Mingo vs OpenAI API

Use the same OpenAI SDK and the same wire format — point it at Mingo, ship faster. No card to start, no monthly minimum.

Feature OpenAI Mingo What it means
Authentication OpenAI API key API key (Bearer) Same SDK, change base_url
Models GPT-4o, GPT-4.1, o4-mini Kimi-K2.6, Qwen3-235B Open-weight, comparable for coding/tool-use
Input pricing (1M tok) $2.50 – $5.00 $0.30 ~8–16× cheaper
Output pricing (1M tok) $10.00 – $20.00 $0.30 ~30–60× cheaper
Payment Credit card (KYC) Card (Stripe) or USDT / USDC Crypto without KYC for the free tier
Function calling Native Native (Kimi) + Hermes-emulated (Qwen) OpenAI-format output either way
Streaming SSE SSE Identical wire format
Vision / TTS / Embeddings Yes Coming soon
Tracing x-request-id X-Request-Id + X-Devshard-ID Two ids for upstream debugging
Region restrictions Some countries blocked Open, decentralized Works where Stripe doesn't

Migrate in 60 seconds

# before
client = OpenAI(api_key=OPENAI_API_KEY)
client.chat.completions.create(model="gpt-4o", ...)

# after
client = OpenAI(
    base_url="https://mingo.mingles.ai/v1",
    api_key=MINGO_API_KEY,
)
client.chat.completions.create(model="moonshotai/Kimi-K2.6", ...)

FAQ

Will my OpenAI Python / Node code still work?

Yes — point the official openai SDK at https://mingo.mingles.ai/v1 and pass your Mingo API key. Tools, streaming and tool_choice all behave identically.

Why is Mingo so much cheaper?

We curate three frontier open-weight models and price them ~30 % below the public-API median. No middle-man fee, no rented GPT margin.

Is the quality comparable for coding agents?

Kimi-K2.6 and Qwen3-235B match or exceed GPT-4-class models on most public coding benchmarks (HumanEval, SWE-bench Verified subset). Run your own evals on /agents.