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Laguna S 2.1
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Laguna S 2.1

laguna-s-2.1llms.txt
Poolside
New
laguna-s-2.1 is Poolside's coding agent model, designed for programming and developer agent workflows. It offers a massive 1,048,576-token context window, a 118B total parameter architecture with 8B active parameters, and cost-effective text processing with prompt caching.

Pricing

  • Input Tokens: $0.1 /M tokens
  • Output Tokens: $0.2 /M tokens
  • Cache Read: $0.01 /M tokens

Input Modalities

  • Text

Output Modalities

  • Text

Context length

  • 1.05M tokens

Providers

Poolside poolside-laguna-s-2.1
Pricing$0.1$0.2
Cache$0.01
Context1M
Max output0
Latency-
Throughput-
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today

Performance for laguna-s-2.1

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime
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Latency
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Throughput
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Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="laguna-s-2.1",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is Laguna S 2.1?

laguna-s-2.1 is Poolside's coding agent model, designed for programming and developer agent workflows. It offers a massive 1,048,576-token context window, a 118B total parameter architecture with 8B active parameters, and cost-effective text processing with prompt caching.

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