DeepSeek R1 Distill Qwen 7B
What the small distill models lack: the complete reasoning pattern of the R1 line in an edge-suitable footprint. DeepSeek-R1-Distill-Qwen-7B brings 7.6B dense parameters on a Qwen-2.5-Math-7B base, 128,000 tokens of context, an MIT license, and runs locally as an Unsloth GGUF on consumer hardware.
- Open Weights
- Edge
- llama.cpp
- Text
- Instruction-Tuned
- Batch
Sovereign Risk: MEDIUM TODO
Key metrics
Score · Latency · Cost · Quality
- Total Score Standard
- 42.58
- Routine
- 27.08
- Reasoning
- 15.5
- LLM Judge Avg
- 1.8 / 5
- 100 Coverage
- Avg Task Duration
- 110.66s
- Batch
- Token Rate
- 29.27tok/s
- Output Rate
- P95 Latency
- 663.47s
- Top 5 %
- Total Tokens
- 158800
- Output Volume
- Cost per 1K
- $0
- USD / 1K Requests
- Benchmark Cost
- $0
- Total · 158800 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
DeepSeek R1 Distill Qwen 7B
Best model
Ø All models
Code Quality
32
CLI Benchmark
57.78
Logical Reasoning
41.38
UX Writing
45.25
Documentation
40.45
Content Transform.
43.52
Cultural Intelligence
45.3
Synthesis Quality
Tool Execution
ToolUse Score
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.