Mid-tier Mainstream models Mainland direct connect ★ 3.8 / 5

MoleAPI Review: Pricing & Comparison

Single API unifying GPT-4o/Claude/Gemini, <50ms direct-connect latency, OpenAI-format compatible, free credit for new signups

Last verified: 2026-08-11 · Visit official site →

How much code do you need to change to connect an existing project to MoleAPI

# Before (calling the official API directly)
from openai import OpenAI
client = OpenAI(api_key="sk-...")

# After (via MoleAPI)
client = OpenAI(
    api_key="your MoleAPI Key",
    base_url="https://api.moleapi.com/v1"  # check official docs for the current endpoint
)

# Everything else stays the same

That’s it. MoleAPI (moleapi.com) is built on OpenAI-format compatibility, so switching cost is close to zero.

This is exactly the core value of this kind of relay — it’s not about switching to a different codebase, it’s about routing Claude/GPT/Gemini through a low-latency domestic node without changing your code.

Price positioning

MoleAPI is pay-as-you-go, positioned “close to official pricing” — the official description is “pricing similar to calling the model provider directly.” That means MoleAPI isn’t the cheapest option; its core selling point is low-latency mainland direct connect, not a price discount.

New users get free trial credit on signup, no card binding required, ready to use immediately. Exact amount shown in the official console.

One thing worth noting: MoleAPI doesn’t explicitly state that all channels are official API. Developers with strict requirements on model version and output quality should validate actual output against known test cases before committing to long-term reliance.

Model coverage

Focused on mainstream closed-source models:

ProviderModelsCapabilities
OpenAIGPT-4o, o-seriesChat, reasoning, code generation
AnthropicClaude Opus 4.8, Sonnet 4.6Chat, code, long context
GoogleGemini 3.5 Flash/ProMultimodal, chat
GeneralEmbedding endpointVectorization, semantic search

No “100+ models aggregated” marketing here — the positioning is “stable access to core commercial models,” not “the most models.”

Claude Code configuration

# Configure in ~/.claude/settings.json or via environment variables
export ANTHROPIC_BASE_URL="https://api.moleapi.com"  # check official docs for the current endpoint
export ANTHROPIC_API_KEY="your Key"

# Restart Claude Code to apply

Configuring tools like Cursor is similar — just swap the API base path. The official docs have tool-specific setup guides.

Latency and stability

Official site states <50ms relay latency, mainland direct connect, no proxy needed. Actual latency depends on your local network and node distance — worth testing on first use.

No enterprise-grade usage auditing; the console offers basic key management and usage viewing, suited to individual developers rather than teams needing centralized management.

Decision logic

Reasons to choose MoleAPI: you don’t want to fuss over price comparisons, want to get started quickly, and accept “pricing close to official” in exchange for low latency and simple integration.

Reasons to choose something else: if price is your top priority, TokenRiver (¥1=$1, official exchange-rate billing) or Boluotu AI bltcy (Azure channel, ¥1-2.5/USD) is more economical; if you need 200+ model coverage, go with 302.AI or OpenRouter (350+ models, global coverage); if you need enterprise auditing features, go with PoloAPI’s multi-project usage management; if you need PayPal dual-currency settlement or dual China-US region nodes, GPTAPI.US offers a dual China-US region, dual-currency setup.

Information verified 2026-08-11. Pricing and free credit reflect live data on the moleapi.com official site.

  • Cohere API: embedding + reranking + text generation in one, a top pick for RAG engineers
  • No.1-API: one-stop model aggregation relay, well-documented API, unified access to Claude/GPT/Gemini/DeepSeek
  • PoloAPI: balances stability and multi-model coverage, focused on\
  • Glama AI Gateway: an AI gateway with transparent price comparison, fast multi-vendor switching for experiments

Quick facts

Pricing modelPay-as-you-go, priced close to official rates; new users get free trial credit on signup, no card required — exact amount shown in the official console
Model coverageGPT-4o, Claude 3.5 Sonnet, Gemini Pro, and other mainstream closed-source models; covers chat, reasoning, code generation, and embeddings
Latency / SLAOfficial site states relay latency under 50ms; compatible with Cursor, Claude Code, Cherry Studio, and other mainstream dev tools
Mainland direct connectMainland direct connect
Best forDevelopers
Referral programNo public affiliate/referral program found.

Pros

  • Single API endpoint accesses multiple models — no need to manage separate keys per vendor
  • <50ms low-latency direct connect, no proxy needed from mainland China
  • Fully OpenAI-format compatible — existing code only needs a base_url swap to connect
  • Supports Cursor, Claude Code, and other mainstream AI coding tools, with documented configuration
  • New users get free trial credit on signup, low cost to try

Cons

  • Model coverage focuses on mainstream closed-source models, not as broad as OpenRouter or 302.AI
  • Pricing is close to official rates with no significant discount edge — may not satisfy value-focused users
  • No public information on the domestic operating entity; long-term stability remains to be seen
  • Lacks enterprise governance features (usage auditing, etc.), not suited to large-team centralized management

Compare more AI API relays

See the full comparison board — filter by price tier, model coverage, and mainland direct-connect status.

Back to the comparison board →