# Qwen3.6-27B by Qwen: Open-Weight Model
Source: https://savrn.com/models/qwen3-6-27b
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

---

## Runs On

What it takes to serve Qwen3.6-27B (27.8B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
| --- | --- | --- | --- | --- | --- |
| 16-bit | 55.6 GB | 66.7 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |
| 8-bit | 27.8 GB | 33.3 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |
| 4-bit | 13.9 GB | 16.7 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |

Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the [SAVRN Index](https://savrn.com/ai-index/pricing/gpus), read Oct 24, 2026.

[Qwen3.6-27B on every accelerator the SAVRN Index prices, at every precision](https://savrn.com/models/qwen3-6-27b/gpus)

## SAVRN's Notes on Qwen3.6-27B

Two Index hosts sell this one by the token, so the rent-or-own math is explicit: DeepInfra at $0.32 in and $3.20 out per million tokens, OVHcloud at $0.47 and $3.19, against one MI300X at $1.85 an hour that holds the full 16-bit working set of 66.7 GB — or 16.7 GB at 4-bit, leaving most of the 192 GB for the 262,144-token context. Third-party-reported evals top its MoE sibling on this list: 87.8 GPQA-diamond, 94.1 AIME 2026, 77.2 SWE-bench Verified.

Apache 2.0 permits commercial use, modification and redistribution, notices kept and changes stated, so a fine-tune is yours to ship. One naming trap: the configuration architecture reads Qwen3_5ForConditionalGeneration with model type qwen3_5 despite the 3.6 name — confirm your serving stack loads it before committing. No base model or paper is on record. Dense 27.8B parameters, image-and-text in, text out, released April 2026.

SAVRN Research

## Model Card

By Qwen, published under apache-2.0, revision 6a9e13bd6fc8.

[!Note] This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format.

These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

Following the February release of the Qwen3.5 series, we're pleased to share the first open-weight variant of Qwen3.6. Built on direct feedback from the community, Qwen3.6 prioritizes stability and real-world utility, offering developers a more intuitive, responsive, and genuinely productive coding experience.

### Qwen3.6 Highlights

This release delivers substantial upgrades, particularly in

- Agentic Coding: the model now handles frontend workflows and repository-level reasoning with greater fluency and precision.
- Thinking Preservation: we've introduced a new option to retain reasoning context from historical messages, streamlining iterative development and reducing overhead.

For more details, please refer to our blog post [Qwen3.6-27B](https://qwen.ai/blog?id=qwen3.6-27b).

### Model Overview

[Read the full model card (3,023 words)](https://savrn.com/models/qwen3-6-27b/card)

## Configuration

Architecture

Qwen3_5ForConditionalGeneration

Context length (tokens)

262,144

Layers

64

Hidden size

5,120

Feed-forward size

17,408

Attention heads

24

Key/value heads

4

Head dimension

256

Vocabulary size

248,320

Model type

qwen3_5

## Identity and Version

Repository

Qwen/Qwen3.6-27B

Publisher

Qwen

Task

Image and text to text

Modality

Image and text

Library

transformers

Parameters

27.8B parameters

Languages

Not stated by the source

Revision

6a9e13bd6fc8f0983b9b99948120bc37f49c13e9

First published

2026-04-21

Last updated

2026-04-24

## Files and Weights

29 files, 55.6 GB in total. The weights are 15 files totalling 55.6 GB in safetensors.

