Qwen3.6 27B
Qwen · released Apr 27, 2026
Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...
Specification
- Context window
- 262K
- Max output
- 262K
- Knowledge cutoff
- Not stated
- Parameters
- 27.8B
- Licence
- apache-2.0
- Serving providers
- 9
- Moderated
- No
- Uptime
- 100.0%
Intelligence
37.7
85th percentile
Coding
53.7
Coding Index
Agentic
27.5
Agentic Index
Output speed
77 t/s
Median across providers
Latency
445ms
Time to first token
Cost per task
$0.32
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- τ²-bench (Telecom)94.2%
- GPQA Diamond84.2%
- AA-LCR (long context)73.3%
- IFBench67.6%
- SciCode39.8%
- Terminal-Bench Hard34.8%
- Humanity's Last Exam23.1%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| τ²-bench (Telecom) | 94.2% |
| GPQA Diamond | 84.2% |
| AA-LCR (long context) | 73.3% |
| IFBench | 67.6% |
| SciCode | 39.8% |
| Terminal-Bench Hard | 34.8% |
| Humanity's Last Exam | 23.1% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- MiMo-V2.5Xiaomi38.0
- Grok 4.20xAI38.0
- Grok 4.3xAI37.9
- Ling-3.0-flashInclusionAI37.8
- Qwen3.6 27BQwen37.7
- GPT-5.1OpenAI37.5
- Gemini 3.5 Flash LiteGoogle37.4
- Claude Sonnet 4.6Anthropic36.8
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| MiMo-V2.5 | 38.0 |
| Grok 4.20 | 38.0 |
| Grok 4.3 | 37.9 |
| Ling-3.0-flash | 37.8 |
| Qwen3.6 27B | 37.7 |
| GPT-5.1 | 37.5 |
| Gemini 3.5 Flash Lite | 37.4 |
| Claude Sonnet 4.6 | 36.8 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $0.6
- Output / 1M tokens
- $3.6
- Cached input / 1M
- $0.12
- Blended 3:1
- $1.35
One task, estimated
$0.32
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).