Looking for an alternative to CheapestInference?

A flat-rate LLM subscription built on reserved time windows: you book one or more 8-hour daily blocks and get unlimited tokens on the block's open-weight model pool during those hours, from $17.99/month.

Pricing: Per 8-hour daily window: Core $17.99/mo (DeepSeek V4 Flash, MiMo v2.5), Frontier $71/mo (GLM 5.3, MiniMax M3), Flagship $349/mo (Kimi K3, Qwen3.8 Max); annual billing ~15% less; 24/7 coverage means stacking three blocks (~$228/mo on Frontier). Fair use: one request at a time per key. (Verified 2026-09-08.)

TL;DR

CheapestInference sells the lowest sticker price in flat-rate inference by constraining everything else: hours (one 8-hour block), concurrency (one request at a time), and models (two open-weight models per tier). If your workload fits inside all three constraints it is genuinely cheap. Standard Compute is the whole-day, whole-catalog version of the same idea — frontier models included, parallel requests on Economy and up, and no reserved-hours planning — at a higher but still fixed price. Pick by whether your agent works on a schedule or whenever you do.

Where CheapestInference shines

•Genuinely unlimited tokens inside your reserved window at a very low entry price
•Price-lock promise: the price you subscribe at is the most you'll ever pay
•In-memory processing with no payload storage, stated plainly
•OpenAI and Anthropic SDK compatibility, plus an x402 endpoint for autonomous agents

Why people look for an alternative

•Your subscription only works during the reserved 8-hour block — outside it, nothing; 24/7 costs 3x
•One request at a time per key rules out parallel agents without stacking subscriptions
•Open-weight pools only, and narrow ones (2 models per tier) — no Claude, GPT, or Gemini-class output
•Model-pool tiers mean upgrading models means changing plans

Standard Compute vs CheapestInference

Standard Compute is an OpenAI-compatible API with frontier-model compute at a flat monthly price (from $39/mo) — no per-token billing, no rate-limit windows. Under extreme sustained load requests are paced smoothly instead of erroring or charging more.

Pick Standard Compute when…

•Your agent runs whenever work happens, not on a schedule — no reserved-hours planning
•You want frontier proprietary models (Claude/GPT-class) in the mix, not just open-weight pools
•Parallel agents or tool-heavy sessions that need more than one concurrent request
•One plan covering all hours instead of stacking three blocks for 24/7

Stick with CheapestInference when…

•Your usage genuinely fits one predictable 8-hour window and an open-weight model covers the work — the entry price is hard to beat
•Single-threaded, high-volume batch workloads inside a scheduled block
•You specifically want the price-lock guarantee against future increases

Switching takes one config change

Standard Compute is OpenAI-compatible, so any tool or SDK that lets you set a custom base URL migrates in minutes:

Base URL  = https://api.stdcmpt.com/v1
API key   = your Standard Compute key
Model     = standardcompute

Setup guides for every major agent — OpenClaw, Hermes, OpenCode, Cursor, Cline, Aider and more — on the integrations page. Free tier to test it, no card required.

FAQ

CheapestInference or Standard Compute for a coding agent?

Coding agents are interactive and bursty — they run when you're working, which is rarely a fixed 8-hour block, and tool-heavy sessions benefit from concurrency. That workload shape fits an all-hours plan better. CheapestInference fits scheduled, single-threaded batch work (overnight processing, cron-style jobs) where the reserved window is a feature, not a constraint.

Is 'unlimited tokens' real on both?

Both genuinely drop per-token billing. CheapestInference bounds usage with the time window and one-request-at-a-time fair use; Standard Compute bounds it with a monthly compute budget per plan. Neither is infinite — read which constraint matches your usage pattern.

What does 24/7 coverage actually cost on CheapestInference?

Three stacked 8-hour blocks — about $228/month on the Frontier tier (GLM 5.3, MiniMax M3), still open-weight only and one request at a time per key. At that price point, compare against all-hours plans with frontier models and concurrency before committing.

The flat-rate alternative to CheapestInference

Standard Compute

Current frontier models Claude Fable 5 · GPT-5.6 Sol