Weights15 files · 55.6 GB

Configuration6 files · 117.6 KB

Tokenizer4 files · 22.9 MB

Documentation2 files · 73.9 KB

Other1 file · 7.8 KB

Repository1 file · 1.6 KB

Every file

| File | Type | Size | SHA-256 |
| --- | --- | --- | --- |
| model-00001-of-00015.safetensors | Weights | 4.0 GB | 5f21d4e349ae |
| model-00002-of-00015.safetensors | Weights | 3.9 GB | 03de44dc7e93 |
| model-00003-of-00015.safetensors | Weights | 3.9 GB | 5c3a68304dab |
| model-00004-of-00015.safetensors | Weights | 3.9 GB | ba8b0849cb4c |
| model-00005-of-00015.safetensors | Weights | 3.9 GB | a5abc1d5e958 |
| model-00006-of-00015.safetensors | Weights | 3.9 GB | 160d914e2e47 |
| model-00007-of-00015.safetensors | Weights | 4.0 GB | 0bcd0ce28c7d |
| model-00008-of-00015.safetensors | Weights | 3.9 GB | 584a0ed8018d |
| model-00009-of-00015.safetensors | Weights | 3.9 GB | e7e3e1a17a26 |
| model-00010-of-00015.safetensors | Weights | 3.9 GB | e8934789f474 |
| model-00011-of-00015.safetensors | Weights | 3.9 GB | 44e8fe06d2d6 |
| model-00012-of-00015.safetensors | Weights | 3.9 GB | 33c5d7d18e1b |
| model-00013-of-00015.safetensors | Weights | 4.0 GB | 68db2ebb0323 |
| model-00014-of-00015.safetensors | Weights | 3.9 GB | 26c114fb6d5d |
| model-00015-of-00015.safetensors | Weights | 508.7 MB | b84b5b1315e8 |
| config.json | Configuration | 4.3 KB | — |
| configuration.json | Configuration | 51 B | — |
| generation_config.json | Configuration | 202 B | — |
| model.safetensors.index.json | Configuration | 112.2 KB | — |
| preprocessor_config.json | Configuration | 390 B | — |
| video_preprocessor_config.json | Configuration | 385 B | — |
| LICENSE | Documentation | 11.3 KB | — |
| README.md | Documentation | 62.6 KB | — |
| chat_template.jinja | Other | 7.8 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| merges.txt | Tokenizer | 3.4 MB | — |
| tokenizer.json | Tokenizer | 12.8 MB | 5f9e4d4901a9 |
| tokenizer_config.json | Tokenizer | 16.7 KB | — |
| vocab.json | Tokenizer | 6.7 MB | — |

## License and Download

License

apache-2.0

Access

Open weights, no gate

Download size

55.6 GB

[Download from Qwen](https://modelscope.cn/models/Qwen/Qwen3.6-27B)

Released by Qwen through ModelScope. [Read the license](https://www.apache.org/licenses/LICENSE-2.0).

## Evaluations

Each result is shown as reported, with the conditions its reporter stated. None is a SAVRN measurement. A comparison lines two results up only when their configuration, unit and setup are all stated and identical.

