Qwen: Qwen3.8 27B

Image input Text input Video input Text output
Author's Description

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...

Key Specifications
Cost
$$
Context
262K
Parameters
27B
Released
Aug 14, 2026
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Seed Response Format Include Reasoning Presence Penalty Stop Frequency Penalty Temperature Max Tokens Top Logprobs Structured Outputs Reasoning Logprobs Top P
Features

This model supports the following features:

Structured Outputs Response Format Reasoning
Performance Summary

Qwen3.8 27B, an open-weight dense vision-language model from Qwen, demonstrates exceptional performance across several key metrics. It consistently ranks among the fastest models and offers highly competitive pricing, achieving an "Infinityth percentile" in both speed and price across 8 benchmarks. Furthermore, its reliability is outstanding, with a 100% success rate across all 8 benchmarks, indicating minimal technical failures. The model exhibits perfect accuracy in critical areas such as Hallucinations, General Knowledge, Coding, Reasoning, and Ethics, often achieving these results at highly competitive price points and impressive speeds within their respective categories. This makes it a strong contender for tasks requiring high precision and ethical considerations. However, its performance in Instruction Following is a notable weakness, scoring 0.0% accuracy. While it shows strong results in Mathematics (87.5% accuracy), its Email Classification accuracy (87.5%) is in the lower percentile, suggesting potential areas for improvement in nuanced classification tasks. Overall, Qwen3.8 27B is a robust model, particularly strong in knowledge-based and logical reasoning tasks, with excellent speed, cost-efficiency, and reliability.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.45
Completion $3.2

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
AkashML
AkashML | qwen/qwen3.8-27b-20260814 262K $0.45 / 1M tokens $3.2 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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