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Poolside: Laguna S 2.1 (retires Oct 31) Coding Benchmark

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

Context1,048,576tokens
Max Output131,072tokens
Inputmodality
Price$0.10/1M input

Try Poolside: Laguna S 2.1 (retires Oct 31) in Kilo Code

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Coding Performance

Coding benchmarks and performance metrics for development tasks

Kilo Bench

% Completion on Terminal Bench 2.0
31.0%
Cost per attempt (USD)
$1.85
Benchmark
Terminal Bench 2.0

Official Kilo eval results. Cost is averaged per complete benchmark attempt.

Security

Enkrypt AI red-team scores for Poolside: Laguna S 2.1 (retires Oct 31). Each value is the share of successful attacks on a 0–100 scale — lower is safer.

Overall risk
37.6

Lower is safer

Safety

42.3/ 100

Composite safety risk from Enkrypt red-team evaluations. Lower is safer.

NIST

38.0/ 100

Average attack success across NIST-mapped tests: bias, harm, toxicity, CBRN, and insecure code.

OWASP

41.0/ 100

Weighted average of the same tests using OWASP Top 10 for LLMs 2025 risk rankings.

Attack categories

Percentage of successful attacks in each Enkrypt red-team category.

Jailbreak30.9/ 100

Share of jailbreak tests that bypassed the model's safety constraints.

Bias87.3/ 100

Share of tests that elicited biased responses.

Harmful content25.0/ 100

Share of tests that produced dangerous, violent, or hateful content.

Toxicity2.7/ 100

Share of tests that produced toxic or abusive content.

CBRN47.8/ 100

Share of tests that elicited chemical, biological, radiological, or nuclear assistance.

Insecure code25.3/ 100

Share of tests that produced vulnerable or malicious code.

Score
Value
Overall risk
37.6 / 100
Safety
42.3 / 100
NIST
38.0 / 100
OWASP
41.0 / 100
Jailbreak
30.9 / 100
Bias
87.3 / 100
Harmful content
25.0 / 100
Toxicity
2.7 / 100
CBRN
47.8 / 100
Insecure code
25.3 / 100

Security scores from the Enkrypt AI Safety Leaderboard · Last checked Oct 14, 2026

Real-World Usage

Real-world usage statistics from the Kilo Code community

Weekly Token Usage

No ranking data available for this model yet.

Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$0.10
per 1M tokens
Output Tokens
$0.20
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0060

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Specifications
Model ID
poolside/laguna-s-2.1
Created
July 21, 2026
Tokenizer
Other
Input Modalities
Text
Context Window
1,048,576 tokens
Max Completion Tokens
131,072 tokens
Input Price
$0.10 per 1M tokens
Output Price
$0.20 per 1M tokens
Cache Read Price
$0.01 per 1M tokens
Content Moderation
Disabled

Open model guides

Where Laguna S 2.1 fits

This exact artifact is reviewed as open-weight under the OpenMDW-1.1 license. Use the guides below to compare its editorial rank, licensing implications, and deployment fit.

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