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 $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…

•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 every major agent — OpenClaw, Hermes, OpenCode, Cursor, Cline, Aider and more — 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 Fable 5 · GPT-5.6 Sol