| Benchmark | Conditions | Result | Reported by | Revision | Date |
| --- | --- | --- | --- | --- | --- |
| Idavidrein/gpqa | Task diamondMetric diamondComparison conditions not established | 87.8 | [Model Card](https://huggingface.co/Qwen/Qwen3.6-27B) Reported by a third party | Evaluated revision not stated | 2026-04-22 |
| MMMU/MMMU_Pro | Task mmmu_pro_visionMetric mmmu_pro_visionComparison conditions not established | 75.8 | [Model Card](https://huggingface.co/Qwen/Qwen3.6-27B) Reported by a third party | Evaluated revision not stated | 2026-05-15 |
| MathArena/aime_2026 | Task MathArena/aime_2026Metric MathArena/aime_2026Comparison conditions not established | 94.1 | [Model Card](https://huggingface.co/Qwen/Qwen3.6-27B) Reported by a third party | Evaluated revision not stated | 2026-04-22 |
| MathArena/hmmt_feb_2026 | Task MathArena/hmmt_feb_2026Metric MathArena/hmmt_feb_2026Comparison conditions not established | 84.3 | [Model Card](https://huggingface.co/Qwen/Qwen3.6-27B) Reported by a third party | Evaluated revision not stated | 2026-04-22 |
| SWE-bench/SWE-bench_Multilingual | Task swe_bench_multilingual_%_resolvedMetric swe_bench_multilingual_%_resolvedComparison conditions not established | 71.3 | [Model Card](https://huggingface.co/Qwen/Qwen3.6-27B) Reported by a third party | Evaluated revision not stated | 2026-08-10 |
| SWE-bench/SWE-bench_Verified | Task swe_bench_%_resolvedMetric swe_bench_%_resolvedComparison conditions not established | 77.2 | [Model Card](https://huggingface.co/Qwen/Qwen3.6-27B) Reported by a third party | Evaluated revision not stated | 2026-04-22 |
| ScaleAI/SWE-bench_Pro | Task SWE_Bench_ProMetric SWE_Bench_ProComparison conditions not established | 53.5 | [Model Card](https://huggingface.co/Qwen/Qwen3.6-27B) Reported by a third party | Evaluated revision not stated | 2026-04-22 |
| TIGER-Lab/MMLU-Pro | Task mmlu_proMetric mmlu_proComparison conditions not established | 86.2 | [Model Card](https://huggingface.co/Qwen/Qwen3.6-27B) Reported by a third party | Evaluated revision not stated | 2026-04-22 |
| benchflow/skillsbench | Task skillsbench_v1_1Metric skillsbench_v1_1Setup SkillsBench Avg5. Evaluated via OpenCode on 78 tasks (self-contained subset, excluding API-dependent tasks); avg of 5 runs. Mapped to the Hub's benchflow/skillsbench task skillsbench_v1_1.Comparison conditions not established | 48.2 | [Qwen3.6-27B model card — Benchmark Results (Language > Coding Agent)](https://huggingface.co/Qwen/Qwen3.6-27B) Reported by a third party | Evaluated revision not stated | 2026-04-21 |
| cais/hle | Task hleMetric hleComparison conditions not established | 24 | [Model Card](https://huggingface.co/Qwen/Qwen3.6-27B) Reported by a third party | Evaluated revision not stated | 2026-04-22 |
| harborframework/terminal-bench-2.0 | Task terminalbench_2Metric terminalbench_2Setup Harbor/Terminus-2 harness; 3h timeout, 32 CPU/48 GB RAM; temp=1.0, top_p=0.95, top_k=20, max_tokens=80K, 256K ctx; avg of 5 runs.Comparison conditions not established | 59.3 | [Model Card](https://huggingface.co/Qwen/Qwen3.6-27B) Reported by a third party | Evaluated revision not stated | 2026-06-23 |
| internlm/WildClawBench | Task avg_costMetric avg_costComparison conditions not established | 20.91 | WildClawBench Reported by a third party | Evaluated revision not stated | 2026-08-11 |
| internlm/WildClawBench | Task avg_timeMetric avg_timeComparison conditions not established | 421 | WildClawBench Reported by a third party | Evaluated revision not stated | 2026-08-11 |
| internlm/WildClawBench | Task overallMetric overallComparison conditions not established | 43.2 | WildClawBench Reported by a third party | Evaluated revision not stated | 2026-08-11 |

## Memory Requirements

| Precision | Weights in memory |
| --- | --- |
| As published | 55.6 GB |
| 16-bit | 55.6 GB |
| 8-bit | 27.8 GB |
| 4-bit | 13.9 GB |

Weights only, from the published parameter count; the key-value cache and runtime add to this.

## Hosted Prices

| Host | Input / output | Unit | Observed |
| --- | --- | --- | --- |
| DeepInfra | $0.32 / $3.20 | input / output, per million tokens | Oct 24, 2026 |
| OVHcloud | $0.47 / $3.19 | input / output, per million tokens | Oct 24, 2026 |

From the [SAVRN Index](https://savrn.com/ai-index/pricing/open-models).

