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.

Compare 50+ AI Models — Find the Best Model for Your Task

Side-by-side comparison of AI model pricing, quality ratings, and best use cases. Claude Opus vs GPT-4o, DeepSeek vs Claude, Gemini Flash vs GPT-4o-mini — all in one place. Updated for 2026.

Provider:Task:Sort:

Model	Provider	Input $/1M	Output $/1M	Coding	Reasoning	Translation	Simple Q&A	Creative Writing	Math	Summarization	Chinese	Instruction Following	Best For	Value

Best AI Models for Coding 2026

Looking for the cheapest AI model for coding? Or the best code generation model regardless of price? Here are the top models ranked by coding capability vs price — from Claude Opus to DeepSeek V3.

Best Coding Models (by Quality)

Best Value for Coding

Best AI Models for Translation

Whether you need English-Chinese, English-Spanish, or multi-language translation, these AI models deliver the best results. Compare Anthropic Claude pricing vs GPT-4o for translation tasks.

Top Translation Models

Cheapest AI Models for Simple Tasks

For simple Q&A, basic lookup, and straightforward tasks, you don't need Claude Opus or GPT-4o. These models handle simple tasks well at a fraction of the cost. GPT-4o-mini vs Gemini Flash — which is cheaper?

Cheapest Models (Q&A capable)

Best AI Models for Chinese Language 2026

Need the best AI for Chinese? Qwen, DeepSeek, Kimi, GLM, and MiniMax are purpose-built for Chinese language tasks. Compare Chinese AI model pricing and quality.

Best Chinese Language Models

Best AI Models for Math & Reasoning 2026

Complex reasoning, mathematical proofs, and deep analysis require the most capable models. DeepSeek R1, Claude Opus — see how they compare. Is DeepSeek Reasoner worth it vs Claude Opus?

Top Math Models

Top Reasoning Models

AI API Cost Calculator — Estimate Your Monthly Spend

Enter your estimated monthly token usage to see how much each model would cost. OpenAI API cost calculator, Anthropic pricing calculator — all in one.

Monthly usage:million tokens (50/50 input/output split)