Advertise here
#336

Mercury 2.5 Preview

Inception Release: 2026-09-02 Tested on: 2026-10-01 04:24 inception/mercury-2.5-preview::low
~100BOtherClosedEstimated

Summary

Mercury 2.5 Preview scores 5.0 on AI BENCHY and ranks #336. It has 9.9 reliability, a 44.9% pass rate, $0.015 total cost, and 4.92s average response time.

What makes Mercury 2.5 Preview unique: It stands out most in Puzzle Solving, where it ranks #1, while Tool Calling is its weakest area at #15.

Model facts

Researched on 2026-09-02

Estimated
Parameters
~100B
Architecture
Other
Availability
Closed
License
-

Best estimate from public evidence; the vendor did not disclose every value. Inception identifies Mercury 2.5 as a diffusion LLM but does not disclose its parameter count; the estimate follows the Mercury 2 family record.

Score

5.0

Consistency

7.1

Total Cost (Current Price)

$0.015 ↑ +2.2%

Tested at: $0.015

Total Output Tokens

36,870

Total Input Tokens

235,438

Input Price

$0.040 / 1M

Output Price

$0.150 / 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.

Tests Correct

Wrong Tests: 17

Attempt pass rate: 44.9%

Flaky tests

8

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

Response Time (avg)

4.92s

Response Time (max): 84.47s

Response Time (total): 113.24s

Hamster playing table tennis

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

#336 Mercury 2.5 Preview

low
Cost
$0.001
Time
1.5s
Tokens
1,169 tok

Price History

Historical pricing data for this model from OpenRouter.

Date Input Price Output Price Cache Read Price Cache Write Price
2026-10-01 18:33 $0.040 / 1M $0.150 / 1M N/A 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

Category Breakdown

Category Score Consistency Tests Correct
Agentic 5.0 10.0
Anti-AI Tricks 5.6 3.8
Coding 5.5 10.0
Combined 3.0 10.0
Data parsing and extraction 6.3 5.8
Domain specific 4.1 4.4
General Intelligence 5.0 10.0
Instructions following 6.3 10.0
Puzzle Solving 8.2 7.2
Tool Calling 2.8 1.6
Trivia 3.0 10.0

Compared models