Poolside
Release: 2026-04-28
Tested on: 2026-05-08 15:31
poolside/laguna-m.1::medium
225B total (23B active)MoEOpen source
(medium)
(default)
Summary
Laguna M.1 scores 3.9 on AI BENCHY and ranks #406. It has 10.0 reliability, a 43.5% pass rate, $0.033 total cost, and 14.73s average response time.
What makes Laguna M.1 unique: It stands out most in Data parsing and extraction, where it ranks #1, while Agentic is its weakest area at #11.
Archived model: this model is no longer updated or tested on new tests.
Model facts
Researched on 2026-08-12
- Parameters
- 225B total (23B active)
- Architecture
- MoE
- Availability
- Open source
- License
- Apache-2.0
3.9
Consistency
7.5
10.0
Total Output Tokens
58,087
Total Input Tokens
44,969
Input Price
$0.200 / 1M
Output Price
$0.400 / 1M
Cache Read Price
N/A
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.
Flaky tests
2
Flaky tests had mixed outcomes across runs (at least one pass and one fail).
Price History
Historical pricing data for this model from OpenRouter.
| Date | Input Price | Output Price | Cache Read Price | Cache Write Price |
|---|---|---|---|---|
| 2026-06-04 15:40 | $0.000 / 1M | $0.000 / 1M | N/A | N/A |
| 2026-06-29 01:00 | $0.200 / 1M | $0.400 / 1M | N/A | N/A |
Charts
Choose the first model, then click a second model to open a side-by-side page.
Score vs Total Cost
Response Time (avg)
Score vs Response Time (avg)
Total Output Tokens
Score vs Total Output Tokens
Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Agentic | 0.0 | 0.0 | |
| Anti-AI Tricks | 6.5 | 10.0 | |
| Coding | 1.5 | 0.4 | |
| Combined | 1.5 | 5.0 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 5.3 | 7.2 | |
| General Intelligence | 3.0 | 10.0 | |
| Instructions following | 10.0 | 10.0 | |
| Puzzle Solving | 5.3 | 10.0 | |
| Tool Calling | 10.0 | 10.0 | |
| Trivia | 3.0 | 10.0 |