Looking for an alternative to Synthetic?

A flat-rate subscription for eight open-weight models — Kimi-K3, GLM-5.2, GLM-5.3-Flash, GLM-4.7-Flash, Nemotron-3-Super-120B, gpt-oss-120b, Qwen3.8 and an embedding model — metered by requests instead of tokens.

Pricing: $1/day or $30/month; pay-as-you-go and enterprise options exist. 500 requests per 5 hours, 1 concurrent request per model (extra concurrency packs sold separately). No token metering at all.

TL;DR

Synthetic is one of the most honest offers in the budget field: $30 flat, a request cap you can actually reason about, and a real privacy stance. Its constraints are structural — open-weight only, one concurrent request per model, 500 requests per 5 hours — which suits a single sequential agent and punishes parallel or high-frequency loops. Standard Compute is the alternative for exactly those: frontier-plus-open models, no request windows, no concurrency wall.

Where Synthetic shines

•Request metering is the most legible quota in the field — 500 per 5 hours, no token math
•Privacy is the core pitch: no-training, no-storage
•Current open-weight lineup with big contexts (Kimi-K3 and GLM-5.2 at 512K)
•The $1 day pass is a genuinely low-commitment way to try it

Why people look for an alternative

•1 concurrent request per model — parallel agents and multi-stream tools queue behind it
•Open-weight only: no Claude, GPT, or Gemini quality tier
•Two lineup models (Kimi-K3, GLM-5.3-Flash) are flagged Beta
•OpenAI-compatible only — no Anthropic-format endpoint documented, so no Claude Code

Standard Compute vs Synthetic

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…

•Parallel agent workloads that would serialize behind a 1-concurrency cap
•Work that needs frontier-model quality, not open-weight
•Heavy sessions where 500 requests per 5 hours becomes the wall — agent loops eat requests fast

Stick with Synthetic when…

•Privacy is a hard requirement — no-training/no-storage is their core promise
•One agent at a time on open-weight models fits your workflow, and $30 is the budget
•You want the simplest possible quota to reason about — requests, not tokens or credits

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

Is Synthetic unlimited?

Tokens are unmetered, but requests aren't: 500 per 5 hours with 1 concurrent request per model. For chat-style use that's generous; for agent loops firing tool calls every few seconds, the request budget and the concurrency cap both bind. Standard Compute meters neither.

Synthetic or Standard Compute for a coding agent?

If open-weight quality covers you, privacy matters, and you run one agent sequentially inside OpenAI-compatible tools like Roo, Cline, or Octofriend, Synthetic's $30 is excellent value. If your agent runs parallel streams, needs frontier quality, or burns more than 500 requests in 5 hours, that's the regime flat-rate without windows exists for.

The flat-rate alternative to Synthetic

Standard Compute

Current frontier models Claude Fable 5 · GPT-5.6 Sol