Qwen3.6-27B
Open weights · Apache 2.0
Successor to Qwen3.5-27B and the larger of the two open Qwen3.6 checkpoints, a 27B dense model with a hybrid Gated DeltaNet plus Gated Attention architecture under Apache 2.0.
- Input
- $0.60 / 1M tokens
- Output
- $3.60 / 1M tokens
About $13.20 for 10M input and 2M output tokens. Estimate yours
2 providers
Key Specifications
- Context window
- 262K tokens
- Max output
- 66K tokens
- Inputs
- Text, Image, Video Outputs: Text
Qwen3.6-27B pricing by provider
| Provider | Input / 1M tokens | Output / 1M tokens | Cost at 10M in + 2M out | |
|---|---|---|---|---|
|
Alibaba Cloud
Creator
Cheapest
|
$0.60 | $3.60 | $13.20 | View |
|
Novita
|
$0.60 | $3.60 | $13.20 | View |
Heads up: We do our best to keep these specs & prices accurate. However, cloud costs may fluctuate based on region, usage, and other factors not listed here. These are estimates based on common setups and are for informational purposes only. Always verify current rates & exact specs with the provider before provisioning. LLM rates are base-tier, on-demand prices per 1M tokens; cached-input, batch and long-context tiers are not included.
Compare every model at this volume in the LLM cost calculator.
Capabilities
Function calling
Connect to external tools, APIs, and systems.
Structured output
Return responses in structured formats like JSON.
Estimated cost to self-host Qwen3.6-27B
Qwen3.6-27B has 27B parameters. At 4-bit it needs about 16 GB of GPU memory, at 8-bit 32 GB and at BF16 65 GB, counting 20% on top of the weights for KV cache and runtime overhead.
| Precision | Memory needed | Cheapest rentals that fit | Per month, 24/7 |
|---|---|---|---|
| 4-bit | 16 GB |
RTX 3090
($0.13/hr)
RTX 3090 Ti
($0.19/hr)
|
$94 |
| 8-bit | 32 GB |
RTX A6000
($0.56/hr)
A40
($0.74/hr)
|
$403 |
| BF16 | 65 GB |
A100
($1.76/hr)
RTX PRO 6000
($2.19/hr)
|
$1,267 |
$0.13 an hour (RTX 3090) buys about 118K tokens an hour at the cheapest hosted rate we track ($0.60 in / $3.60 out per 1M tokens on Alibaba Cloud, 5:1 input to output); below that volume the API is cheaper, before idle time. Compare hosted costs.
Memory is parameters × bytes per weight at each precision, plus 20% for KV cache and runtime overhead. Rentals are the cheapest cards that hold it, at provider-weighted median on-demand prices for the week of August 17, 2026, consumer cards included, in nodes of up to 8 GPUs; a fit with under 15% headroom is marked tight. A month is 720 hours. See the best-value GPUs guide for the same table across models, and cloud GPU pricing for every card.
More from Alibaba Cloud
| Model | Context | Input / 1M | Output / 1M |
|---|---|---|---|
|
Qwen3.5-397B-A17B
Open weights
|
262K | $0.60 | $3.60 |
|
Qwen3.6-Plus
|
1M | $0.50 | $3.00 |
|
Qwen3-Max
|
262K | $0.85 | $3.38 |
|
Qwen3.5-Plus
|
1M | $0.40 | $2.40 |
|
Qwen3.7-Plus
|
1M | $0.40 | $1.60 |
|
Qwen3.5-122B-A10B
Open weights
|
262K | $0.40 | $3.20 |
|
Qwen3-Coder-480B-A35B
Open weights
|
262K | $0.38 | $1.55 |
|
Qwen2.5-72B Instruct
Open weights
|
33K | $0.38 | $0.40 |
Models near this price
The models nearest this one by input rate, five each way, at each one's cheapest listed provider.
Frequently Asked Questions
How much does Qwen3.6-27B cost?
Qwen3.6-27B costs $0.60 per 1M input tokens and $3.60 per 1M output tokens via Alibaba Cloud; all 2 providers listing it charge the same rate. Alibaba Cloud publishes the weights, so it can also be run on your own hardware.
What does Qwen3.6-27B cost for 10M input and 2M output tokens?
At Alibaba Cloud's rates, 10M input tokens and 2M output tokens cost about $13.20: $6.00 for input and $7.20 for output. Input is prompts and context, output is what the model writes back; a workload that generates more than it reads shifts the cost toward the output rate of $3.60 per 1M tokens.
Which providers offer Qwen3.6-27B?
2 providers list Qwen3.6-27B: Alibaba Cloud ($0.60 in / $3.60 out) and Novita ($0.60 in / $3.60 out). Rates are per 1M tokens in USD, cheapest input rate first.
What is Qwen3.6-27B's context window?
Qwen3.6-27B accepts up to 262K tokens of input per request and returns up to 66K tokens per response. The context window is the prompt plus any documents, conversation history and tool results sent with it; every token in it is billed at the input rate.
What inputs and outputs does Qwen3.6-27B support?
Qwen3.6-27B accepts text, images and video as input and produces text. Its listed capabilities are function calling and structured output.
Can I self-host Qwen3.6-27B?
Yes. Alibaba Cloud publishes Qwen3.6-27B's weights under the Apache 2.0 license. At 4-bit it needs about 16 GB of GPU memory; the cheapest rental that holds it is RTX 3090 at $0.13 per hour, about $94 a month. $0.13 an hour (RTX 3090) buys about 118K tokens an hour at the cheapest hosted rate we track ($0.60 in / $3.60 out per 1M tokens on Alibaba Cloud, 5:1 input to output); below that volume the API is cheaper, before idle time. The estimate above prices 8-bit and BF16 too.
How does Qwen3.6-27B compare with Qwen3.5-397B-A17B?
Qwen3.6-27B and Qwen3.5-397B-A17B both cost $0.60 per 1M input tokens ($3.60 vs $3.60 per 1M output tokens). Both have a 262K-token context window.
What are cheaper alternatives to Qwen3.6-27B?
Models from other creators with a lower input rate and at least Qwen3.6-27B's 262K-token context window: Kimi K2 at $0.57 per 1M input tokens (262K context), Gemini 3 Flash Preview at $0.50 per 1M input tokens (1M context) and DeepSeek V4 Pro at $0.45 per 1M input tokens (1M context). Rates are the cheapest listed provider for each; whether the quality holds for a given task is a separate question.
Cheaper alternatives to Qwen3.6-27B
Kimi K2
$0.57 per 1M input tokens and $2.30 per 1M output tokens via Novita, 262K-token context, by Moonshot AI.
Gemini 3 Flash Preview
$0.50 per 1M input tokens and $3.00 per 1M output tokens via Google Cloud, 1M-token context, by Google Cloud.
DeepSeek V4 Pro
$0.45 per 1M input tokens and $0.89 per 1M output tokens via GPUhub, 1M-token context, by DeepSeek.