Consulting · AICost Optimize

AICost Optimize

What to change. With dollar savings.

AICost offers 42 free AI cost calculators →, 42 expert guides →, and TCO & ROI playbooks → for self-service. But when you need expert help quickly to gain visibility into your AI & cloud spend for your workload, choose one of the offers below.

You get diagnosis + 3 specific optimization levers with $/month savings estimates and implementation effort. Plus the ToolsInfo workflow-automation pairing where it fits.

Three sizes — pick the one that fits

Pay via Stripe, then schedule your kickoff call.

AICost Optimize Personal

Indie devs · vibecoders ready to act

$99 one-time

⏱ 48-hour async turnaround

  • Everything in Clarity Personal, plus:
  • 3 specific changes you should make this week
  • Each with $/month savings estimate + effort tag (5 min / 1 hour / 1 day)
  • 15-min follow-up call after you’ve had time to read

Best for: You want someone to tell you exactly what to change

Buy $99 →

AICost Optimize Enterprise

$10K+/mo AI spend · multi-vendor optimization

$5,000 one-time

⏱ 14-day delivery

  • Everything in Clarity Enterprise, plus:
  • 5+ specific optimization levers with $/yr savings + risk
  • Vendor negotiation prep (pricing-history data + BATNA)
  • ToolsInfo workflow pairing across departments
  • Custom workloads built for YOUR industry vertical
  • 8-page branded PDF report
  • 90-min executive briefing
  • Slack channel for 30 days

Best for: You’re ready to act across vendors + departments

Buy $5,000 →

Try free first

Most of what you need is in our free calculators and guides. Browse the ones we use most for each size — if they answer your question, no need to hire us.

Personal 6 free tools
💰

Cheapest Model - Best Value for Your Workload

🔀

Multi-Model Router - Route Queries to the Cheapest Capable Model

Prompt Cache ROI - Cache or Not? (with Real Hit-Rate Math)

✂️

Token Reduction - Cut 30-50% Without Quality Loss

AI Subscription Picker - ChatGPT vs Claude vs Gemini vs Cursor

⚙️

Developer AI Stack - Cursor + Copilot + Claude + ChatGPT

SMB 6 free tools
🧮

AI Cost Calculator - A First-Principles Guide to LLM Pricing

🔀

Multi-Model Router - Route Queries to the Cheapest Capable Model

Prompt Cache ROI - Cache or Not? (with Real Hit-Rate Math)

🤖

Agentic Workflow Cost - A Guide for Engineering Leaders

🛡️

Vendor Concentration Risk - How Exposed Is Your AI Portfolio?

🎯

AI ROI Quick Check - Will Your AI Investment Pay Back?

Enterprise 6 free tools
🏦

TCO Quick - 5-Question Wizard for AI Total Cost of Ownership

🔀

Multi-Model Router - Route Queries to the Cheapest Capable Model

🖥️

Self-Host vs API - Where the Break-Even Actually Is

🎓

Fine-Tuning Cost - Training + Inference Break-Even

🛡️

Vendor Concentration Risk - How Exposed Is Your AI Portfolio?

📈

AI Pricing History Explorer - Track Provider Price Changes Over Time

Used these and still want help? Book free 15-min discovery →

More than just AI vendor optimization

On Optimize and Forecast tiers, we pair AI cost analysis with ToolsInfo's 115K+ tool catalog (operated by the same team). You don't just save AI cost — you save labor cost too.

Example: "Switch OpenAI → Claude (save $400/mo) and automate invoice reconciliation via Zapier + GoHighLevel (save $1,200/mo in labor). Net: $1,600/mo."

Ready for AICost Optimize?

Pick a size above, or talk to us first — free.

Book a free 15-min discovery →
📖 Data sources & methodology 161 text models · 9 embeddings · 24 vision · 41 audio · 8 vector DBs across 10 vendor pages · last verified 2026-06-05

Methodology

  • All prices are USD per 1 million tokens, current as of 2026-06-05.
  • Vendor-published values have no mark. Inferred/extrapolated values are marked with * and listed below.
  • Batch API discounts are 50% off standard rates across providers that offer Batch mode.
  • Prompt caching discounts vary by provider (typically 80-90% off cached input tokens).
  • Regional data-residency surcharges (Anthropic 1.1x, OpenAI 1.1x, Google regional tiers) are NOT included in base rates.
  • Long-context pricing tiers apply when input exceeds model threshold.
  • Embedding prices are input-only (no output tokens generated).

Primary sources

Last-verified date is the most recent successful daily snapshot (aicost_pricing_snapshots) or, when no snapshot exists yet, the latest successful crawler run (aicost_crawler_runs). 10 of 10 vendors are currently verified. Aggregator services (TokenCost, AI Pricing Guru, etc.) are not listed.

Anthropic
2026-06-05
https://www.anthropic.com/pricing
Daily snapshot since Sep 2023 · 578 days captured
Anthropic Docs
2026-06-05
https://platform.claude.com/docs/en/about-claude/pricing
Daily snapshot since Sep 2023 · 578 days captured
OpenAI
2026-06-05
https://openai.com/api/pricing/
Daily snapshot since Sep 2023 · 579 days captured
Google AI
2026-06-05
https://ai.google.dev/gemini-api/docs/pricing
Daily snapshot since Dec 2023 · 554 days captured
Google Vertex
2026-06-05
https://cloud.google.com/vertex-ai/generative-ai/pricing
Daily snapshot since Dec 2023 · 554 days captured
DeepSeek
2026-06-05
https://api-docs.deepseek.com/quick_start/pricing
Daily snapshot since May 2024 · 493 days captured
xAI
2026-06-05
https://x.ai/api
Daily snapshot since Nov 2024 · 411 days captured
Mistral
2026-06-05
https://mistral.ai/pricing
Daily snapshot since Dec 2023 · 552 days captured
Cohere
2026-06-05
https://cohere.com/pricing
Daily snapshot since Sep 2023 · 578 days captured

Inferred values (marked with * in calculator tables)

Derived from industry conventions, not directly published by the vendor. Typical conventions: cached input = 10% of base (90% off), Batch API = 50% of base (50% off).

