Inference.net lists 2 models and Mistral AI 35. 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 | Mistral AI | |
|---|---|---|
| Models listed | 2 | 35 |
| Models with published pricing | 2 | 35 |
| Typical price (median, 3:1 blend per 1M) | $0.08 | $0.39 |
| Cheapest paid model | Inference.net: Schematron V2 Turbo ($0.06) | Mistral: Mistral Nemo ($0.03) |
| Longest context | Inference.net: Schematron V2 Small (128K) | Mistral: Mistral Large 4 (1.0M) |
| Free models | 0 | 1 |
| Newest model | Inference.net: Schematron V2 Small (2026-09-12) | Mistral: Mistral Large 4 (2026-10-06) |
| Price changes in the last 90 days | 0 | 17 |
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 | Mistral AI |
|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation | $5.25 with Inference.net: Schematron V2 Turbo | $2.77 with Mistral: Mistral Nemo |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages | $5.10 with Inference.net: Schematron V2 Turbo | $3.78 with Mistral: Mistral Nemo |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context | no suitable model | $3.84 with Mistral: Mistral Nemo |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page | $3.30 with Inference.net: Schematron V2 Turbo | $2.50 with Mistral: Mistral Nemo |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass | $1.65 with Inference.net: Schematron V2 Turbo | $1.48 with Mistral: Mistral Nemo |
| You need | Inference.net | Mistral AI |
|---|---|---|
| Any model | Inference.net: Schematron V2 Turbo ($0.06) | Mistral: Mistral Nemo ($0.03) |
| With tool calling | none listed | Mistral: Mistral Nemo ($0.03) |
| With image input | none listed | Mistral: Ministral 3 8B 2512 (batch) ($0.07) |
| With reasoning mode | none listed | Mistral: Mistral Small 4 (batch) ($0.13) |
| 128K+ context | Inference.net: Schematron V2 Turbo ($0.06) | Mistral: Mistral Nemo ($0.03) |
| 1M+ context | none listed | Mistral: Mistral Large 4 ($2.06) |
| Model type | Inference.net | Mistral AI |
|---|---|---|
| text+file+audio->text | 0 | 1 |
| text+file->text | 0 | 7 |
| text+image+file->text | 0 | 7 |
| text+image->text | 0 | 11 |
| text->text | 2 | 9 |
| Price per 1M (3:1 blend) | Inference.net | Mistral AI |
|---|---|---|
| Free | 0 | 1 |
| Under $0.50 | 2 | 20 |
| $0.50 – $3 | 0 | 8 |
| $3 – $10 | 0 | 6 |
| $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 $0.39 for Mistral AI. The cheapest paid models are Inference.net: Schematron V2 Turbo at $0.06 and Mistral: Mistral Nemo at $0.03.
It depends on the job: Mistral AI offers the broader line-up (2 models vs 35), Inference.net the lower typical price, Mistral AI the longest context (1.0M tokens). The workload table above shows which wins for chat, RAG, agents, batch jobs and long documents.
Mistral AI: Inference.net lists 2 models and Mistral AI lists 35.
Mistral AI: Inference.net's longest is Inference.net: Schematron V2 Small at 128K tokens; Mistral AI's is Mistral: Mistral Large 4 at 1.0M.
Inference.net: none. Mistral AI: 1 free model (e.g. Mistral: Mistral Small 3.1 24B (free)).
Inference.net: 0 of 2 models accept images. Mistral AI: 18 of 35.