Looking for an alternative to Awan LLM?

A flat-rate 'unlimited tokens' inference API running open Llama-family models on its own GPUs — no token metering at all, with per-day request caps instead.

Pricing: Free (Lite), $5 (Core), $10 (Plus), $20 (Pro), $80/mo (Max — unlimited requests). All tiers: unlimited tokens per request; daily request caps and RPM limits below Max.

TL;DR

Pick Awan LLM if you want the cheapest truly-unmetered tokens on open Llama models — for bulk text or hobby projects, $5–20/month is unbeatable. Pick Standard Compute if you're running a real coding agent: it needs tool calling, frontier models and long context.

Where Awan LLM shines

•The cheapest truly-unmetered tokens anywhere — $5/mo entry, free tier exists
•Owns its GPUs, a credible basis for flat-rate economics
•Stated no-logging policy and uncensored model variants — a real draw for the users who want that
•Simple OpenAI-compatible endpoints with streaming

Why people look for an alternative

•Open Llama-family models only — no Claude, GPT, Gemini, DeepSeek or Qwen; nothing frontier-class for serious coding work
•Tool/function calling is not documented — most modern coding agents depend on it
•Hard daily request caps below the $80 tier (e.g. 10 large-model requests/day on Core)
•Several models capped at 8K context; the model catalog appears infrequently updated

Standard Compute vs Awan LLM

Standard Compute is an OpenAI-compatible API with frontier-model compute at a flat monthly price (from $19/mo): no per-token billing and no 5-hour or weekly windows. Requests run at full speed until the monthly compute budget is used, then stop until renewal or an upgrade. There are no overage charges.

Pick Standard Compute when…

•Coding agents, full stop: they need tool calling, frontier-quality models and long context
•Anyone whose work quality-caps out on open 8B–70B models
•Workloads where per-day request caps are as limiting as token meters

Stick with Awan LLM when…

•Bulk text processing or roleplay on open models, where $5–20/month of unmetered tokens is unbeatable
•Hobby projects with no tool-calling needs
•Users who specifically want uncensored variants and a no-logging stance

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 OpenClaw, Hermes, OpenCode, Cursor, Cline, Aider and more are on the integrations page. Free tier to test it, no card required.

FAQ

Both say flat-rate — what's actually different?

Awan is flat-rate on open Llama models with daily request caps; Standard Compute is flat-rate across the full frontier (GPT-5.6, Claude, Gemini, DeepSeek, Qwen) with smart routing and no request-count caps. They solve different problems: cheapest possible tokens versus agent-grade capability at a fixed price.

Can I run OpenCode or Cline on Awan LLM?

Technically the endpoint is OpenAI-compatible, but tool/function calling isn't documented in Awan's API — and coding agents lean on it constantly. Test before committing; for tool-heavy agents a provider with documented tool support is the safer base.

The flat-rate alternative to Awan LLM

Standard Compute

Current frontier models Claude Opus 5.5 · Claude Sonnet 5.5