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QwenReleased on Apr 21, 2026

Qwen3.6-27B: Benchmarks, Pricing & Context Window

Qwen3.6-27B is a language model from Qwen, released in April 2026, with multimodal input, a 262K-token context window, and pricing from $0.600/M input and $3.60/M output.

Qwen3.6-27B is a dense 27-billion-parameter multimodal model in the Qwen3.6 series, supporting both vision-language thinking and non-thinking modes in a single unified checkpoint. The 64-layer language model uses a hybrid layout of 16

Input
TextImageVideo
Output
Text

Qwen3.6-27B benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for Qwen3.6-27B across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How Qwen3.6-27B holds up as conversations get longer.

Quality Tracker

Qwen3.6-27B Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Sun Sep 13 2026
Notice missing or incorrect data?

Qwen3.6-27B pricing

Providers

Qwen3.6-27B starts at $0.320 per million input tokens and $3.20 per million output tokens via DeepInfra. See all 2 providers below with their per-token pricing, latency, throughput, and modality support.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
DeepInfra logoDeepInfra
$0.320$3.20262.1K/262.1K
/
Novita logoNovita
$0.600$3.60262.1K/65.5K
0.00
1
/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.

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Qwen3.6-27B model size

Qwen3.6-27B has 27.8 billion parameters. See how it compares to other models in the same parameter range.

Parameters
27.8B
Medium (10–30B)
27.8B
1B7B70B405B

Qwen3.6-27B context window

Input and output token limits for Qwen3.6-27B, plus how it ranks on long-context understanding.

InputOutput
262Ktokens
262Ktokens
394 pages of text
262K
8K128K1M

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Qwen3.6-27B latency

Qwen3.6-27B time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.

Provider operational metrics

Time to first token, output throughput, and failed-request rate from live model usage

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Qwen3.6-27B examples

Recent arena outputs from Qwen3.6-27B, picked from the highest-ranked matchups.

Qwen3.6-27B license

Qwen3.6-27B is released under the Apache 2.0 license, which permits commercial use, has 27.8B parameters.

License
Apache 2.0
Commercial use allowed
Parameters
27.8B

Apache License 2.0 - allows commercial use

Qwen3.6-27B resources

Official sources for Qwen3.6-27B: provider documentation, official playground, official launch post, source repository, model weights.

Qwen3.6-27B vs other models

The most-compared alternatives to Qwen3.6-27B are Seed 2.0 Pro, GPT-5, Solar Pro 4. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like Qwen3.6-27B

Models ranked just above and below Qwen3.6-27B by LLM Stats score.

 

Seed 2.0 Pro

Score pending
 

GPT-5

Score pending
 

Solar Pro 4

Score pending
 

Kimi K2.5

Score pending
 

DeepSeek-V4-Flash-Max

Score pending
 

MiMo-V2-Flash

Score pending

FAQ

Common questions about Qwen3.6-27B.

When was Qwen3.6-27B released?

Qwen3.6-27B was released on April 21, 2026 by Qwen. This is the official Qwen3.6-27B release date tracked on LLM Stats.

How much does Qwen3.6-27B cost?

Qwen3.6-27B pricing starts at $0.32 per million input tokens and $3.20 per million output tokens via DeepInfra, the lowest price among tracked providers.

How big is Qwen3.6-27B?

Qwen3.6-27B has 27.8 billion parameters. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Qwen3.6-27B?

Qwen3.6-27B was created by Qwen.

What is the license for Qwen3.6-27B?

Qwen3.6-27B is released under the Apache 2.0 license. This is an open-source / open-weight license that permits self-hosting.

Is Qwen3.6-27B multimodal?

Yes, Qwen3.6-27B is multimodal and can accept both text and images as input.

Where can I use Qwen3.6-27B?

Qwen3.6-27B is available through 2 providers including DeepInfra, Novita.

Where is the Qwen3.6-27B paper or technical report?

Qwen3.6-27B has a paper or technical report available at https://qwen.ai/blog?id=qwen3.6-27b. Use that source for architecture, training, release and evaluation details.

What models should I compare Qwen3.6-27B against?

Common Qwen3.6-27B comparisons include Qwen3.6-27B vs Seed 2.0 Pro, Qwen3.6-27B vs GPT-5, Qwen3.6-27B vs Solar Pro 4. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.