AI Pricing Hub Workload cost comparisons
AI model cost by workload

AI chatbot model cost comparison

Chatbot workloads need predictable request cost, fast general-purpose models, and enough context for conversation history.

Assumptions: 100,000 requests/month, 1,200 input tokens/request, 350 output tokens/request, and 15% cached input when cached pricing is listed.

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Content quality

Workload context

This page adds interpretation around the raw pricing table so readers can compare cost, context, source, and history together. AI chatbot model cost comparison translates token pricing into a concrete workload estimate rather than a single per-token rate.

Cost-based result

Lowest estimated cost

OpenRouter openai/gpt-oss-20b has the lowest estimated monthly cost among current eligible matches. This is a cost comparison, not an independent model-quality benchmark.

Eligible matches249

Filtered from current pricing data using visible workload metadata.

Lowest estimated monthly cost$5.15

Estimated from the page assumptions and current listed token pricing.

Cost comparison

Lowest estimated-cost models

OpenRouter

openai/gpt-oss-20b

Estimated monthly cost $5.15 using this page's listed workload assumptions.

OpenRouter

openai/gpt-oss-120b

Estimated monthly cost $10.39 using this page's listed workload assumptions.

Methodology and limits

What this comparison does and does not measure

Costs use current listed token pricing, the assumptions shown above, and visible workload metadata. This page does not independently benchmark model quality, accuracy, latency, or task outcomes. Choose a model after reviewing its linked provider pricing and model details.

Monthly cost examples

Common usage scenarios

Usage exampleRequests / monthInput tokensOutput tokensopenai/gpt-oss-20bopenai/gpt-oss-20b:batchopenai/gpt-oss-120b:batch
Startup support bot50,000900250$1.87$2.48$3.03
Growth product assistant250,0001,200350$12.87$17$20.78
High-volume chat widget1,000,000900220$34.79$46.24$56.56

Static SVG charts

Workload cost charts

Lowest estimated costsEstimated monthly cost for eligible models with the lowest listed cost.Lowest estimated costsopenai/gpt-oss-20b$5.15openai/gpt-oss-20b:batch$6.8openai/gpt-oss-120b:batc$8.31openai/gpt-5-nano:batch$9.6openai/gpt-oss-120b$10.39
Monthly spend examplesMonthly spend for common usage examples using the lowest estimated-cost eligible model.Monthly spend examplesStartup support bot$1.87Growth product assistant$12.87High-volume chat widget$34.79
Provider distributionProvider distribution for matched workload models.Provider distributionOpenRouter117OpenAI79Groq3Google Gemini28Anthropic22
Price rangesMonthly price range by provider for this workload.Price rangesOpenRouter range$8,394.85OpenAI range$5,680.81Groq range$19.5Google Gemini range$779.87Anthropic range$2,760.12

Comparison table

Model comparison

#ProviderModelInput / 1MOutput / 1MMonthly costContext windowProvider page
1OpenRouteropenai/gpt-oss-20b$0.018$0.09$5.15131,072OpenRouter pricing
2OpenRouteropenai/gpt-oss-20b:batch$0.024$0.112$6.8131,072OpenRouter pricing
3OpenRouteropenai/gpt-oss-120b:batch$0.0296$0.136$8.31131,072OpenRouter pricing
4OpenRouteropenai/gpt-5-nano:batch$0.025$0.2$9.6400,000OpenRouter pricing
5OpenRouteropenai/gpt-oss-120b$0.037$0.17$10.39131,072OpenRouter pricing
6OpenRoutergoogle/gemini-2.5-flash-lite:batch$0.05$0.2$12.281,048,576OpenRouter pricing
7OpenRouteropenai/gpt-4.1-nano:batch$0.05$0.2$12.331,047,576OpenRouter pricing
8OpenRouteropenai/gpt-4o-mini:batch$0.075$0.3$18.83128,000OpenRouter pricing
9OpenRouteropenai/gpt-oss-safeguard-20b$0.075$0.3$18.83131,072OpenRouter pricing
10OpenAIgpt-5-nano$0.05$0.4$19.19272,000OpenAI pricing
11OpenAIgpt-5-nano-2025-08-07$0.05$0.4$19.19272,000OpenAI pricing
12OpenRouteropenai/gpt-5-nano$0.05$0.4$19.19400,000OpenRouter pricing
13Groqopenai/gpt-oss-20b$0.075$0.3$19.5131,072Groq pricing
14Groqopenai/gpt-oss-safeguard-20b$0.075$0.3$19.5131,072Groq pricing
15Google Geminigemini-2.5-flash-lite$0.1$0.4$24.381,048,576Google Gemini pricing
16OpenRoutergoogle/gemini-2.5-flash-lite$0.1$0.4$24.381,048,576OpenRouter pricing
17OpenAIgpt-4.1-nano$0.1$0.4$24.651,047,576OpenAI pricing
18OpenAIgpt-4.1-nano-2025-04-14$0.1$0.4$24.651,047,576OpenAI pricing
19OpenRouteropenai/gpt-4.1-nano$0.1$0.4$24.651,047,576OpenRouter pricing
20Anthropicclaude-haiku-5-5$0.1$0.5$27.881,000,000Anthropic pricing

FAQ

Workload cost comparison FAQ

How are workload costs calculated?

Each page filters current AI Pricing Hub model data with visible workload metadata and the token assumptions shown on the page, then estimates monthly cost from listed token pricing.

Does the lowest estimated cost mean the best model?

No. These pages compare listed cost and visible metadata only. They do not independently measure model quality, accuracy, latency, or task outcomes.

Do these estimates include provider-specific discounts?

No. Monthly examples use listed token prices only and do not include taxes, discounts, rate limits, or account-specific terms.

Contextual insights

AI chatbot model cost comparison data notes

Pricing and context
  • AI chatbot model cost comparison translates token pricing into a concrete workload estimate rather than a single per-token rate.
  • The recommendation depends on the workload assumptions shown on the page and available model metadata.
  • Higher context or richer modalities may justify a more expensive model when the workload needs those capabilities.
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

Workload pages estimate monthly cost from requests, input tokens, output tokens, cache share, and current per-million-token rates.

Last updated2026-10-07

Static build timestamp from the pricing dataset.

ConclusionUse current data

For planning purposes is that AI chatbot model cost comparison should be evaluated through the page's linked price, source, history, and related model context. AI chatbot model cost comparison translates token pricing into a concrete workload estimate rather than a single per-token rate.

Related workloads

Related cost comparisons

Workload

RAG AI model cost comparison

RAG workloads usually spend more on input tokens because retrieved passages are sent with every request.

Public API

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Use static JSON endpoints for providers, models, rankings, history, market metrics, and changelog events.

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Monthly pricing moves, new model launches, and practical cost notes. Provider integration is not enabled yet.

Editorial information

Reviewed by AI Pricing Hub Editorial

Last updated

2026-10-07

Methodology

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