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#395

Decider V1.1 27B

Perplexity Release: 2026-10-07 Tested on: 2026-10-07 21:50 perplexity/pplx-decider-v1.1-27b::none
27BDenseOpen source

Summary

Decider V1.1 27B scores 2.6 on AI BENCHY and ranks #395. It has 10.0 reliability, a 17.4% pass rate, $0.002 total cost, and 320ms average response time.

What makes Decider V1.1 27B unique: It is notably fast compared with similar models.

Model facts

Researched on 2026-10-07

Reported
Parameters
27B
Architecture
Dense
Availability
Open source
License
Apache-2.0

The exact v1.1 model card identifies the Qwen3.8-27B dense backbone, Apache-2.0 weights, a separate decision readout, and the supplied inference implementation. 27B is the reported nominal model size; the model-card tensor summary rounds to 26B. OpenRouter serves this exact decision checkpoint with typed choices and probabilities, without generated text or exposed reasoning controls.

Score

2.6

Consistency

5.2

Total Output Tokens

69

Total Input Tokens

73,557

Input Price

$0.020 / 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: 8

Attempt pass rate: 17.4%

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

0

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

Response Time (avg)

320ms

Response Time (max): 491ms

Response Time (total): 3.84s

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 4.0 7.5
Coding 4.9 6.7
Combined 0.0 0.0
Data parsing and extraction 6.5 10.0
Domain specific 5.3 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