AI Pricing Hub Guide

Source-backed AI pricing

Cheapest AI API models for a real workload

Rank the cheapest AI API models for a standard monthly workload using source-backed token prices.

Content quality

Guide context

This page adds interpretation around the raw pricing table so readers can compare cost, context, source, and history together. Cheapest AI API models for a real workload summarizes current pricing concepts using generated data and links to pages where the numbers can be checked.

Sample monthly cost$1.97

OpenRouter - mistralai/mistral-nemo

Model12

Prices are normalized from official provider pricing sources. Marketplace offers are labeled by hosting platform; verify the linked source before purchasing or deploying.

Provider pricing

Cheapest AI API models for a real workload

Sample workload: 10,000 requests/month, 8,000 input tokens, 1,500 output tokens, 30% cached input when listed.

ProviderModelInput / 1MCached / 1MOutput / 1MSample monthly costSource
OpenRoutermistralai/mistral-nemo
USD per 1M tokens
$0.019Not listed$0.030$1.97Source
OpenRouterinclusionai/ling-3.0-flash-vl
USD per 1M tokens
$0.021$0.004$0.062$2.20Source
OpenRouterinclusionai/ling-3.0-flash
USD per 1M tokens
$0.021$0.004$0.063$2.22Source
OpenRouteropenai/gpt-oss-20b
USD per 1M tokens
$0.018$0.009$0.090$2.57Source
Groqmeta-llama/llama-prompt-guard-2-22m
USD per 1M tokens
$0.030Not listed$0.030$2.85Source
OpenRouternex-agi/nex-n2.5-mini
USD per 1M tokens
$0.025$0.003$0.100$2.96Source
OpenRouteribm-granite/granite-4.0-h-micro
USD per 1M tokens
$0.017Not listed$0.112$3.04Source
OpenRouteropenai/gpt-oss-20b:batch
USD per 1M tokens
$0.024Not listed$0.112$3.60Source
Groqmeta-llama/llama-prompt-guard-2-86m
USD per 1M tokens
$0.040Not listed$0.040$3.80Source
OpenRoutersao10k/l3-lunaris-8b
USD per 1M tokens
$0.040Not listed$0.050$3.95Source
OpenRouterinclusionai/ling-3.0-flash-fin
USD per 1M tokens
$0.042$0.008$0.123$4.40Source
OpenRouteropenai/gpt-oss-120b:batch
USD per 1M tokens
$0.030Not listed$0.136$4.41Source

Guide

Related pricing pages

Contextual insights

Cheapest AI API models for a real workload data notes

Pricing and context
  • Cheapest AI API models for a real workload summarizes current pricing concepts using generated data and links to pages where the numbers can be checked.
  • The most useful next step is to test the same assumptions in the calculator or Model Finder.
  • Because provider pricing can change, the guide should be read with the last updated and data source sections below.
Data source

Current pricing comes from dist/data/providers.json, provider history files in dist/data/history/, and generated internal page links. The public build was last generated on 2026-10-07.

Methodology

Guide copy is supported by the generated pricing catalog and links to data-backed pages for verification.

Last updated2026-10-07

Static build timestamp from the pricing dataset.

ConclusionUse current data

For planning purposes is that Cheapest AI API models for a real workload should be evaluated through the page's linked price, source, history, and related model context. Cheapest AI API models for a real workload summarizes current pricing concepts using generated data and links to pages where the numbers can be checked.

Editorial information

Reviewed by AI Pricing Hub Editorial

Last updated

2026-10-07

Methodology

Methodology explains collection, validation, limitations, and update cadence.