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  1. Models
  2. Text
  3. Qwen

Qwen3.6 27B Thinking

Qwen3.6 27B is a native vision-language dense model with stronger agentic coding and STEM reasoning than Qwen 3.5 27B. It also improves spatial intelligence (including object localization/detection), plus video understanding, document OCR, and visual-agent workflows.

  • Reasoning
  • Vision
  • Video Input

Added Apr 23, 2026

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.203
Output
$2.24
Compare provider prices

Specifications

Context window
262.1K
Max output
65.5K
Parameters
27B
Avg output (7d)
2.6K tokens
Longer than 96% of models

Benchmarks

No public benchmark scores for this model yet.

Providers

Choose or restrict providers with the API. Provider-selection prices include the selection markup. Provider selection guide · Pricing API (JSON, USD per 1K tokens)

Auto
Auto (ZDR)
$0.203$2.24N/AN/AN/A
Auto
Auto (Anonymized)
$0.203$2.24N/AN/AN/A
Reka
Reka
UNK
$0.157$1.47$0.0284N/AN/A
Chutes
Chutes
FP8
US
$0.263$2.10$0.02622.8s27 tps
SiliconFlow
SiliconFlow
FP8
SG
$0.315$3.36N/A1.1s25 tps
Uomi
Uomi
GLB
$0.329$3.21N/AN/AN/A
DeepInfra
DeepInfra
FP8
US
$0.336$3.36N/A0.5s51 tps
Alibaba
Alibaba
SG
$0.63$3.78N/A0.6s60 tps
Novita
Novita
US
$0.63$3.78N/AN/AN/A
Privacy:ZDR, prompts not retainedNo training on promptsRetention and training unclearBest latency and throughput are highlighted.
Batch API
ProviderInputOutputCached input
Auto
Autoqwen/qwen3.6-27b:thinking
$0.203/M$2.24/MN/A

Batch rows for this model use normal routing and cost the same as standard API requests. Set provider in a row to choose a provider.

Related text models

Compare Qwen3.6 27B Thinking with similar models from the same provider or model family.

Qwen3.6 27B

qwen/qwen3.6-27b

Qwen3.6 27B is a native vision-language dense model with stronger agentic coding and STEM reasoning than Qwen 3.5 27B. It also improves spatial intelligence (including object localization/detection), plus video understanding, document OCR, and visual-agent workflows.

Qwen3.8 Omni Flash

qwen/qwen3.8-omni-flash

Qwen3.8 Omni Flash is a fast omni-modal reasoning model for understanding text, images, audio, and video. It is especially suited to meeting summaries, transcripts and subtitles, speaker-aware audiovisual analysis, and long-form content review. It returns text and supports a nearly one-million-token context window, tool calling, and structured output.

Qwen3.8 Max 0902

qwen/qwen3.8-max-0902

Qwen3.8 Max 0902 is Alibaba's September 2 checkpoint of its flagship Qwen3.8 Max model for coding, knowledge work, data analysis, and long-running agent workflows. It supports text, image, video, PDF input, selectable thinking, tool calling, structured output, and a near-million-token context window.

Qwen3.8 Flash

qwen/qwen3.8-flash

Qwen3.8 Flash is Alibaba's latest fast multimodal model, with a million-token context window for coding, agentic workflows, visual understanding, long documents, codebases, and videos.

Qwen3.6 Flash

qwen/qwen3.6-flash

Qwen3.6 Flash is Alibaba's fast native vision-language model in the Qwen 3.6 family. It improves over 3.5 Flash with stronger coding/agent performance and better spatial intelligence, including object localization and detection.

Qwen 3.8 27B Antislop

qwen/qwen3.8-27b-antislop

Qwen 3.8 27B Antislop is a creative-writing finetune designed to reduce formulaic prose. Available capabilities include image understanding, tool calling, and optional reasoning, with context windows up to 262,144 tokens.