One API key.
Every major model.

One API key.
Every major model.

One API key.
Every major model.

Access OpenAI, Anthropic, Google, DeepSeek, Grok, Qwen, and Mistral through a single OpenAI-compatible endpoint. One API key, one invoice, zero provider management.

Access OpenAI, Anthropic, Google, DeepSeek, Grok, Qwen, and Mistral through a single OpenAI-compatible endpoint. One API key, one invoice, zero provider management.

Huddle01 Cloud - Deploy your AI Agents in 60 seconds | Product Hunt
20+

Models available

7

Providers

1

API key needed

Trusted by

Trusted by

Zostel brand logo
Suraasa brand logo
Marut Drones logo
Remixlabs brand logo
Zostel brand logo
Suraasa brand logo
Marut Drones logo
Zostel brand logo
Suraasa brand logo
Marut Drones logo
Remixlabs brand logo

Change one line. Access every model.

Change one line. Access every model.

Use the OpenAI SDK you already have.

Just point it at Huddle01.

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_HUDDLE_API_KEY",          # ← one key for everything
    base_url="<https://gru.huddle01.io/v1>",  # ← that's it
)

# Use any model — GPT, Claude, Gemini, DeepSeek, Grok...
resp = client.chat.completions.create(
    model="claude-sonnet-4.6",  # swap to "gpt-5.4" or "gemini-2.5-flash" anytime
    messages=[{"role": "user", "content": "Hello from Huddle01"}],
)
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_HUDDLE_API_KEY",          # ← one key for everything
    base_url="<https://gru.huddle01.io/v1>",  # ← that's it
)

# Use any model — GPT, Claude, Gemini, DeepSeek, Grok...
resp = client.chat.completions.create(
    model="claude-sonnet-4.6",  # swap to "gpt-5.4" or "gemini-2.5-flash" anytime
    messages=[{"role": "user", "content": "Hello from Huddle01"}],
)
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_HUDDLE_API_KEY",          # ← one key for everything
    base_url="<https://gru.huddle01.io/v1>",  # ← that's it
)

# Use any model — GPT, Claude, Gemini, DeepSeek, Grok...
resp = client.chat.completions.create(
    model="claude-sonnet-4.6",  # swap to "gpt-5.4" or "gemini-2.5-flash" anytime
    messages=[{"role": "user", "content": "Hello from Huddle01"}],
)

Why unified inference

Why unified inference

4 providers, 4 API keys, 4 dashboards
4 providers, 4 API keys, 4 dashboards
4 providers, 4 API keys, 4 dashboards

Every AI provider has its own authentication, its own SDK quirks, its own dashboard. Your team juggles separate credentials, separate rate limit pages, separate usage tracking.

Every AI provider has its own authentication, its own SDK quirks, its own dashboard. Your team juggles separate credentials, separate rate limit pages, separate usage tracking.

for a shared control plane you can't even SSH into. 5 clusters = $365/mo before a single pod runs.

One API key. One dashboard.
One API key. One dashboard.
One API key. One dashboard.

One Huddle01 API key works across OpenAI, Anthropic, Google, DeepSeek, Grok, Qwen, and Mistral. Standard OpenAI SDK — no new libraries, no wrapper code.

One Huddle01 API key works across OpenAI, Anthropic, Google, DeepSeek, Grok, Qwen, and Mistral. Standard OpenAI SDK — no new libraries, no wrapper code.

5 invoices for 5 AI vendors
5 invoices for 5 AI vendors
Egress fee add up fast

Your finance team reconciles separate invoices from OpenAI, Anthropic, and Google every month. AI spend is scattered across credit cards, billing accounts, and payment methods.

Your finance team reconciles separate invoices from OpenAI, Anthropic, and Google every month. AI spend is scattered across credit cards, billing accounts, and payment methods.

Your finance team reconciles separate invoices from OpenAI, Anthropic, and Google every month. AI spend is scattered across credit cards, billing accounts, and payment methods.

One invoice. One balance.
One invoice. One balance.
One invoice. One balance.

All AI token usage — across every model and provider — appears on your Huddle01 Cloud bill. Same balance that covers your VMs, K8s, and GPUs. One vendor, one invoice.

Every node, every cluster, every region. No per-GB fees, no caps.

Every node, every cluster, every region. No per-GB fees, no caps.




Rewriting code to switch models
Rewriting code to switch models
Rewriting code to switch models

Switching providers means updating SDKs, changing auth flows, rewriting error handling, and retesting integrations. Teams stay on suboptimal models because migration is expensive.

Switching providers means updating SDKs, changing auth flows, rewriting error handling, and retesting integrations. Teams stay on suboptimal models because migration is expensive.

Switching providers means updating SDKs, changing auth flows, rewriting error handling, and retesting integrations. Teams stay on suboptimal models because migration is expensive.

Change the model string. Done.
Change the model string. Done.
4 steps. Under 5 mins.

Same endpoint, same SDK, same auth. Switch from GPT-5.4 to Claude Sonnet to Gemini Pro by changing one parameter. A/B test models in production in 30 seconds.

Name → region → plan → deploy. Auto-scaling 1–10 nodes built in. kubeconfig ready on launch.

Transparently priced models

Faster than AWS.
At 1/3 the price.

Tier 1 frontier models and Tier 2 open-source powerhouses, all through one endpoint. Pay per token, no subscriptions. Same balance as your cloud compute.

Tier 1 frontier models and Tier 2 open-source powerhouses, all through one endpoint. Pay per token, no subscriptions. Same balance as your cloud compute.

