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Qwen

Qwen3.8 27B

$$StandardRun locally
Qwen
CompareChat

Open-weight dense 27B vision-language model from Qwen for long-running agent tasks. 1M-token context with text, image, and video input and flexible thinking that can be enabled or disabled. Suited to coding, professional workflows, research, and multimodal interaction on modest hardware.

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Qwen3.8 27B is somewhat expensive at $0.42/M tokens input and $3.00/M tokens output. Cached input reads are priced at $0.08/M tokens, making repeated context cheaper. The model supports vision/image input, extended reasoning, a 1M context window.

Best forLong-context analysisVision tasksCost-effective

Benchmarks

CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter

Specifications

Vision
Audio
Reasoning
Dense
Architecture
27B
Parameters
1M
Context
131K
Max output
16 GB
Local download
24 GB
Local RAM

Performance

Providers

Run locally

Run Qwen3.8 27B on your own computer with the Private AI Engine for free, with no rate limits and no third-party AI provider involved. idapt installs it and routes chat to your hardware automatically.

Download
16 GB
Recommended RAM
24 GB

ollama pull qwen3.8:27b

Misc

August 14, 2026
Released
Same family
QwenQwen3.8 2.4T A95BQwenQwen3.8 FlashQwenQwen3.8 Max (0902)
CompareChat with Qwen3.8 27B

Compare with

OpenAIGPT 6 Astravs Qwen3.8 27BOpenAIGPT 5.6 Lunavs Qwen3.8 27BAnthropicClaude Fable 5.1vs Qwen3.8 27BAnthropicClaude Opus 5vs Qwen3.8 27BAnthropicClaude Sonnet 5vs Qwen3.8 27BAnthropicClaude Haiku 4.5vs Qwen3.8 27BGoogleGemini 3.8 Flashvs Qwen3.8 27BGoogleGemini 3.5 Flashvs Qwen3.8 27BGoogleGemini 3.5 Flash-Litevs Qwen3.8 27BGoogleGemma 4 31Bvs Qwen3.8 27BxAIGrok 4.6vs Qwen3.8 27BxAIGrok Build 0.1vs Qwen3.8 27BxAIGrok 4.1 Fastvs Qwen3.8 27BMetaMuse Spark 1.3vs Qwen3.8 27BDeepSeekDeepSeek V4 Pro (0813)vs Qwen3.8 27BDeepSeekDeepSeek V4 Flashvs Qwen3.8 27BMiniMaxMiniMax M3vs Qwen3.8 27BMoonshotAIKimi K3vs Qwen3.8 27BMoonshotAIKimi K2.7 Codevs Qwen3.8 27BZhipu AIGLM 5.3vs Qwen3.8 27BZhipu AIGLM 5.3 Flashvs Qwen3.8 27BQwenQwen3.8 Max (0902)vs Qwen3.8 27BQwenQwen3.7 Plusvs Qwen3.8 27BQwenQwen3 Coder Nextvs Qwen3.8 27BNVIDIANemotron 3 Ultravs Qwen3.8 27B
Frequently Asked Questions about Qwen3.8 27B▼

When was Qwen3.8 27B released?

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Qwen3.8 27B was released on August 14, 2026.

Who created Qwen3.8 27B?

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Qwen3.8 27B was created by Qwen.

How much does Qwen3.8 27B cost?

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Qwen3.8 27B costs $0.42/M input tokens and $3.00/M output tokens.

What is Qwen3.8 27B API pricing?

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The Qwen3.8 27B API is priced at $0.42 per million input tokens and $3.00 per million output tokens. You can access Qwen3.8 27B through idapt.app alongside 200+ other AI models in one workspace.

Is Qwen3.8 27B a reasoning model?

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Yes, Qwen3.8 27B is a reasoning model. It can think step-by-step through complex problems before providing an answer, often yielding better results on difficult tasks like math, coding, and multi-step logic.

Does Qwen3.8 27B support image or vision input?

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Yes, Qwen3.8 27B supports vision/image input. You can share images in your conversation and the model will analyze and respond based on their content.

Does Qwen3.8 27B support audio?

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No, Qwen3.8 27B does not support audio input.

What is the context window of Qwen3.8 27B?

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Qwen3.8 27B has a context window of 1M tokens, meaning it can process approximately 750,000 words of context at once.

Is Qwen3.8 27B open source?

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Qwen3.8 27B is a proprietary model developed by Qwen. The model weights and training data are not publicly available.

What is Qwen3.8 27B good at?

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Based on benchmark data, Qwen3.8 27B excels at: visual analysis and image understanding. It is Qwen's capable model suitable for a wide range of tasks.

Where can I use Qwen3.8 27B?

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You can chat with Qwen3.8 27B on idapt.app — no separate API key required. idapt is an AI workspace with 200+ models, agents, computers, and tasks. You can also access Qwen3.8 27B through Qwen's own API or platform.

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