Qwen 3 Coder Next
Qwen 3 Coder Next is a coding-specialized Open Weights MoE model by Alibaba with 80 billion total and 3 billion active parameters. Q4 quantization significantly reduces memory requirements for local inference; the context window spans 262,000 tokens. Deployable locally on Workstation hardware under the Apache 2.0 license, optimized for coding agents and large codebases.
- Open Weights
- Workstation
- llama.cpp
- Text
- Instruction-Tuned
- Agentic Orchestrator
- Interactive
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 74.07
- Routine
- 45.22
- Reasoning
- 28.85
- LLM Judge Avg
- 3.67 / 5
- 100 Coverage
- Avg Task Duration
- 23.86s
- Interactive
- Token Rate
- 48.49tok/s
- Output Rate
- P95 Latency
- 65.8s
- Top 5 %
- Total Tokens
- 75100
- Output Volume
- Cost per 1K
- $0
- USD / 1K Requests
- Benchmark Cost
- $0
- Total · 75100 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Qwen 3 Coder Next
Best model
Ø All models
Code Quality
79.8
CLI Benchmark
88.89
Logical Reasoning
64.64
UX Writing
71.65
Documentation
68.1
Content Transform.
75.73
Cultural Intelligence
80.3
Synthesis Quality
51.67
Tool Execution
90
ToolUse Score
70.88
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.