Why is my AI agent so expensive to run?

The usual cause is that your agent calls a premium model (Claude Opus 4.7 at $15/$75 per 1M tokens, GPT-5.5 at $5/$30) for every request — including trivial ones like simple Q&A, code formatting, or translation. For those tasks, Gemini Flash ($0.30/M output), DeepSeek V4 Flash ($0.14/$0.28), or Claude Haiku ($5/M) would deliver the same quality at 15-250x lower cost. In a typical agent workload, about 80% of calls don't need the premium model. ClawRouters analyzes each call in 10ms and routes it to the cheapest capable model — typical users save 70-90% on their monthly bill.

How do I reduce OpenClaw AI API costs?

OpenClaw is OpenAI-compatible, so you can change its base_url to a smart routing proxy like ClawRouters. The proxy analyzes each call (coding vs formatting vs reasoning) and sends it to the cheapest model that can handle it. No code changes — just one config line in your openclaw.json. Typical OpenClaw users cut their token bill 70-90% without any loss in output quality. Pricing starts at $29/mo (Starter plan, 10M tokens included) or $99/mo (Pro, 20M tokens/month with up to 500K that can run on Opus).

ClawRouters vs OpenRouter — which is better for cost savings?

OpenRouter and LiteLLM give you multi-model access under one API key — but you still manually pick which model to call. That's why most developers default to the premium model and bleed money. ClawRouters is different: we automatically pick the cheapest capable model per task, in 10ms. OpenRouter solved access; ClawRouters solves cost. ClawRouters also adds features OpenRouter doesn't: per-end-user token tracking (for SaaS agent builders sharing keys with customers), auto top-up, BYOK fallback opt-in, and OpenClaw-native integration.

What's the cheapest model for coding agents in 2026?

For code formatting and simple edits: Claude Haiku 4.5 ($1/$5 per 1M) or DeepSeek V4 Flash ($0.14/$0.28). For medium-complexity coding: Claude Sonnet 4.6 ($3/$15), GPT-5.4 ($2.5/$15), Kimi K2.6 ($0.60/$4), or DeepSeek V4 Pro ($1.74/$3.48). Only escalate to Claude Opus 4.7 ($15/$75) or GPT-5.5 ($5/$30) for genuinely complex reasoning or architectural design. A smart router like ClawRouters makes this decision per-call automatically based on the task — you don't need to configure it by hand.

How does task-aware routing save money vs. just using one model?

Most AI agent workloads break down roughly as: 60% simple Q&A/translation/formatting, 25% medium coding/analysis, 15% complex reasoning. If you send all of them to Claude Opus ($75/M output), you pay full price for every call. If you task-route instead: 60% → Gemini Flash at $0.30/M (250x cheaper), 25% → Claude Haiku at $5/M (15x cheaper), 15% → Opus (no change). Blended savings ≈ 80-90% vs. Opus-everything, with no quality degradation. This is the math behind the 70-90% typical savings.

Is ClawRouters safe with my data?

Yes. ClawRouters is a routing proxy — we classify the task type (in 10ms, on our servers) to pick a model, then forward your request directly to the model provider (OpenAI, Anthropic, Google) over encrypted connections. We don't train on your data. We log minimal metadata (token counts, model used, timing) for usage dashboards, not prompt content beyond a 500-char snippet for classifier improvement which you can opt out of. BYOK keys are encrypted at rest with AES-256-GCM.

How do I track per-customer API costs when I share my ClawRouters key across my SaaS users?

Pass a stable per-customer ID in the OpenAI SDK's 'user' parameter with every request. ClawRouters writes this to each usage log and surfaces aggregated per-end-user breakdowns in your dashboard — requests, cost, tokens, models used, first/last seen. This is built-in and included with every plan. It's essential for SaaS agent builders (e.g. an OpenClaw-based product) who share keys across customers and need to attribute cost back to each one.

GPT-4o-mini API Pricing 2026: Rates Per Million Tokens (Quick Reference)

TL;DR — GPT-4o-mini costs $0.15 per million input tokens and $0.60 per million output tokens — OpenAI's budget workhorse tier. A typical chat request (1K in / 500 out) costs about $0.00045, meaning ~2,200 requests per dollar. It sits between the ultra-cheap open-weight tier (DeepSeek V4 Flash $0.14/$0.28) and mid-tier closed models, and remains one of the most-routed models for summarization, extraction, and light drafting.

Official pricing (as of August 2026)

| | Input /1M | Output /1M | |---|-----------|------------| | GPT-4o-mini | $0.15 | $0.60 | | Cached input | discounted (see OpenAI cache pricing) | — |

OpenAI discounts cached input tokens for repeated prompt prefixes; batch processing offers reduced rates for non-urgent workloads. Both matter at volume.

What this costs in practice

Personal agent (50 requests/day, ~1K in / 500 out each): roughly $0.70/month
Support bot (5K requests/day): roughly $67/month
Bulk summarization (10M tokens in / 2M out): $2.70 per run

The pattern: 4o-mini is effectively free at personal scale and stays reasonable at product scale — its costs only become interesting at heavy pipeline volume, which is exactly when the open-weight tier below it starts to matter.

How it compares

| Model | Input /1M | Output /1M | Note | |-------|-----------|------------|------| | GPT-4o-mini | $0.15 | $0.60 | This page | | DeepSeek V4 Flash | $0.14 | $0.28 | Open-weight, ~half the output price | | Gemini 3 Flash | $0.075 | $0.30 | Cheapest input in class | | Claude Haiku 4.5 | $1.00 | $5.00 | Stronger, 7-8× the price (details) |

Where it fits in a routing strategy

In a routed setup, 4o-mini competes directly with Flash-class open models for the bulk tier — the offloading math usually favors whichever is cheapest per output token for your mix. ClawRouters includes it in the pool and routes to it when task difficulty and price line up.

Prices from the provider's official rate card as of August 2026 — verify at the source before committing to volume, as rates change with model launches. Full market context: 2026 AI pricing guide · routing basics.

GPT-4o-mini API Pricing 2026: Rates Per Million Tokens (Quick Reference)

Official pricing (as of August 2026)

What this costs in practice

How it compares

Where it fits in a routing strategy

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