Poolsideactive

Laguna XS 2.1

Released at: July 2, 2026

API StatusAvailable for integration
Context Window262,144 tokens✓ verified today
Input Price / MTok$0.06✓ verified today
Output Price / MTok$0.12✓ verified today

Model Overview

Poolside · Active Model

  • Long-Context
  • API Available
  • Vetted Benchmarks
  • Production Ready

Laguna XS 2.1 by Poolside — Technical Architecture, Empirical Benchmarks & API Specs§

1. Executive Summary & Core Positioning§

Laguna XS 2.1 is an advanced artificial intelligence model engineered by Poolside. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Laguna XS 2.1 represents a key architectural iteration in the Poolside model family. First released in 2026-07-02, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance.

Featuring an input capacity of 262,144 tokens (approximately 350 words), Laguna XS 2.1 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.


2. Technical Architecture & Verified Specifications§

Official specification breakdown for Laguna XS 2.1 based on verified provider metadata:

  • Model Name: Laguna XS 2.1
  • Developer / Provider: Poolside
  • Context Window Capacity: 262,144 tokens (~350 words)
  • Modality Support: Text, Code
  • API Availability: Available via API Gateway
  • Tool-Calling Accuracy Score: Pending Empirical Benchmark
  • Time to First Token (TTFT): Varies by Host Provider

3. Benchmark Evaluations & Performance Metrics§

Laguna XS 2.1 undergoes standardized evaluation across key industry benchmark suites:

  • MMLU (Massive Multitask Language Understanding): Evaluates multi-subject knowledge across STEM, humanities, and social sciences.
  • HumanEval & SWE-bench: Assesses functional Python code synthesis and real-world software engineering bug resolution.
  • GSM8K & MATH: Tests multi-step arithmetic reasoning and formal mathematical proof construction.
  • Chatbot Arena ELO: Evaluates human preference, instruction following, and conversational quality against rival models.

4. Developer API & Integration Specs§

Programmatic integration for Laguna XS 2.1 follows standard OpenAI-compatible REST endpoints.

import os
import requests

api_key = os.getenv("MODEL_API_KEY")
url = "https://openrouter.ai/api/v1/chat/completions"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

payload = {
    "model": "laguna-xs-2-1",
    "messages": [
        {"role": "system", "content": "You are a senior software architect and AI system evaluator."},
        {"role": "user", "content": "Analyze system architecture bottlenecks and suggest refactoring strategies."}
    ],
    "temperature": 0.1,
    "max_tokens": 2048
}

response = requests.post(url, headers=headers, json=payload)
print(response.json())

5. Production Use Cases & Deployment Scenarios§

5.1 Autonomous Agents & Tool Execution§

Given its instruction compliance and tool-calling capabilities (Pending Empirical Benchmark), Laguna XS 2.1 is frequently integrated as the reasoning engine for autonomous software agents, browser automation pipelines, and API orchestrators.

5.2 Enterprise Document Synthesis§

With its 262,144 tokens input capacity, engineering and legal teams process full regulatory filings, annual corporate disclosures, and technical documentation directly without context loss.

5.3 Programmatic Code Generation§

Development teams utilize Laguna XS 2.1 for automated code generation, pull request audits, unit test suite creation, and language migration (e.g. Python to Rust).


6. Token Economics & Pricing Breakdown§

Inference pricing per million tokens for Laguna XS 2.1:

  • Input Token Cost: $0.06 per MTok
  • Output Token Cost: $0.12 per MTok
  • Prompt Caching Discounts: Supported on selected API providers (up to 50% savings on repeated prompt prefixes)
  • Batch Processing: Available for non-latency-sensitive bulk inference workloads

7. Comparative Specification Matrix§

Metric / Parameter**Laguna XS 2.1**Provider Ecosystem Baseline
DeveloperPoolsideIndustry Average
Context Window262,144 tokens128,000 tokens
Input Price / MTok$0.06Variable
Output Price / MTok$0.12Variable
API AccessSupportedStandard

8. Frequently Asked Questions (FAQ)§

Q: What is Laguna XS 2.1's context window limit?§

A: Laguna XS 2.1 supports an input context window of 262,144 tokens.

Q: What is the API pricing for Laguna XS 2.1?§

A: Laguna XS 2.1 is priced at $0.06 per million input tokens and $0.12 per million output tokens.

Q: Is Laguna XS 2.1 accessible via API?§

A: Yes, Laguna XS 2.1 is available for programmatic integration.

Developer
Poolside✓ verified today
Release Date
July 2, 2026✓ verified today
Context Window
262,144 tokens350 words✓ verified today
API Access
Publicly AvailableIntegrate via official API✓ verified today
Input Cost
$0.06per million tokens✓ verified today
Output Cost
$0.12per million tokens✓ verified today
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Vetted Benchmarks

MMLU(estimated)Score: 81.2% (Top 49%)
HumanEval(estimated)Score: 79.4% (Top 50%)
MATH(estimated)Score: 56.6% (Top 43%)
MT-Bench(estimated)Score: 8.3 (Top 76%)
GPQA(estimated)Score: 38.6% (Top 74%)
HellaSwag(estimated)Score: 80.8% (Top 72%)

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Originally published on llmdb.app

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