Qwen3.8-2.4T-A95B
Qwen3.8-2.4T-A95B is Alibaba’s first Open Weights release at Qwen-Max level (August 12, 2026), a fine-grained Mixture-of-Experts model with 2.4 trillion total and 95 billion active parameters per token. License: proprietary ‘Qwen3.8-Max License’. The model processes text in a 262,144-token context (expandable to approximately one million) with a mandatory reasoning mode (low/high/xhigh) and hybrid attention combining Gated-DeltaNet and Gated-Attention.
- Open Weights
- Frontier
- OpenRouter
- Text
- Long Context
- Agentic Orchestrator
- Unusable
Sovereign Risk: HIGH The model is developed by the Qwen Team at Alibaba Cloud, a company headquartered in China. Due to Chinese legislation (including the National Security Law) and the associated potential for state influence over technology companies, the origin risk of the weights is classified as high, regardless of the deployment location.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 76.48
- Routine
- 46.82
- Reasoning
- 29.67
- LLM Judge Avg
- 3.79 / 5
- 100 Coverage
- Avg Task Duration
- 121.65s
- Unusable
- Token Rate
- 95.04tok/s
- Output Rate
- P95 Latency
- 445.42s
- Top 5 %
- Total Tokens
- 370700
- Output Volume
- Cost per 1K
- $0.006
- USD / 1K Requests
- Benchmark Cost
- $2.22
- Total · 370700 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
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.