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#408

Microsoft-Decision-1

Microsoft Release: 2026-10-12 Tested on: 2026-10-12 12:34 microsoft/microsoft-decision-1::none
~9BDenseClosedEstimated

Summary

Microsoft-Decision-1 scores 1.4 on AI BENCHY and ranks #408. It has 10.0 reliability, a 7.3% pass rate, $0.002 total cost, and 982ms average response time.

What makes Microsoft-Decision-1 unique: It stands out most in Anti-AI Tricks, where it ranks #1, while Data parsing and extraction is its weakest area at #7.

Model facts

Researched on 2026-10-12

Estimated
Parameters
~9B
Architecture
Dense
Availability
Closed
License
-

Best estimate from public evidence; the vendor did not disclose every value. Microsoft identifies Qwen3.5-9B as the post-training backbone. Exact checkpoint parameter counts are not separately disclosed, so the 9B dense estimate follows that backbone. Available through Microsoft Foundry and OpenRouter; no official downloadable exact checkpoint and license were found. Returns bounded decisions without free-form text or written rationale. The OpenRouter Azure route declares no reasoning effort controls.

Score

1.4

Consistency

4.9

Total Output Tokens

69

Total Input Tokens

41,466

Input Price

$0.042 / 1M

Output Price

$0.000 / 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: 11

Attempt pass rate: 7.3%

Benchmark coverage: 36/69 attempts. Choices supplied by adapters. Supports 12/23 tests. Other tests are unsupported, not failed. Score uses the full suite.

Flaky tests

1

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

Response Time (avg)

982ms

Response Time (max): 1.41s

Response Time (total): 11.78s

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 0.0 0.0
Anti-AI Tricks 4.4 5.4
Coding 2.2 6.7
Combined 0.0 0.0
Data parsing and extraction 3.0 10.0
Domain specific 3.0 10.0
General Intelligence 0.0 0.0
Instructions following 1.5 5.0
Puzzle Solving 1.7 3.3
Tool Calling 0.0 0.0
Trivia 0.0 0.0

Compared models