## Built on This Model

- Quantized from[Qwen3.6-27B-FP8](https://savrn.com/models/qwen3-6-27b-fp8)
- Derived from[Qwen3.6-27B-FP8](https://savrn.com/models/qwen3-6-27b-fp8)
- Quantized from[Qwen3.6-27B-GGUF](https://savrn.com/models/qwen3-6-27b-gguf)
- Derived from[Qwen3.6-27B-GGUF](https://savrn.com/models/qwen3-6-27b-gguf)
- Quantized from[Qwen3.6-27B-MTP-GGUF](https://savrn.com/models/qwen3-6-27b-mtp-gguf)
- Derived from[Qwen3.6-27B-MTP-GGUF](https://savrn.com/models/qwen3-6-27b-mtp-gguf)
- Quantized from[Qwen3.6-27B-NVFP4](https://savrn.com/models/qwen3-6-27b-nvfp4)
- Derived from[Qwen3.6-27B-NVFP4](https://savrn.com/models/qwen3-6-27b-nvfp4)
- Derived from[Bonsai-27B-mlx-1bit](https://savrn.com/models/bonsai-27b-mlx-1bit)
- Derived from[Ternary-Bonsai-27B-mlx-2bit](https://savrn.com/models/ternary-bonsai-27b-mlx-2bit)
- Quantized from[Qwen3.6-27B-AWQ-INT4](https://savrn.com/models/qwen3-6-27b-awq-int4)
- Derived from[Qwen3.6-27B-AWQ-INT4](https://savrn.com/models/qwen3-6-27b-awq-int4)
- Quantized from[Huihui-Qwen3.6-27B-abliterated-AWQ-MTP](https://savrn.com/models/huihui-qwen3-6-27b-abliterated-awq-mtp)
- Derived from[Huihui-Qwen3.6-27B-abliterated-AWQ-MTP](https://savrn.com/models/huihui-qwen3-6-27b-abliterated-awq-mtp)
- Derived from[minsik-repro](https://savrn.com/models/minsik-repro)
- Derived from[Logics-SWE-Qwen3.6-27B](https://savrn.com/models/logics-swe-qwen3-6-27b)
- Derived from[qwen36-27b-sae2m-l42](https://savrn.com/models/qwen36-27b-sae2m-l42)
- Derived from[qwen3.6-27b-mlp-jlens](https://savrn.com/models/qwen3-6-27b-mlp-jlens)
- Adapter of[olens-qwen3.6-27b-l42](https://savrn.com/models/olens-qwen3-6-27b-l42)
- Derived from[olens-qwen3.6-27b-l42](https://savrn.com/models/olens-qwen3-6-27b-l42)

## Compare Qwen3.6-27B

- [Qwen3.6-27B vs Qwen3.8-27B](https://savrn.com/models/compare/qwen3-6-27b-vs-qwen3-8-27b)
- [gemma-4-26B-A4B-it vs Qwen3.6-27B](https://savrn.com/models/compare/gemma-4-26b-a4b-it-vs-qwen3-6-27b)
- [Qwen3.5-27B vs Qwen3.6-27B](https://savrn.com/models/compare/qwen3-5-27b-vs-qwen3-6-27b)

## Questions About Qwen3.6-27B

### How much GPU memory does Qwen3.6-27B need?

About 66.7 GB at 16-bit and 16.7 GB at 4-bit: the weights (27.8B parameters) plus a working margin. A long context needs more.

### What is the cheapest GPU to run Qwen3.6-27B on?

At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

### Can I use Qwen3.6-27B commercially?

Yes. Qwen3.6-27B is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

### What is Qwen3.6-27B's context length?

262,144 tokens, from the maximum position embeddings in its published configuration.

## Similar Models

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[OrcaRouter](https://savrn.com/model-publishers/orcarouter)

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Access requested at publisher apache-2.0 27.8B parameters transformers

[View model](https://savrn.com/models/qwen3-8-27b-uncensored)

## Qwen

[All models and datasets](https://savrn.com/model-publishers/qwen)

## Versions

- [6a9e13bd6fc8](https://savrn.com/models/qwen3-6-27b/versions/6a9e13bd6fc8) · current 2026-10-24

## Explore More

- [All image and text to text models](https://savrn.com/models/tasks/image-and-text-to-text)
- [All models under apache-2.0](https://savrn.com/models/licenses/apache-2-0)
- [Model comparisons](https://savrn.com/models/comparisons)
- [The model directory](https://savrn.com/models)
- [Open model prices by host](https://savrn.com/ai-index/pricing/open-models)

## Source

- Repository metadata, read 2026-10-19.
- [Qwen website](https://qwen.ai/)
- [Hugging Face record](https://huggingface.co/Qwen/Qwen3.6-27B)
- [How the hub is built](https://savrn.com/model-hub/methodology)