Qwen3.8 2.4T A95B
qwen3.8-2.4t-a95bQwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is... Built by Qwen.
Prices updated
Input price
$2.00
per 1M tokens · Standard
Output price
$6.00
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
131K
tokens
Input formats
Output formats
Qwen3.8 2.4T A95B price history
2 price records since 9/25/2026
Qwen3.8 2.4T A95B cost calculator
$70/month
Standard pricing
Overview
What is Qwen3.8 2.4T A95B?
Qwen3.8 2.4T A95B is a text & reasoning model from Qwen. Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is... Its 1M context window and $2.00 input price make it a candidate for quality-focused production applications.
Benchmarks
Qwen3.8 2.4T A95B benchmarks & speed
How Qwen3.8 2.4T A95B scores on standardized evaluations, and where it lands among every model we track.
39.9
Intelligence Index
38tok/s
Output speed
Reasoning
GPQA Diamond
93.5%
Graduate-level scientific reasoning · top 7%
HLE
42.4%
Humanity's Last Exam · top 16%
Coding
SciCode
54.1%
Python for scientific computing · top 33%
Latency & design
- Time to first token
- 2.75s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Qwen3.8 2.4T A95B pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$2.00
Per 1M tokens
Cached input · Standard
$0.25
Per 1M tokens
Capabilities
Qwen3.8 2.4T A95B Tools
Tools available when using Qwen3.8 2.4T A95B through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 39.9) position it for demanding production work.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning workloads in one model.
Limitations
- Real-world cost still depends on prompt length, response length and provider-specific billing rules.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider
