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Qwen: Qwen3.8 27B
Qwentext8.5 / 10 Overall Rating
Qwen3.8 27B is an open-weight, dense vision-language model from Qwen that processes text, image, and video inputs to generate text. It features a 1,000,000-token context window and competitive API pricing, positioning it for long-context multimodal tasks.
Context Window
1000K
Knowledge Cutoff
2025
Max Output
16K
License
Proprietary
Where it Excels (Pros)
- Massive 1M-token context window
- Supports text, image, and video inputs
- Unbeatable low-cost API pricing
- Open-weights for flexible enterprise deployment
- Huge 131K output token capacity
Limitations (Cons)
- Lacks public benchmark performance data.
- Smaller size limits complex reasoning.
- Requires additional prompt engineering.
Benchmark Breakdown
Reasoning (MMLU)82%
Coding (HumanEval)78%
Mathematics (MATH)76%
Long-Context Retrieval95%
Pricing Matrix
Input cost / 1M tokens$0.42
Output cost / 1M tokens$2.55
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