AI & Voice

LLM (Large Language Model)

AI model trained on vast text data — generates human-like text, answers questions, follows instructions.

LLMs include OpenAI's GPT-4/4o/4-mini, Anthropic's Claude (Sonnet, Opus, Haiku), Google's Gemini Pro/Flash, Meta's Llama, Mistral, and many others. As of 2026, frontier models (Claude Opus 4.7, GPT-5, Gemini Ultra) approach human expert-level on many tasks.

Key dimensions: context window (how much text the model can see at once — typically 8K to 1M tokens), pricing (per 1K input/output tokens), latency (response speed), and capability (reasoning, code, instruction-following).

For Indian SMBs, LLM choice depends on use case + budget: GPT-4o-mini or Gemini Flash for cheap high-volume tasks; Claude Sonnet or GPT-4o for quality-critical; Llama 3 for self-hosted privacy needs.

India context

Indian SaaS founders increasingly use OpenRouter (model aggregator) to mix-and-match LLMs without managing 5+ provider integrations. Free models on OpenRouter handle 80% of bulk content generation needs at zero cost.

Examples

  • A blog generator uses Gemini Flash for cheap drafts, Claude Sonnet for premium edits.
  • A customer support bot uses GPT-4o-mini for quick answers, escalates to Claude Sonnet for complex queries.

FAQ

Which LLM should I use?

Depends on use case. Cheap + fast: GPT-4o-mini, Gemini Flash. Quality: Claude Sonnet, GPT-4o. Self-hosted privacy: Llama 3 / Mistral. Test 2-3 on your specific tasks.

What's a context window?

Max tokens an LLM can read at once. GPT-4o = 128K tokens. Claude Sonnet = 200K. Gemini = 1M. Bigger windows enable more context-rich responses.

How expensive are LLMs?

Varies wildly. GPT-4o-mini ~₹0.15/1M input tokens. Claude Opus ~₹15/1M input tokens. Free tiers exist on OpenRouter for many models.

Related concepts

RAGembeddingfine-tuningcontext windowOpenRouterhallucination

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Related glossary entries

AOV (Average Order Value) — Average rupee value per customer transaction — key revenue lever for ecommerce.RAG (Retrieval-Augmented Generation) — Technique where an LLM is given relevant documents/data at query time, instead of relying solely on its training data.Hallucination (AI) — When an LLM generates plausible-sounding but factually incorrect or fabricated content.

More in AI & Voice

STT (Speech-to-Text)TTS (Text-to-Speech)RAG (Retrieval-Augmented Generation)Hallucination (AI)
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