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#397

Mercury 2.5

Inception Release: 2026-09-08 Tested on: 2026-10-01 04:23 inception/mercury-2.5::none
~100BOtherClosedEstimated

Summary

Mercury 2.5 scores 4.1 on AI BENCHY and ranks #397. It has 10.0 reliability, a 24.6% pass rate, $0.026 total cost, and 5.10s average response time.

What makes Mercury 2.5 unique: It stands out most in Domain specific, where it ranks #2, while Data parsing and extraction is its weakest area at #10.

Model facts

Researched on 2026-09-08

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 or topology. The low-confidence 100B estimate follows the existing Mercury family records; it is not a vendor-reported count.

Score

4.1

Consistency

7.6

Total Output Tokens

89,958

Total Input Tokens

311,488

Input Price

$0.040 / 1M

Output Price

$0.150 / 1M

Cache Read Price

$0.004 / 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: 21

Attempt pass rate: 24.6%

Flaky tests

7

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

Response Time (avg)

5.10s

Response Time (max): 63.41s

Response Time (total): 117.24s

Hamster playing table tennis

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

#397 Mercury 2.5

none
Cost
$0.001
Time
2.7s
Tokens
2,749 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 $0.004 / 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

Category Breakdown

Category Score Consistency Tests Correct
Agentic 5.0 10.0
Anti-AI Tricks 3.8 8.3
Coding 3.7 7.0
Combined 3.0 10.0
Data parsing and extraction 2.8 1.7
Domain specific 5.3 7.2
General Intelligence 4.3 9.9
Instructions following 4.9 6.9
Puzzle Solving 3.7 7.2
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models