--- title: Pricing & Cost Reference | The Agentic AI Hub — daily.dev description: Pricing is a Frontier Model Comparison snapshot. This section is the durable part: how to reason about cost so you're not surprised by a bill. canonical: https://daily.dev/agentic-ai-hub/pricing-cost-reference/ og:type: article og:url: https://daily.dev/agentic-ai-hub/pricing-cost-reference/ og:title: Pricing & Cost Reference | The Agentic AI Hub — daily.dev og:description: Pricing is a Frontier Model Comparison snapshot. This section is the durable part: how to reason about cost so you're not surprised by a bill. og:image: https://daily.dev/assets/og/agentic-ai-hub.png?v=40e6ff69 og:site_name: daily.dev og:locale: en_US article:modified_time: 2026-07-22 twitter:card: summary_large_image twitter:site: @dailydotdev twitter:creator: @dailydotdev twitter:title: Pricing & Cost Reference | The Agentic AI Hub — daily.dev twitter:description: Pricing is a Frontier Model Comparison snapshot. This section is the durable part: how to reason about cost so you're not surprised by a bill. twitter:image: https://daily.dev/assets/og/agentic-ai-hub.png?v=40e6ff69 --- [Skip to main content ](#main-content) [   ](https://daily.dev/) [ Agentic AI Hub ](/agentic-ai-hub/) [   ](https://daily.dev/) / [ Agentic AI Hub ](/agentic-ai-hub/) [Get the app ](https://api.daily.dev/get?ref=docs-topbar) # Pricing & Cost Reference Too busy to read? Get an AI summary * Copy page Copy page Copy page as Markdown for LLMs [ View as Markdown View this page as plain text ](https://daily.dev/agentic-ai-hub/pricing-cost-reference.md/) > Pricing is a [Frontier Model Comparison](/agentic-ai-hub/frontier-model-comparison/) snapshot. This section is the _durable_ part: how to reason about cost so you're not surprised by a bill. **As of July 2026.** **How LLM pricing works.** You pay per token, and **input and output are priced separately** (output is typically 3 to 8× input, because it's generated sequentially). "Tokens" ≈ ¾ of a word in English. A back-of-envelope estimate: `cost ≈ (input_tokens × in_price + output_tokens × out_price) / 1,000,000`, multiplied by your request volume. **The four levers that cut cost the most:** 1. **Prompt caching.** Reuse of a repeated prefix (system prompt, big context) at a large discount (often \~90% off input, sometimes \~99% for cache hits, e.g. DeepSeek). The single biggest win for agents and RAG that resend the same context. Structure prompts so the stable part comes first. 2. **Batch APIs.** Non-urgent jobs (evals, bulk generation) at \~50% off, with a delayed SLA. Most providers offer it. 3. **Right-sizing the model.** Use a mini/flash/haiku tier for routing, extraction, and classification. Reserve the flagship for genuinely hard steps. A [router](/agentic-ai-hub/apis-inference-platforms-gateways/) automates this. 4. **Reasoning budget.** Hybrid models bill their hidden "thinking" tokens as output. Cap the reasoning effort where you don't need it. It's often the largest line item on agentic workloads. **Watch-outs.** Long-context tiers often cost \~2× above a threshold (e.g. >200K tokens). Newer models may use a **different tokenizer**. Anthropic's newest generation reportedly emits \~30% more tokens for the same text, so compare _cost per task_, not just the headline per-token price. Vision/audio inputs are often billed as a large fixed token count per image/second. **Ballpark tiers (per 1M output tokens, July 2026):** budget/open ≈ $0.30 to $3 (DeepSeek, Flash/Haiku/mini, self-host), mid ≈ $5 to $15 (Sonnet, Gemini Pro, GPT balanced), premium ≈ $25 to $90 (Opus, GPT Pro tiers). For live cost-per-task comparisons across providers, use [Artificial Analysis](https://artificialanalysis.ai/) and [OpenRouter](https://openrouter.ai/models). Share this page Copy link [ Previous Benchmarks & Leaderboards ](/agentic-ai-hub/benchmarks-leaderboards/) [ Next How to Choose a Model ](/agentic-ai-hub/how-to-choose-a-model/) [ Previous ](#) [ Next ](#) Link copied!