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#290

Laguna S 2.1

Poolside Release: 2026-07-21 Tested on: 2026-08-14 04:00 poolside/laguna-s-2.1::none
118B total (8B active)MoEWeights available
(high) (medium) (low) (none)

Summary

Laguna S 2.1 scores 4.5 on AI BENCHY and ranks #290. It has 10.0 reliability, a 15.2% pass rate, $0.022 total cost, and 11.67s average response time.

What makes Laguna S 2.1 unique: It stands out most in Data parsing and extraction, where it ranks #1, while Tool Calling is its weakest area at #9.

Model facts

Researched on 2026-08-12

Reported
Parameters
118B total (8B active)
Architecture
MoE
Availability
Weights available
License
OpenMDW
Parameter source Availability source

Score

4.5

Consistency

8.8

Reliability

10.0

Total Cost (Current Price)

$0.022 ↓ -10.0%

Tested at: $0.025

Total Output Tokens

57,634

Total Input Tokens

125,604

Input Price

$0.090 / 1M

Output Price

$0.180 / 1M

Tests Correct

Wrong Tests: 20

Attempt pass rate: 15.2%

Flaky tests

3

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

11.67s

Response Time (max): 200.52s

Response Time (total): 256.71s

Wrong answer: 18 Did not follow instructions: 1 No answer: 1

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#290 Laguna S 2.1

none
Cost
$0.001
Time
7.6s
Tokens
1,345 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 04:00 Re-test 4.5 10.0 $0.022 ↓ Current run
2026-07-22 11:57 Initial run 4.5 10.0 $0.025 Compare

This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.

Price History

Historical pricing data for this model from OpenRouter.

Date Input Price Output Price
2026-07-22 12:53 $0.100 / 1M $0.200 / 1M
2026-08-14 12:51 $0.090 / 1M $0.180 / 1M

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

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Category Breakdown

Category Score Consistency Tests Correct
Anti-AI Tricks 3.1 7.9
Coding 3.4 9.7
Combined 2.9 5.8
Data parsing and extraction 10.0 10.0
Domain specific 3.0 10.0
General Intelligence 5.0 10.0
Instructions following 4.3 9.9
Puzzle Solving 3.1 10.0
Tool Calling 4.7 1.6
Trivia 3.0 10.0

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