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MangoBoost

Model APIs

ServerlessOpen models

Accelerate Inference. Maximize efficiency.

Fast and efficient serverless inference service, based on MangoBoost's infrastructure.

Launch offer
  • $10in free creditswhen you sign up
  • 30% offall models for 30 daysafter launch, through Nov 11

Run open models faster. On a stack we own.

Mango Inference serves leading open weight models on MangoBoost's own full stack, from DPU to server to inference software. That means faster responses and more work from every token, with no GPUs or servers to manage.

Fast performance, without compromise.

An inference engine tuned across the full stack delivers up to 2.6× higher throughput and 7.9× lower latency on the same GPUs, while keeping model quality intact.

Efficiency, built for agents.

As agent workloads grow, cache hit rate drives your bill. Our prefix cache stays alive for about 1 hour, versus 10 to 30 minutes at peers, so resumed sessions keep hitting cache.

Fast performance, optimized end to end

Mango Inference runs on LLMBoost™, MangoBoost's own inference engine, on infrastructure we build ourselves. The result is higher throughput than NVIDIA B200, faster responses than peers on public inference gateways, and performance validated in MLPerf® Inference.

Higher throughput, lower latency

Up to 2.6× higher throughput and up to 7.9× lower latency than open source engines on the same GPUs, with kernels auto tuned for each model.*

Speculative decodingKernel auto tuning

Long context, reused

Long prompts and agent sessions are served from cache, not recomputed. A single cache miss resends the whole context at full price, 5 to 10× the cost of a hit.

Tiered KV cacheCache aware routing

Same model quality

Speedups come from the stack, not the model. GPQA-Diamond accuracy stays at the top among providers, up to 92.9%.**

Engine level optimization
  • *GLM-5.3, DeepSeek-V4-Pro and MiniMax-M3 (8K input / 1K output) on AMD Instinct™ MI355X vs open source SGLang / vLLM on the same GPU, measured by MangoBoost.
  • **MiniMax-M3 (FP8), measured in house; other providers from OpenRouter (2026-09-27).

Full stack, from DPU to API.

MangoBoost builds every layer Mango Inference runs on, and operates it in its own AI data center. You call an endpoint. We handle everything underneath, and your requests never pass through a third party.

MangoBoost's Full Stack Infrastructure

  1. Service

    Mango Inference

    OpenAI compatible API · API keys · usage based billing · scale to zero

  2. Inference engine

    Mango LLMBoost™

    Inference engine tuned for every model we serve

  3. Systems
    Mango Alphonso™ GPU server

    Mango Alphonso™GPU server

    AMD Instinct™ MI355X/MI350P

    Mango Kesar™ AI storage server

    Mango Kesar™AI storage server

    KV cache · model weights

  4. Data path
    Mango BoostX™ In house DPU

    Mango BoostX™In house DPU

    Network · storage offload

  5. Mango AI Factory · MangoBoost operated AI data center

Latest open models.

Every model is served through the same OpenAI compatible endpoint. Copy a model ID into the model field of your request to switch models.

30% off all models through Nov 11. Prices below already include the discount.

Claim your credits
DeepSeek logo

DeepSeek

Available-30%

DeepSeek V4.1 Flash (1017)

USD / 1M tokens · Text → Text

Input
$0.20$0.14
Cached
$0.006$0.004
Output
$0.80$0.56
Z.ai logo

Z.ai

Available-30%

GLM-5.3

USD / 1M tokens · Text → Text

Input
$1.30$0.91
Cached
$0.14$0.098
Output
$4.20$2.94
Z.ai logo

Z.ai

Available-30%

GLM-5.3-Flash

USD / 1M tokens · Text → Text

Input
$0.13$0.091
Cached
$0.03$0.021
Output
$0.45$0.315
Moonshot AI logo

Moonshot AI

Available-30%

Kimi-K3

USD / 1M tokens · Text → Text

Input
$2.90$2.03
Cached
$0.29$0.203
Output
$14.25$9.975
  • ※ This promotion is subject to change or may end early without prior notice due to company circumstances. Benefits are limited to one per account, and may be restricted or revoked in cases of duplicate or fraudulent use. ※ Credits provided through this promotion cannot be redeemed for cash or transferred to another person or account, and will expire after the stated validity period. ※ Discount rates and benefit eligibility may vary depending on the applicable service or model. Please refer to the event page for details. ※ Personal information will be used solely for the operation of this promotion and provision of benefits, and will be handled in accordance with applicable laws and our Privacy Policy. ※ Cached input is billed at a lower rate for prompt tokens served from cache. More open models are optimized and onboarded continuously.

Voice of our customers

What teams building on Mango Inference tell us.

  • We're building our own routing gateway, and we want a Korean provider like Mango Inference plugged in right behind it.

    CEO

    AI coding agent company, Korea

  • Being served on Korean infrastructure makes it far easier to get our security team on board, especially when customers can suddenly ban overseas model services.

    POC customer team

    AI coding agent company, Korea

  • For financial-sector customers, a Korean region earns extra points, and it protects us from the risk of overseas AI services being cut off.

    POC customer team

    AI coding agent company, Korea

Three steps to your first call.

No infrastructure setup. Sign in, pick a model and connect your code.

  1. Get your API key

    Issue an API key instantly on the Mango Inference console. No waiting.

  2. Choose and test a model

    Pick an open weight model and tune parameters in the Playground to check output quality. Playground credits included.

  3. Connect your code

    It is an OpenAI compatible endpoint. Change the base URL and model name, and your existing code just works.

Start building with Mango Inference

Get an API key, pick an open model and point your existing code at one endpoint. Pay only for the tokens you use.