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#377

Laguna S 2.1

Poolside Release: 2026-07-21 Tested on: 2026-10-01 03:56 poolside/laguna-s-2.1::low
118B total (8B active)MoEWeights available
(high) (medium) (low) (none)

Summary

Laguna S 2.1 scores 4.6 on AI BENCHY and ranks #377. It has 10.0 reliability, a 23.2% pass rate, $0.108 total cost, and 88.24s average response time.

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

4.6

Consistency

7.8

Reliability

10.0

Total Cost (Current Price)

$0.108 ↓ -1.0%

Tested at: $0.109

Total Output Tokens

437,706

Total Input Tokens

232,641

Input Price

$0.090 / 1M

Output Price

$0.180 / 1M

Cache Read Price

$0.009 / 1M

Cache Write Price

N/A

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Tests Correct

Wrong Tests: 20

Attempt pass rate: 23.2%

Flaky tests

6

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

Response Time (avg)

88.24s

Response Time (max): 814.73s

Response Time (total): 2029.57s

Wrong answer: 16 Did not follow instructions: 2 Extra formatting: 1 Invalid tool call: 1

Hamster playing table tennis

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

#377 Laguna S 2.1

low
Cost
$0.001
Time
6.6s
Tokens
1,314 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-10-01 03:56 Re-test 4.6 10.0 $0.108 ↓ Current run
2026-07-22 12:34 Initial run 5.0 9.9 $0.091 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 Cache Read Price Cache Write Price
2026-07-22 12:53 $0.100 / 1M $0.200 / 1M N/A N/A
2026-08-14 12:51 $0.090 / 1M $0.180 / 1M N/A N/A
2026-10-01 18:33 $0.090 / 1M $0.180 / 1M $0.009 / 1M N/A

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
Agentic 2.8 1.6
Anti-AI Tricks 3.4 7.4
Coding 3.8 7.1
Combined 3.2 5.2
Data parsing and extraction 10.0 10.0
Domain specific 3.0 10.0
General Intelligence 4.8 10.0
Instructions following 4.3 6.8
Puzzle Solving 3.1 7.3
Tool Calling 10.0 10.0
Trivia 3.0 10.0

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