AI21 lists 1 models and Inference.net 2. 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.
| AI21 | Inference.net | |
|---|---|---|
| Models listed | 1 | 2 |
| Models with published pricing | 1 | 2 |
| Typical price (median, 3:1 blend per 1M) | $3.50 | $0.08 |
| Cheapest paid model | AI21: Jamba Large 1.7 ($3.50) | Inference.net: Schematron V2 Turbo ($0.06) |
| Longest context | AI21: Jamba Large 1.7 (256K) | Inference.net: Schematron V2 Small (128K) |
| Free models | 0 | 0 |
| Newest model | AI21: Jamba Large 1.7 (2025-08-08) | Inference.net: Schematron V2 Small (2026-09-12) |
| Price changes in the last 90 days | 0 | 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) | AI21 | Inference.net |
|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation | $310 with AI21: Jamba Large 1.7 | $5.25 with Inference.net: Schematron V2 Turbo |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages | $320 with AI21: Jamba Large 1.7 | $5.10 with Inference.net: Schematron V2 Turbo |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context | $336 with AI21: Jamba Large 1.7 | no suitable model |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page | $208 with AI21: Jamba Large 1.7 | $3.30 with Inference.net: Schematron V2 Turbo |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass | $108 with AI21: Jamba Large 1.7 | $1.65 with Inference.net: Schematron V2 Turbo |
| You need | AI21 | Inference.net |
|---|---|---|
| Any model | AI21: Jamba Large 1.7 ($3.50) | Inference.net: Schematron V2 Turbo ($0.06) |
| With tool calling | AI21: Jamba Large 1.7 ($3.50) | none listed |
| With image input | none listed | none listed |
| With reasoning mode | none listed | none listed |
| 128K+ context | AI21: Jamba Large 1.7 ($3.50) | Inference.net: Schematron V2 Turbo ($0.06) |
| 1M+ context | none listed | none listed |
| Model type | AI21 | Inference.net |
|---|---|---|
| text->text | 1 | 2 |
| Price per 1M (3:1 blend) | AI21 | Inference.net |
|---|---|---|
| Free | 0 | 0 |
| Under $0.50 | 0 | 2 |
| $0.50 – $3 | 0 | 0 |
| $3 – $10 | 1 | 0 |
| $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 $3.50 for AI21. The cheapest paid models are AI21: Jamba Large 1.7 at $3.50 and Inference.net: Schematron V2 Turbo at $0.06.
It depends on the job: Inference.net offers the broader line-up (1 models vs 2), Inference.net the lower typical price, AI21 the longest context (256K tokens). The workload table above shows which wins for chat, RAG, agents, batch jobs and long documents.
Inference.net: AI21 lists 1 models and Inference.net lists 2.
AI21: AI21's longest is AI21: Jamba Large 1.7 at 256K tokens; Inference.net's is Inference.net: Schematron V2 Small at 128K.
Neither lists a free model; both are pay-per-token.
AI21: 0 of 1 models accept images. Inference.net: 0 of 2.