Qwen3.8-2.4T-A95B is Alibaba’s most powerful Qwen model to date. It is a 2.4‑trillion‑parameter sparse Mixture-of-Experts (MoE) model with approximately 95 billion active parameters. It is built for autonomous, long‑duration tasks: multi‑day code runs, reproducing research papers, and self‑improvement.
Pricing
- Input Tokens: $2 /M tokens
- Output Tokens: $6 /M tokens
- Cache Read: $0.5 /M tokens
Input Modalities
- Text
Output Modalities
- Text
Context length
- 1M tokens
Max output
- 131K tokens
Capabilities
- Thinking
- Streaming
- Tool calling
- Web search
- URL context
- Code interpreter
- Computer use
- File search
- Memory tool
- Structured outputs
- Citations
- Prompt caching
- Background mode
- Server-side sessions
Providers
Alibaba Cloud alicloud-qwen3.8-2.4t-a95b
Pricing$1.69$5.07
Web Search$0.00055/request
Cache Write$2.1125/M tokens
Cache Read$0.169/M tokens
Context991K
Max output128K
Latency2.4S
Throughput48.1TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
0.00% uptime today
Deepinfra deepinfra-qwen3.8-2.4t-a95b
Pricing$2.2$6.6
Cache$0.22
Context262K
Max output248K
Latency0.7S
Throughput90.1TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
100.00% uptime today
Performance for qwen3.8-2.4t-a95b
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Try this model
Python