Model

Input / 1M tokens

Output / 1M tokens

Context

Capabilities

gpt-5.4

$2.50

$20.00

1M

Text

Reasoning

Code

gpt-4.1

$2.00

$8.00

1M

Text

Code

gpt-4.1-mini

$0.40

$1.60

1M

Text

Code

gpt-4.1-nano

$0.10

$0.40

1M

Text

o3

$2.00

$8.00

200K

Reasoning

o4-mini

$1.10

$4.40

200K

Reasoning

claude-opus-4.6

$5.00

$25.00

1M

Text

Reasoning

Code

claude-sonnet-4.6

$3.00

$15.00

1M

Text

Reasoning

Code

claude-haiku-4.5

$1.00

$5.00

200K

Text

gemini-3.1-pro

$2.00

$12.00

1M

Text

Vision

gemini-2.5-pro

$1.25

$10.00

1M

Text

Vision

gemini-2.5-flash

$0.15

$0.60

1M

Fast

Vision

Model

Input / 1M tokens

Output / 1M tokens

Context

Capabilities

gpt-5.4

$2.50

$20.00

1M

Text

Reasoning

Code

gpt-4.1

$2.00

$8.00

1M

Text

Code

gpt-4.1-mini

$0.40

$1.60

1M

Text

Code

gpt-4.1-nano

$0.10

$0.40

1M

Text

o3

$2.00

$8.00

200K

Reasoning

o4-mini

$1.10

$4.40

200K

Reasoning

claude-opus-4.6

$5.00

$25.00

1M

Text

Reasoning

Code

claude-sonnet-4.6

$3.00

$15.00

1M

Text

Reasoning

Code

claude-haiku-4.5

$1.00

$5.00

200K

Text

gemini-3.1-pro

$2.00

$12.00

1M

Text

Vision

gemini-2.5-pro

$1.25

$10.00

1M

Text

Vision

gemini-2.5-flash

$0.15

$0.60

1M

Fast

Vision

What teams build with it

Faster than AWS.
At 1/3 the price.

See what an H100 at $1.71/hr actually costs for real workloads.

See what an H100 at $1.71/hr actually costs for real workloads.

AI Chat & Assistants

Build customer-facing chatbots or internal assistants. Route to GPT-4.1 for cost efficiency or Claude Opus for complex reasoning, same code, different model string.

Suggested: gpt-4.1-mini · claude-sonnet-4.6

Code Generation

Power coding assistants, code review tools, and automated refactoring. Switch between Codestral, GPT-5.4, and DeepSeek V3.2 to find the best fit for your stack.

Suggested: codestral · deepseek-v3.2

Content & Summarization

Generate marketing copy, summarize documents, or extract insights from data. Use Gemini Flash for speed or Claude Sonnet for nuance.

Suggested: gemini-2.5-flash · claude-sonnet-4.6

Reasoning & Analysis

Complex multi-step analysis, research synthesis, and decision support. o3 and DeepSeek R1 for heavy reasoning,

Suggested: o3 · deepseek-r1

Trusted by teams saving up to 70% on cloud costs.

Trusted by teams saving up to 70% on cloud costs.

From AI startups to data-driven platforms, Huddle01 Cloud helps teams cut infrastructure spend by up to 70% while maintaining enterprise-grade performance.

From AI startups to data-driven platforms, Huddle01 Cloud helps teams cut infrastructure spend by up to 70% while maintaining enterprise-grade performance.

  • Opslyft brand logo
    "We've seen clear improvements in both performance and cost efficiency since migrating to Huddle01 Cloud from GCP."

    Dheeraj

    VP of Software Development

  • Opslyft brand logo
    "We've seen clear improvements in both performance and cost efficiency since migrating to Huddle01 Cloud from GCP."

    Dheeraj

    VP of Software Development

  • Opslyft brand logo
    “Switching to Huddle01 cloud was seamless. Setup took no time, and the cost savings are huge.”

    Aayush

    CEO, Opslyft

  • Opslyft brand logo
    “Switching to Huddle01 cloud was seamless. Setup took no time, and the cost savings are huge.”

    Aayush

    CEO, Opslyft

  • Suraasa brand logo
    “We deployed our workloads on Huddle01 Cloud in minutes. It was simple, fast, and way more affordable.”

    Ankit

    CTO, Suraasa

  • Suraasa brand logo
    “We deployed our workloads on Huddle01 Cloud in minutes. It was simple, fast, and way more affordable.”

    Ankit

    CTO, Suraasa

  • MetEngine brand logo
    “Huddle01 Cloud helped us cut our infrastructure bill by nearly 70% without changing a single line of code”

    Vraj Desai

    Co-Founder, MetEngine

  • MetEngine brand logo
    “Huddle01 Cloud helped us cut our infrastructure bill by nearly 70% without changing a single line of code”

    Vraj Desai

    Co-Founder, MetEngine

Commonly asked questions

Commonly asked questions

Commonly asked questions

Still have questions about GPUs, pricing, or anything else? Join our Slack community to chat directly with the engineers behind Huddle01 Cloud.

Still have questions about GPUs, pricing, or anything else? Join our Slack community to chat directly with the engineers behind Huddle01 Cloud.

Still have questions about GPUs, pricing, or anything else? Join our Slack community to chat directly with the engineers behind Huddle01 Cloud.

How is this different from using providers directly?

Is the API OpenAI-compatible?

How does pricing work?

Can I switch models without changing code?

What about rate limits?

How do I get started?