by Poolside
Poolside: Laguna M.1.
text
closed
262K ctx
Cheapest input
$0.2/M
on OpenRouter
Cheapest output
$0.4/M
on OpenRouter
Hosted equiv.
~$0.14/hr
@ 100 tok/s on OpenRouter
Laguna M.1 is the flagship coding agent model from [Poolside](https://poolside.ai/), optimized for complex software engineering tasks. Designed for agentic coding workflows, it supports tool calling and reasoning, with a
Hosted API only
No self-host path — closed weights.
Poolside: Laguna M.1's weights aren't published. Use it via the access providers below.
Where to use it
Cheapest hosted endpoints.
| Provider | Access | $/M in | $/M out | |
|---|---|---|---|---|
| OpenRouter | api aggregator | $0.2 | $0.4 | Launch ↗ |
FAQ
Frequently asked.
How do I run Poolside: Laguna M.1?
Poolside: Laguna M.1 is a closed-source API model. The cheapest way to access it is through the API providers listed on this page (direct API, aggregators, and hosted chat UIs).
Where can I access Poolside: Laguna M.1?
Poolside: Laguna M.1 is available via OpenRouter. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run Poolside: Laguna M.1?
API pricing starts at $0.2/M input tokens and $0.4/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is Poolside: Laguna M.1 open-source or proprietary?
Poolside: Laguna M.1 is a proprietary model from Poolside. Access is API-only — there are no public weights to download.
API pricing
Per provider
What it costs per month across providers.
Estimate your monthly bill for Poolside: Laguna M.1 across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
Cheapest
$2.8
OpenRouter
$/M input
$0.2
per million tokens
$/M output
$0.4
per million tokens
Providers
1
with priced rows
Monthly bill
Cheapest provider on the left.
Total monthly cost — input + output tokens combined.
Loading...
Bill breakdown.
| Provider | Monthly total | |
|---|---|---|
| $2.8 | Sign up ↗ |
Full calculator
Want to compare token volumes across other models too?
Open the standalone API pricing tool →
Context window
How much it can remember.
262K tokens
≈ 196,608 English words
4K
32K
128K
1M
Capabilities
What it can do.
·
Vision input
·
Audio input
·
Video input
·
Function calling
·
Tool use
·
JSON mode
✓
Streaming
·
Fine-tuning