Inference.net lists 2 models and OpenAI 130. 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 | OpenAI | |
|---|---|---|
| Models listed | 2 | 130 |
| Models with published pricing | 2 | 130 |
| Typical price (median, 3:1 blend per 1M) | $0.08 | $3.34 |
| Cheapest paid model | Inference.net: Schematron V2 Turbo ($0.06) | OpenAI: gpt-oss-20b ($0.04) |
| Longest context | Inference.net: Schematron V2 Small (128K) | OpenAI: GPT-5.4 (1.1M) |
| Free models | 0 | 2 |
| Newest model | Inference.net: Schematron V2 Small (2026-09-12) | OpenAI: GPT-6.1 Terra (2026-10-26) |
| Price changes in the last 90 days | 0 | 28 |
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 | OpenAI |
|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation | $5.25 with Inference.net: Schematron V2 Turbo | $3.15 with OpenAI: gpt-oss-20b |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages | $5.10 with Inference.net: Schematron V2 Turbo | $3.06 with OpenAI: gpt-oss-20b |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context | no suitable model | $3.24 with OpenAI: gpt-oss-20b |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page | $3.30 with Inference.net: Schematron V2 Turbo | $1.98 with OpenAI: gpt-oss-20b |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass | $1.65 with Inference.net: Schematron V2 Turbo | $0.99 with OpenAI: gpt-oss-20b |
| You need | Inference.net | OpenAI |
|---|---|---|
| Any model | Inference.net: Schematron V2 Turbo ($0.06) | OpenAI: gpt-oss-20b ($0.04) |
| With tool calling | none listed | OpenAI: gpt-oss-20b ($0.04) |
| With image input | none listed | OpenAI: GPT-5 Nano (batch) ($0.07) |
| With reasoning mode | none listed | OpenAI: gpt-oss-20b ($0.04) |
| 128K+ context | Inference.net: Schematron V2 Turbo ($0.06) | OpenAI: gpt-oss-20b ($0.04) |
| 1M+ context | none listed | OpenAI: GPT-4.1 Nano (batch) ($0.09) |
| Model type | Inference.net | OpenAI |
|---|---|---|
| text+audio->text+audio | 0 | 3 |
| text+file->text | 0 | 4 |
| text+image+file->text | 0 | 93 |
| text+image+file->text+image | 0 | 3 |
| text+image->text | 0 | 8 |
| text->text | 2 | 19 |
| Price per 1M (3:1 blend) | Inference.net | OpenAI |
|---|---|---|
| Free | 0 | 2 |
| Under $0.50 | 2 | 27 |
| $0.50 – $3 | 0 | 36 |
| $3 – $10 | 0 | 38 |
| $10 and up | 0 | 27 |
Inference.net is cheaper on a typical model: a median of $0.08 per 1M tokens (3:1 input/output) against $3.34 for OpenAI. The cheapest paid models are Inference.net: Schematron V2 Turbo at $0.06 and OpenAI: gpt-oss-20b at $0.04.
It depends on the job: OpenAI offers the broader line-up (2 models vs 130), Inference.net the lower typical price, OpenAI the longest context (1.1M tokens). The workload table above shows which wins for chat, RAG, agents, batch jobs and long documents.
OpenAI: Inference.net lists 2 models and OpenAI lists 130.
OpenAI: Inference.net's longest is Inference.net: Schematron V2 Small at 128K tokens; OpenAI's is OpenAI: GPT-5.4 at 1.1M.
Inference.net: none. OpenAI: 2 free models (e.g. OpenAI: gpt-oss-120b (free)).
Inference.net: 0 of 2 models accept images. OpenAI: 104 of 130.