Poolside: Laguna S 2.1

poolside · Released Jul 21, 2026
DFO score #341 / 694
13.0 leaderboard score
Speed
73 tok/s · best OpenRouter provider
Input Price #236 / 694
$0.090 per 1M tokens
Output Price #213 / 694
$0.180 per 1M tokens
Context #35 / 694
1M tokens

Analysis Summary

Poolside Laguna S 2.1 is a text-only model listing with tool use, function calling, and a 1,048,576-token context window. No benchmark results are supplied for this model, so its reasoning, coding, and agentic reliability are unknown from the available data. The long context and tool interface could be useful in a workflow, but they are not evidence that it will execute multi-step tasks or produce accurate content consistently.

At $0.09 per million input tokens and $0.18 per million output tokens, the listed cost is low enough to support controlled testing. Begin with reversible, low-risk tasks such as draft transformations, and compare performance with a reviewed baseline before allowing tool actions to affect client systems. It is not yet a substantiated choice for production workflows without task-specific evaluation.

Assessed September 23, 2026

Editorial notes

Laguna S 2.1 lists a million-token context and tool calling at low prices, but it has no supplied benchmark results to establish production quality.

The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?

DFO Verdict

Laguna S 2.1 lists a million-token context and tool calling at low prices, but it has no supplied benchmark results to establish production quality.

#341 of 694 overall Down 3 this week

How Poolside: Laguna S 2.1 compares

Its 1M-token context window is larger than 95% of the models we list. At $0.09 per million input tokens it is cheaper than 66% of comparable models.

Position in the field
DFO score: ahead of 53% of models #328
Price: cheaper than 66% of models #236
Context: larger than 95% of models #35
worst in fieldmedianbest in field
Price vs frontier peers · $ per 1M tokens
Poolside: Laguna S 2.1 $0.09 in $0.18 out
Anthropic: Claude Opus 5.5 $4.00 in $20.00 out
Anthropic: Claude Sonnet 5.5 $2.00 in $10.00 out
Anthropic: Claude Fable 5.1 $10.00 in $50.00 out

Dark bar = input · light bar = output, scaled to the priciest peer.

Context window vs peers · tokens

1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.09 $0.000090
Output $0.18 $0.000180

What would Poolside: Laguna S 2.1 cost your business?

Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.

A website chatbot handling around 100 customer conversations a day, a few short messages each.

3,000
One request is one message, email, draft or automation call.
1,200 tokens

$0.421/mo Poolside: Laguna S 2.1 $0.0001 per request
$31.68/mo Anthropic: Claude Opus 5.5 $0.01 per request
$15.84/mo Anthropic: Claude Sonnet 5.5 · best value $0.0053 per request

Full calculator with 694 models → Price Calculator

DFO AI AUTOMATION

These numbers get smaller with the right architecture.

We route routine calls to cheap models and save Poolside: Laguna S 2.1 for the hard ones. Most clients cut their estimate by 60-80%.

Talk to our team

About Poolside: Laguna S 2.1

Laguna S 2.1 is the latest coding agent model from [Poolside](). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and..

Frequently asked questions about Poolside: Laguna S 2.1

How much does Poolside: Laguna S 2.1 cost?

Poolside: Laguna S 2.1 costs $0.09 per million input tokens and $0.18 per million output tokens.

What is the context window of Poolside: Laguna S 2.1?

Poolside: Laguna S 2.1 has a context window of 1,048,576 tokens (1M).

What can Poolside: Laguna S 2.1 do?

Poolside: Laguna S 2.1 supports tool use and function calling.

Who created Poolside: Laguna S 2.1?

Poolside: Laguna S 2.1 is developed by Poolside and was released on July 21, 2026.

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