Inference.net lists 2 models and Meta 16. Inference.net is cheaper on a typical model ($0.08 per 1M tokens median). Below: line-up, price tiers, the cheapest model for each capability, and what each costs for five real workloads.
| Inference.net | Meta | |
|---|---|---|
| Models listed | 2 | 16 |
| Models with published pricing | 2 | 16 |
| Typical price (median, 3:1 blend per 1M) | $0.08 | $0.15 |
| Cheapest paid model | Inference.net: Schematron V2 Turbo ($0.06) | Llama Guard 3 8B ($0.03) |
| Longest context | Inference.net: Schematron V2 Small (128K) | Meta: Llama 4 Scout (1.3M) |
| Free models | 0 | 2 |
| Newest model | Inference.net: Schematron V2 Small (2026-09-12) | Meta: Llama Guard 4 12B (2025-04-30) |
| Price changes in the last 90 days | 0 | 30 |
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) | Inference.net | Meta |
|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation | $5.25 with Inference.net: Schematron V2 Turbo | $2.70 with Llama Guard 3 8B |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages | $5.10 with Inference.net: Schematron V2 Turbo | $3.00 with Llama Guard 3 8B |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context | no suitable model | $6.96 with meta-llama/Llama-3.1-8B-Instruct |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page | $3.30 with Inference.net: Schematron V2 Turbo | $1.96 with Llama Guard 3 8B |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass | $1.65 with Inference.net: Schematron V2 Turbo | $1.06 with Llama Guard 3 8B |
| You need | Inference.net | Meta |
|---|---|---|
| Any model | Inference.net: Schematron V2 Turbo ($0.06) | Llama Guard 3 8B ($0.03) |
| With tool calling | none listed | Meta: Llama 3 8B Instruct ($0.03) |
| With image input | none listed | Meta: Llama 3.2 11B Vision Instruct ($0.05) |
| With reasoning mode | none listed | none listed |
| 128K+ context | Inference.net: Schematron V2 Turbo ($0.06) | Llama Guard 3 8B ($0.03) |
| 1M+ context | none listed | Meta: Llama 4 Scout ($0.15) |
| Model type | Inference.net | Meta |
|---|---|---|
| text+image->text | 0 | 4 |
| text->text | 2 | 12 |
| Price per 1M (3:1 blend) | Inference.net | Meta |
|---|---|---|
| Free | 0 | 2 |
| Under $0.50 | 2 | 11 |
| $0.50 – $3 | 0 | 1 |
| $3 – $10 | 0 | 2 |
| $10 and up | 0 | 0 |
Inference.net is cheaper on a typical model: a median of $0.08 per 1M tokens (3:1 input/output) against $0.15 for Meta. The cheapest paid models are Inference.net: Schematron V2 Turbo at $0.06 and Llama Guard 3 8B at $0.03.
It depends on the job: Meta offers the broader line-up (2 models vs 16), Inference.net the lower typical price, Meta the longest context (1.3M tokens). The workload table above shows which wins for chat, RAG, agents, batch jobs and long documents.
Meta: Inference.net lists 2 models and Meta lists 16.
Meta: Inference.net's longest is Inference.net: Schematron V2 Small at 128K tokens; Meta's is Meta: Llama 4 Scout at 1.3M.
Inference.net: none. Meta: 2 free models (e.g. Meta: Llama 3.2 3B Instruct (free)).
Inference.net: 0 of 2 models accept images. Meta: 4 of 16.