Qwen3.8 27B (Non-reasoning)开源

Alibaba · 发布于 2026年8月14日

Alibaba Qwen3.8 27B (Non-reasoning) model with 260K context window, optimized for advanced reasoning and multimodal tasks.

textimagevideo260K ctx27 billion
65.0
Podium 综合得分
第 220 名 / 共 693 个
Intelligence Rank
65.0#220
AAQI: 30.0
Output Speed
62 t/s
TTFT: ~3.06s · ITL: 16.1 ms/tok
Blended Price (3:1)
$1.125 /1M
In: $0.5/M · Out: $3/M · Cache: $0.05
Context Capacity
260K
≈ 650 A4 Pages (Max Out: 16384)

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Qwen3.8 27B (Non-reasoning)
Claude Mythos Preview (#1)
Average (68)
Coding (68)Mathematics (39)Hard Science (GPQA) (45)Agentic & Tool Use (36)Instruction Following (67)Vision / Multimodal (36)
API Deployment

Compare Multi-Host Hosting & Latency

Benchmark inference speed, TTFT latency distributions, and prompt cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, AWS Bedrock, and Azure.

View API Providers Matrix →

各榜单得分

分类能力得分

基准测试分项

模型详细参数

发布日期2026年8月14日
参数量27 billion
开源协议Open Weights
上下文窗口260,000 tokens
输入价格$0.5/M
输出价格$3/M
输出速度62 t/s
首Token延迟3 ms

💰 Estimated Monthly Bill & TCO Calculator

Estimated Monthly Spend
$0.00
Calculating savings vs GPT-4o...

🔖 Embed Badges & Citation Snippet

GitHub Markdown Badge
[![LLMPodium Rank](https://llmpodium.com/badge/qwen3-8-27b-non-reasoning/rank.svg)](https://llmpodium.com/models/qwen3-8-27b-non-reasoning)
BibTeX Citation
@misc{llmpodium2026qwen3827bnonreasoning,
  title = {Benchmark Analysis and Intelligence Evaluation of Qwen3.8 27B (Non-reasoning)},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/qwen3-8-27b-non-reasoning}
}

正面比较

最佳模型

model.alternatives_title

model.alternatives_desc

0 / 4 Models Selected