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-5.2 at $1.75/$14) for every request — including trivial ones like simple Q&A, code formatting, or translation. For those tasks, Gemini Flash ($0.30/M output) 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 + 500K Opus quota).

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 V3.2 ($0.28/$0.42). For medium-complexity coding: Claude Sonnet 4.6 ($3/$15) or Gemini 2.5 Pro ($1.25/$10). Only use Claude Opus 4.7 ($15/$75) or GPT-5.2 ($1.75/$14) 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.

🤔 Honest comparison

ClawRouters vs OpenRouter

Both are multi-model API proxies. Both are OpenAI-compatible. But they solve different problems. Here's the honest breakdown of which to use when — for AI agents already in production.

TL;DR

OpenRouter solves model access — one key, 200+ models. You pick which one to call.

ClawRouters solves cost — we pick the cheapest capable model for every call automatically. Purpose-built for AI agents already deployed (OpenClaw, Cursor, Windsurf).

If you already manually pick models and just want unified access/billing, OpenRouter is great. If you're running an Agent and your token bill is out of control, ClawRouters is designed for your exact problem.

Feature-by-feature

Capability	OpenRouter	ClawRouters
Model selection	You pick manually per request	Auto-picked per task in 10ms
Number of models	200+ (broadest)	50+ (curated for quality + cost)
Unified billing	✓	✓
OpenAI-compatible API	✓	✓
Auto cost optimization	✗ (you choose the model)	✓ (capability + cost ranking per request)
Task-aware classification	✗	✓ (coding, translation, reasoning, Q&A…)
Per-end-user token tracking	✗ (no customer attribution when sharing keys)	✓ (via OpenAI `user` parameter)
OpenClaw native integration	General (manual base_url swap)	Purpose-built, one-line script setup
Auto failover between models	Manual fallback config	✓ Built-in feature-aware fallback chain
Quota + top-up management	Pay-as-you-go only	Subscription + top-ups + auto top-up + BYOK fallback
Image generation routing	Limited (image models, manual selection)	✓ Separate `/v1/images/generations` endpoint with credit-based billing
Pricing model	Pay-per-token pass-through + markup	$29/mo Starter (10M tokens included) / $99/mo Pro (20M + 500K Opus)
Target user	Any developer needing multi-model access	AI agents already in production (OpenClaw, Cursor, SaaS Agent platforms)

When OpenRouter is the right choice

OpenRouter genuinely is excellent for:

You want access to every single model on the market (including niche ones)
You're building something where you know exactly which model you want per call
You don't mind a pay-as-you-go model with small markups per token
You don't need per-end-user analytics or shared-key management

When ClawRouters is the right choice

ClawRouters is designed specifically for:

You've already deployed an AI agent (OpenClaw, Cursor, Windsurf, custom) and want to reduce its running cost without changing the agent's code
You're running a SaaS agent product and need to track token cost per end-user
You want predictable monthly billing (subscription + top-ups) instead of volatile pay-as-you-go
You don't want to manually pick models per request — you want the system to handle it
You want features built around running agents in production: auto failover, auto top-up, BYOK fallback, quota alerts

Real talk: OpenRouter won't reduce your AI bill by itself. It routes what you tell it to route. If your agent is configured to use Claude Opus, OpenRouter just lets you pay for Opus more conveniently — it doesn't switch you to Flash for the simple Q&A calls. ClawRouters does that switch automatically.

The cost math

Say your Agent runs 500K output tokens/month with this typical task mix:

Scenario	Monthly cost	What happened
Direct OpenAI API	~$40	Agent calls Opus for everything (typical default)
OpenRouter	~$40-42	Same cost as direct API + small OpenRouter markup. You still pick Opus.
ClawRouters Starter ($29/mo)	$29	Agent sends model: "auto". We route 60% to Flash, 25% to Haiku, 15% to Opus. 500K fits within included 10M tokens.

ClawRouters is ~27% cheaper at this volume, and the savings widen as you scale. At 10M+ tokens/month, ClawRouters typically delivers 70-90% savings vs. direct Opus.