Laguna XS 2.1

Poolside chatreasoningtool_use Long

API ID: poolside/laguna-xs-2.1-20260625

Input Price
$0.06
/1M tokens
Output Price
$0.12
/1M tokens
Cached Input
$0.03
Save 50%

About Laguna XS 2.1

Laguna XS 2.1 is a budget-friendly general-purpose model from Poolside with ultra-long context (262k), suitable for conversations, content creation, and general AI tasks.

๐Ÿ’ฐ
Price Ranking
#633 lowest price among 1240 Chat models

Model Specifications

Context Length
262k
Max Output
33k
Release Date
2026-07-02
Capabilities
chat reasoning tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.06
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$1.98
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$2.79
/month
500 analyses/day, ~2k tokens each

Poolside Model Lineup

Compare all models from Poolside to find the best fit

Model Input Output Context Capabilities
Laguna XS 2.1 Current $0.06 $0.12 262k chat reasoning tool_use
Laguna S 2.1 (free) Free Free 262k chat reasoning tool_use
Laguna XS 2.1 (free) Free Free 262k chat reasoning tool_use
Laguna S 2.1 $0.09 $0.18 1.0M chat reasoning tool_use

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Input: $0.06
Output: $0.12
Context: 33k
Mistral Devstral Small 2505
Input: $0.06
Output: $0.12
Context: 131k
Amazon Nova Micro 1.0
Input: $0.04
Output: $0.14
Context: 128k
Zhipu Ai GLM 4.1V 9B Thinking
Input: $0.04
Output: $0.14
Context: 66k

๐Ÿš€ Quick Start

Get started with Laguna XS 2.1 API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="poolside/laguna-xs-2.1-20260625",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)