Qwen3.6 27B
by Alibaba (Qwen) · qwen/qwen3.6-27b · #187 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:31 AM UTC · refreshed hourly
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...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.45
per 1M tokens
Output
$2.70
per 1M tokens
Blended (3:1)
$1.01
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Qwen3.6 27B (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $1.01 | $0.0486 | — |
| 50% | $1.01 | $0.0486 | −0% |
| 90% | $1.01 | $0.0486 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.001035 | $1.03 |
| Document summary | 8,000 | 1,000 | $0.0063 | $6.30 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0189 | $18.90 |
| Long-context analysis | 150,000 | 5,000 | $0.081 | $81.00 |
Performance
Intelligence Index
37.1
AA composite quality
Coding Index
53.7
Math Index
—
Agentic Index
27
Output speed
60 tok/s
median
Time to first token
1.47s
median
Time to first answer
96.29s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| GPQA Diamond | 84.2% |
| Humanity's Last Exam | 21.6% |
| SciCode | 39.8% |
| IFBench | 67.6% |
| AA-LCR (Long Context Reasoning) | 68.7% |
| Terminal-Bench Hard | 34.8% |
| Terminal-Bench 2.1 | 60.7% |
| τ²-Bench (Telecom) | 94.2% |
| τ³-Bench Banking | 15.3% |
Specs
Context window
262K
tokens
Max output
66K
tokens
Input modalities
text, image, video
Tokenizer
Qwen3