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#345

Mercury 2.5

Inception Release: 2026-09-08 Tested on: 2026-10-01 04:26 inception/mercury-2.5::low
~100BOtherClosedEstimated

Summary

Mercury 2.5 scores 5.1 on AI BENCHY and ranks #345. It has 9.8 reliability, a 37.7% pass rate, $0.020 total cost, and 3.34s average response time.

What makes Mercury 2.5 unique: It stands out most in Coding, where it ranks #2, while Instructions following is its weakest area at #15.

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

5.1

Consistency

8.2

Total Output Tokens

40,302

Total Input Tokens

326,083

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: 17

Attempt pass rate: 37.7%

Flaky tests

5

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

Response Time (avg)

3.34s

Response Time (max): 47.06s

Response Time (total): 76.80s

Hamster playing table tennis

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

#345 Mercury 2.5

low
Cost
$0.001
Time
2.4s
Tokens
1,236 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 6.9 7.9
Coding 5.5 10.0
Combined 3.0 10.0
Data parsing and extraction 6.5 10.0
Domain specific 3.6 7.2
General Intelligence 4.4 9.9
Instructions following 2.9 6.0
Puzzle Solving 5.9 4.5
Tool Calling 9.8 10.0
Trivia 3.0 10.0

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