Vendor / Model Field Why it’s inferred
Anthropic — Claude Sonnet 4.6 cachedInput Derived at 10% of input rate — Anthropic publishes 90% cache-hit discount on this tier.
Anthropic — Claude Sonnet 4.5 cachedInput Derived at 10% of input rate; same 90% cache-hit convention as Sonnet 4.6.
Anthropic — Claude Sonnet 4.5 batchInput Derived at 50% of standard input — Anthropic documents uniform 50% Batch discount.
Anthropic — Claude Sonnet 4.5 batchOutput Derived at 50% of standard output — Anthropic documents uniform 50% Batch discount.
Anthropic — Claude Haiku 4.5 cachedInput Derived at 10% of input rate — Anthropic 90% cache-hit discount convention.
OpenAI — GPT-5.4 Mini cachedInput Derived at 10% of input — OpenAI documents automatic 90% discount on cache hits across GPT-5.x tier.
OpenAI — GPT-5.4 Nano cachedInput Derived at 10% of input — OpenAI 90% cache-hit convention.
OpenAI — GPT-5.4 Nano batchInput Derived at 50% of input — OpenAI Batch API uniform 50% discount.
OpenAI — GPT-5.4 Nano batchOutput Derived at 50% of output — OpenAI Batch API uniform 50% discount.
OpenAI — GPT-5.4 Pro cachedInput Derived at 10% of input — OpenAI 90% cache-hit convention.
OpenAI — GPT-5.4 Pro batchInput Derived at 50% of input — OpenAI Batch API uniform 50% discount.
OpenAI — GPT-5.4 Pro batchOutput Derived at 50% of output — OpenAI Batch API uniform 50% discount.
OpenAI — GPT-5.2 cachedInput Derived at 10% of input; no residency uplift.
OpenAI — GPT-5.2 batchInput Derived at 50% of input.
OpenAI — GPT-5.2 batchOutput Derived at 50% of output.
OpenAI — GPT-5 cachedInput Derived at 10% of input.
OpenAI — GPT-5 batchInput Derived at 50% of input.
OpenAI — GPT-5 batchOutput Derived at 50% of output.
OpenAI — GPT-5.5 Pro cachedInput Derived at 10% of input — OpenAI does not publish a cached rate for *-pro models; using the family convention.
OpenAI — GPT-5.5 Pro batchInput Derived at 50% of input.
OpenAI — GPT-5.5 Pro batchOutput Derived at 50% of output.
OpenAI — GPT-5.2 Pro cachedInput Derived at 10% of input — pro-tier convention.
OpenAI — GPT-5.2 Pro batchInput Derived at 50% of input.
OpenAI — GPT-5.2 Pro batchOutput Derived at 50% of output.
OpenAI — GPT-5.1 batchInput Derived at 50% of input.
OpenAI — GPT-5.1 batchOutput Derived at 50% of output.
OpenAI — GPT-5 Pro batchInput Derived at 50% of input.
OpenAI — GPT-5 Pro batchOutput Derived at 50% of output.
OpenAI — GPT-5 Nano cachedInput Derived at 10% of input.
OpenAI — GPT-5 Nano batchInput Derived at 50% of input.
OpenAI — GPT-5 Nano batchOutput Derived at 50% of output.
Google — Gemini 3 Flash cachedInput Derived at 10% of input — Google caching discount convention ~90%.
Google — Gemini 3.1 Flash-Lite cachedInput Derived at 10% of input — Google caching convention.
Google — Gemini 3.1 Flash-Lite batchInput Derived at 50% of input — Google Batch API uniform 50% discount.
Google — Gemini 3.1 Flash-Lite batchOutput Derived at 50% of output — Google Batch API uniform 50% discount.
Google — Gemini 2.5 Pro cachedInput Derived at 10% of input.
Google — Gemini 2.5 Flash cachedInput Derived at 10% of input.
Google — Gemini 2.5 Flash-Lite cachedInput Derived at 10% of input — Google caching convention.
Google — Gemini 2.5 Flash-Lite batchInput Derived at 50% of input — Google Batch API uniform 50% discount.
Google — Gemini 2.5 Flash-Lite batchOutput Derived at 50% of output — Google Batch API uniform 50% discount.
Google — Gemini 2.0 Flash cachedInput Derived at 25% of input per Google 2.0 family caching rates.
Google — Gemini 2.0 Flash batchInput Derived at 50% of input — Google Batch API uniform 50% discount.
Google — Gemini 2.0 Flash batchOutput Derived at 50% of output — Google Batch API uniform 50% discount.
Google — Gemini 2.0 Flash-Lite cachedInput Derived at 10% of input — Google caching convention.
Google — Gemini 2.0 Flash-Lite batchInput Derived at 50% of input — Google Batch API uniform 50% discount.
Google — Gemini 2.0 Flash-Lite batchOutput Derived at 50% of output — Google Batch API uniform 50% discount.
xAI — Grok 4 (legacy) cachedInput Extrapolated at 25% of base.

Pricing is cross-verified against the LiteLLM community registry when available. Daily snapshots are kept in aicost_pricing_snapshots; every change is logged to aicost_price_changelog with old & new values for full audit trail. Read the full methodology →