Qwen3.6 27B — Benchmark Scores, Pricing & Performance Analysis
Qwen3.6 27B by Alibaba demonstrates competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.
Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.
General Benchmarks
Artificial Analysis composite intelligence score across 10 sub-benchmarks
Artificial Analysis (via OpenRouter)Coding Benchmarks
Artificial Analysis composite coding score
Artificial Analysis (via OpenRouter)Reasoning Benchmarks
Artificial Analysis composite score for multi-step tool-using tasks
Artificial Analysis (via OpenRouter)Multi-turn service agent making tool calls under strict policy constraints
OpenRouter (measured)Cost Benchmarks
Cost per 1M cached input tokens — the price that actually applies to a long agent conversation
OpenRouter APIContext Benchmarks
Available from 24 providers
The same model costs different amounts depending on who serves it. You can bring your own key for 5 of these — connect it here.
| Provider | Input / 1M | Output / 1M | Cached in | Context | Your key |
|---|---|---|---|---|---|
| Pendra | $0 | $0 | — | 262K | — |
| QVAC | $0 | $0 | — | 262K | — |
| CrofAI | $0.2 | $1.5 | $0.04 | 262K | — |
| NanoGPT | $0.203 | $2.24 | $0.1015 | 260K | — |
| Merge Gateway | $0.289 | $2.4 | — | 131K | — |
| OpenRouter | $0.3 | $2 | $0.03 | 262K | Supported |
| SiliconFlow | $0.3 | $3.2 | — | 262K | — |
| Vultr | $0.3 | $2 | — | 262K | — |
| Abacus | $0.32 | $3.2 | — | 262K | — |
| ai& | $0.32 | $3.2 | — | 262K | — |
| Deep Infra | $0.32 | $3.2 | — | 262K | Supported |
| EmpirioLabs AI | $0.412564 | $2.475384 | $0.412564 | 256K | — |
| Cortecs | $0.446 | $3.008 | — | 262K | — |
| Kilo Gateway | $0.45 | $2.7 | — | 262K | — |
| Synthetic | $0.45 | $3.6 | $0.45 | 262K | — |
| Hugging Face | $0.47 | $3.19 | — | 262K | Supported |
| OVHcloud AI Endpoints | $0.47 | $3.19 | — | 262K | — |
| STACKIT | $0.53 | $0.76 | — | 262K | — |
| Alibaba | $0.6 | $3.6 | — | 262K | Supported |
| Groq | $0.6 | $3 | $0.3 | 131K | Supported |
| Ofox | $0.6 | $3.6 | — | 256K | — |
| Pioneer | $0.6 | $0.6 | $0.6 | 33K | — |
| Weights & Biases | $0.6 | $3.6 | $0.12 | 262K | — |
| Blue Claw | — | — | — | 197K | — |
Qwen3.6 27B — Benchmark Scores Overview
Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).
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Qwen3.6 27B — Frequently Asked Questions
How much does Qwen3.6 27B cost?
Qwen3.6 27B costs $0.30 per 1M input tokens and $2.0 per 1M output tokens. This makes it one of the more affordable models.
What is the context window of Qwen3.6 27B?
Qwen3.6 27B has a context window of 262K tokens. This determines how much text, conversation history, and code the model can process in a single request.
Who created Qwen3.6 27B?
Qwen3.6 27B was created by Alibaba. It is classified as a open source model in our catalogue.
Is Qwen3.6 27B open source?
Yes, Qwen3.6 27B is an open-source model. The model weights are publicly available for download and self-hosting.