Qwen 2.5 Coder 7B
Qwen 2.5 Coder 7B is a compact Open Weights coding model by Alibaba, optimized for code generation, debugging, and repair. Q6 quantization enables local operation on resource-efficient hardware with minimal quality loss; the context window spans 128,000 tokens for complex codebases. Fully commercially usable under the Apache 2.0 license.
- Open Weights
- Nano
- llama.cpp
- Text
- Instruction-Tuned
- Real-Time
Sovereign Risk: LOW Fully local inference without cloud connectivity. The weights are publicly available (Apache 2.0) and run entirely locally. NSL is not relevant, as no data is transmitted to Alibaba infrastructure.
Key metrics
Score · Latency · Cost · Quality
- Total Score Bronze
- 56.09
- Routine
- 33.79
- Reasoning
- 22.31
- LLM Judge Avg
- 2.74 / 5
- 100 Coverage
- Avg Task Duration
- 16.93s
- Real-Time
- Token Rate
- 50.07tok/s
- Output Rate
- P95 Latency
- 31.85s
- Top 5 %
- Total Tokens
- 54100
- Output Volume
- Cost per 1K
- $0
- USD / 1K Requests
- Benchmark Cost
- $0
- Total · 54100 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Qwen 2.5 Coder 7B
Best model
Ø All models
Code Quality
48.3
CLI Benchmark
87.22
Logical Reasoning
59.35
UX Writing
58.55
Documentation
49.35
Content Transform.
58.59
Cultural Intelligence
45
Synthesis Quality
34.17
Tool Execution
82.5
ToolUse Score
57.92
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).
- 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.