1. Below: line-up, price tiers, the cheapest model for each capability, and what each costs for five real workloads.
| Meta | Xingchen Agi | |
|---|---|---|
| Models listed | 16 | 1 |
| Models with published pricing | 16 | 1 |
| Typical price (median, 3:1 blend per 1M) | $0.15 | n/a |
| Cheapest paid model | Llama Guard 3 8B ($0.03) | n/a |
| Longest context | Meta: Llama 4 Scout (1.3M) | XingChen: Xing4.0 29B A4B (free) (262K) |
| Free models | 2 | 1 |
| Newest model | Meta: Llama Guard 4 12B (2025-04-30) | XingChen: Xing4.0 29B A4B (free) (2026-10-16) |
| Price changes in the last 90 days | 28 | 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) | Meta | Xingchen Agi |
|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation | $2.70 with Llama Guard 3 8B | no suitable model |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages | $3.00 with Llama Guard 3 8B | no suitable model |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context | $6.96 with meta-llama/Llama-3.1-8B-Instruct | no suitable model |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page | $1.96 with Llama Guard 3 8B | no suitable model |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass | $1.06 with Llama Guard 3 8B | no suitable model |
| You need | Meta | Xingchen Agi |
|---|---|---|
| Any model | Llama Guard 3 8B ($0.03) | none listed |
| With tool calling | Meta: Llama 3 8B Instruct ($0.03) | none listed |
| With image input | Meta: Llama 3.2 11B Vision Instruct ($0.05) | none listed |
| With reasoning mode | none listed | none listed |
| 128K+ context | Llama Guard 3 8B ($0.03) | none listed |
| 1M+ context | Meta: Llama 4 Scout ($0.15) | none listed |
| Model type | Meta | Xingchen Agi |
|---|---|---|
| text+image->text | 4 | 0 |
| text->text | 12 | 1 |
| Price per 1M (3:1 blend) | Meta | Xingchen Agi |
|---|---|---|
| Free | 2 | 1 |
| Under $0.50 | 11 | 0 |
| $0.50 – $3 | 1 | 0 |
| $3 – $10 | 2 | 0 |
| $10 and up | 0 | 0 |
It depends on the job: Meta offers the broader line-up (16 models vs 1), Meta the longest context (1.3M tokens). The workload table above shows which wins for chat, RAG, agents, batch jobs and long documents.
Meta: Meta lists 16 models and Xingchen Agi lists 1.
Meta: Meta's longest is Meta: Llama 4 Scout at 1.3M tokens; Xingchen Agi's is XingChen: Xing4.0 29B A4B (free) at 262K.
Meta: 2 free models (e.g. Meta: Llama 3.2 3B Instruct (free)). Xingchen Agi: 1 free model (e.g. XingChen: Xing4.0 29B A4B (free)).
Meta: 4 of 16 models accept images. Xingchen Agi: 0 of 1.