Signal 3.8 27B
Signal 3.8 27B by AgentionAI is a token-efficiency fine-tune on Qwen 3.8 27B: via self-distillation, the model generates roughly 57 percent fewer response tokens and thinking chains half the length, at equal or better quality. Licensed under Apache 2.0, available in a mid-range Q5 quantization with a 262,000-token context and local inference.
- Open Weights
- Workstation
- llama.cpp
- Text
- Vision
- Instruction-Tuned
- Batch
Sovereign Risk: MEDIUM TODO
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 73.23
- Routine
- 44.13
- Reasoning
- 29.1
- LLM Judge Avg
- 3.63 / 5
- 100 Coverage
- Avg Task Duration
- 52.67s
- Batch
- Token Rate
- 14.49tok/s
- Output Rate
- P95 Latency
- 158.13s
- Top 5 %
- Total Tokens
- 69300
- Output Volume
- Cost per 1K
- $0
- USD / 1K Requests
- Benchmark Cost
- $0
- Total · 69300 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Signal 3.8 27B
Best model
Ø All models
Code Quality
64.56
CLI Benchmark
93.67
Logical Reasoning
69.23
UX Writing
74.39
Documentation
65.24
Content Transform.
75.21
Cultural Intelligence
76.6
Synthesis Quality
66.67
Tool Execution
90
ToolUse Score
77.17
Benchmark Cost
$0
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze / Standard).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.