AiGanakThe right AI for every job, measured, not guessed.
Tell us what you want AI to do. AiGanak picks the best-value model from verified prices, measured token counts in 23 languages and price changes that are already announced. Then we help you test it, watch it and build it.
The best-value model and its monthly cost appear here.
Open the full answer →The same answers in your terminal and your AI assistant.
Prices, cost estimates and the language token tax as open data, a Python package, an MCP server and a GitHub Action. No API keys needed.
$ pip install aiganak-llm-prices $ llm-prices compare --input 2000 --output 500 --requests 100000 gpt-6-luna $45.00 claude-haiku-5-5 $45.00 gemini-3.1-flash-lite $125.00 $ llm-prices cost gemini-4-argon --input 2000 --output 500 --requests 100000 --on 2026-12-01 gemini-4-argon: $1,800.00 for 100,000 requests $ claude mcp add aiganak-llm-cost -- npx -y @aiganak/llm-cost-mcp # then ask: cheapest model for a Tamil support bot?
Language token tax
The same message costs 1.18× to 2.28× as many tokens in Hindi as in English, and up to 6.7× in Punjabi. See what 23 languages cost on GPT, Claude and Gemini, and check your own text.
See your language → Free toolLLM Bill Analyzer
Drop in your usage export. Spend by model, monthly run rate and your savings estimate.
Analyse my bill →AiGanak Check
Which AI model for your job, and what it costs in your language.
FreeSelf-host vs API calculator
The volume where running your own model starts to pay off.
FreeAPI pricing calculator
Price your own traffic on 14 current models, with cached, batch and announced prices.
FreeLLM Price Index
What $100 buys on every model, for three everyday tasks.
FreePrice changes log
Every LLM API price change, dated and sourced.
FreePrice change alerts
One email when OpenAI, Anthropic or Google changes a price.
FreeMCP server
Prices, cost estimates and token tax inside Claude, Cursor and other AI assistants.
FreeGitHub Action
Flags LLM price rises, legacy models and cheaper options on every pull request.
FreeOpen price data
JSON, CSV and a Python package on GitHub. Free to use.
Pricing by model: Claude Opus 5.5 · GPT-6 Astra · Gemini 4 Argon · Claude Sonnet 5.5 · GPT-6.1 Sol · Gemini 3.8 Flash · all models
Start free. Pay only when the numbers say it's worth it.
Every step uses your own numbers, and each one tells you whether the next is worth paying for.
Check it yourself
Token tax checker, Bill Analyzer and price calculators. Results in seconds, no sign-up, nothing leaves your browser.
Free tools → 2 · USD 149LLM Cost Report
Your usage priced on every current model and language, with a ranked savings plan and code. Two working days, refund if savings come to less than the price.
See the report → 3 · From USD 750Audit
Cheaper models tested on your own approved answers, reliability risks ranked, walkthrough with the founder. The report price counts toward it.
See the audit → 4 · CustomBuild
We implement the plan: routing, caching, agents and workflows, private deployment, or a small model tuned for your language.
Services →
You talk to me, not a sales team. I read every bill and review every report before it reaches you.
Akshay Bankar · Founder & Director · Enterprise AI Architect, 16+ years of industry experience with global MNCs and tech marketplaces
Senior architecture on every engagement.
AiGanak is founder-led and based in Pune, India, working with AI companies worldwide. Tell me what your product does and what it costs today; I'll reply within one working day with where I'd look first.
One team from the workflow layer down to the model.
Most AI vendors resell an API. We engineer the system around it and, where it pays, replace it with a smaller model you control.
See what your OpenAI or Anthropic bill is really paying for.
We measure usage from your own logs, test cheaper setups on your own answers and price every change. Free Quick Check, full audit in five to seven working days.
Run the free Quick Check → SystemsMulti-agent workflows
n8n and Make agents wired into your databases, CRM and messaging.
SecurityPrompt hardening
Injection defence, structured outputs and CI tests for every prompt.
InfrastructurePrivate deployment
Open models in your cloud or on-premise. Data stays inside.
R&DCustom small language models
Domain models delivered as proof of concept, MVP, then production, built on the pipeline behind AiGanak-SLM-1B.
Tools you can use today
- Prompt Lab: structural audit for failing system prompts
- Model Lab: benchmark models on your own examples
- Hiboto: no-code chatbot builder
- Registry: early access to sandbox model releases
Measured first. Built second. Run with numbers.
Audit
We stress-test your data architecture and AI usage, find token leaks, injection risks and bottlenecks, and price the fix.
Build
A fixed-scope proof of concept or pilot on real data, with weekly demos and a cost-per-task report.
Harden
Guardrails, evaluation suites and private deployment move the system from experiment to production.
Run
Monitoring, re-evaluation and cost tracking keep quality and spend where they should be.
AiGanak-SLM-1B: a 128k-context model small enough to own.
Our in-house decoder-only model, built first for logistics and supply-chain documents. It is still in training. What we learn from it powers the custom models we build for clients today.
Data we publish for everyone
Measured by us, sourced and dated, free to use and cite.
Language token tax
Tokens for the same messages in 23 languages on 12 models, re-measured monthly.
See the index → GitHubLLM price data ↗
Every current OpenAI, Anthropic and Google price as JSON, CSV and a Python package. CC BY 4.0.
Open on GitHub → LogLLM price changes
Every price change and pricing announcement, dated and linked to the provider's page.
See the log →Cheapest LLM API for high-volume classification and extraction
Prices checked 9 November 2026. GPT-6 Luna and Claude Haiku 5.5 cost $0.10 input and $0.50 output per million tokens, Gemini 3.5 Flash-Lite $0.30 and $2.50, Gemini 3.8…
Read →Cost engineering · 8 min readLLM cost per user: how to price an AI feature in your SaaS
Prices checked 2 November 2026. Worked example: an in-app assistant with 3,000 input tokens (1,500 fixed and cacheable) and 400 output tokens per request costs $0.050…
Read →Small language models · 12 min readHow to build a small language model from scratch: a 2026 guide
Checked 3 November 2026. Most companies should fine-tune a current open small model (Qwen3.5 0.8B to 9B under Apache 2.0, Gemma 4 E2B and E4B) before training from…
Read →Questions people ask
Can't find it? Press ⌘K and ask.
What does AiGanak do?
AiGanak cuts LLM API costs for AI products, especially products whose users write in Hindi, Tamil and other non-English languages, which can take several times the tokens of English. It starts with free tools and measured data, then a USD 149 LLM Cost Report and audits from USD 750, and builds the fix when the numbers justify it: model routing, caching, agents and workflows, private deployments and small language models.
Where is AiGanak based and who does it work with?
AiGanak is based in Pimple Saudagar, Pune, India, and works with companies worldwide, mostly remotely.
Is AiGanak-SLM-1B available?
Not yet. AiGanak-SLM-1B is in Phase 2 convergence. Companies can join the Registry for early access, or commission a custom model proof of concept built on the same research.
How do I start?
Run the free Quick Check on the LLM Cost Audit page, or describe your project to AiGanak Agent on the contact page for a draft proposal that an engineer reviews with you.
Tell us what you're building.
AiGanak Agent drafts a scoped proposal in a few minutes. An engineer reviews it with you.