When should I use Runcrate instead of Modal?

Use Modal for fine-grained serverless Python with GPUs. Use Runcrate when you want a whole GPU instance with SSH and no function timeouts, or an OpenAI-compatible inference API for open models.

Can I move Modal functions to Runcrate?

Run the same Python on an instance: `runcrate instances create --name my-gpu --gpu H100`, then `runcrate cp` your code and run it over `runcrate ssh`. For model serving, calling the inference API is often simpler than running your own server.

MODAL ALTERNATIVE

Like Modal, with full GPU instances.

Keep a whole GPU instance running for as long as the job needs, and call open models through an OpenAI-compatible API. No platform-specific decorators.

Try Runcrate View pricing

Connect your agent first

Add Runcrate's MCP server to yourself: run curl -fsSL"https://runcrate.ai/mcp.md"and follow it.

Add to Cursor Install in VS Code

Works inClaude CodeCodexOpenCodeClineRoo CodeKilo CodeCursor

H100From $3.97/hr

BillingPer second on most GPUs

8+ GPUsSelf-serve, or a custom quote

Comparison

Runcrate and Modal, side by side.

Feature	Runcrate	Modal
Runtime model	Full GPU instances + inference API	Serverless Python functions
H100 GPU access	Dedicated instance, from $3.97/hr	Function-level, ephemeral
Inference API	Open models, OpenAI format	Bring-your-own-model functions
Long-running jobs	Runs until you delete it	Function timeout limits
Client	OpenAI SDK, CLI, SSH	Modal-specific decorators

Prices

What it costs on Runcrate. Billed prices, as charged.

Name	Maker	Price	Detail
deepseek-ai/DeepSeek-V3.2	DeepSeek	$0.273 in, $0.399 out per 1M tokens	Reasoning, code, 128K ctx
deepseek-ai/DeepSeek-V4-Pro	DeepSeek	$1.37 in, $2.73 out per 1M tokens	Reasoning and code, 1M ctx
meta-llama/Llama-4-Scout-17B-16E-Instruct	Meta	$0.105 in, $0.315 out per 1M tokens	Open weights, multilingual
Qwen/Qwen3-235B-A22B-Instruct-2507	Alibaba	$0.0945 in, $0.578 out per 1M tokens	Multilingual, 256K ctx
openai/whisper-large-v3	OpenAI	$0.000473 per minute	Speech to text, 99 languages

See every model price

Why switch

Why teams move to Runcrate. One account for models and GPUs.

Open models, one API key
Chat, code, image, video, audio and vision models behind one OpenAI-compatible endpoint, billed per token, per image or per second of output.
OpenAI-compatible
Point the OpenAI SDK at api.runcrate.ai/v1 and the requests your agent already makes keep working. No custom client library.
GPUs on the same account
When an API call is not enough, start an H100 or H200 instance from the same balance and dashboard. Launch 8 or more GPUs yourself, or ask us for a custom quote.
One balance, billed as used
Inference bills each request at its listed price. Instances bill by the second on most GPUs and by the minute on a few. No minimums, no contract.

Get started

Launch it from your agent.

Your agent writes and runs it. The same key works for every model and every GPU.

Read the docsDocs

example

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