Today's price · per 1M tokens
Input
$0.600
per 1M tokens
Output
$3.60
per 1M tokens
Blended
$1.35
blended $/1M — 3:1 weighted input:output
How this price is scoped: Alibaba Model Studio International list price, single 0<Token≤256K tier, from the vendor's open-source Qwen table. No context-cache or batch rate is printed for this SKU, so cached input is left unset rather than assumed. Alibaba's own gateway endpoint quotes a lower routed rate of $0.45/$2.70. Alibaba's pricing page states that it lists standard prices only and directs buyers to the Model Studio console for current offers, and this SKU's row carries no discount label, so the standard list rate is the one tracked here — the same basis as every other Alibaba row on this site.
Price receipt
We read Alibaba's own pricing page on and found qwen3.6-27b listed with a price on the same row — that read is where the number above comes from, recorded as a new model. We keep the page text we read; its content hash is 72f3ec2eb2.
Available on 2 hosts
cheapest blended first · $ per 1M tokensQwen3.6-27B is sold by 2 providers. Prices are per 1M tokens (blended = (3×input + 1×output) ÷ 4). The first-party row is the model maker; “vs first-party” shows each host’s blended price relative to it.
| Host | Input | Output | Blended | vs first-party |
|---|---|---|---|---|
| Groq details → | $0.600 | $3.00 | $1.20 | -11% |
| Alibaba first-party | $0.600 | $3.60 | $1.35 | — |
Overview
Qwen3.6-27B served by Alibaba, the model's maker, on Model Studio. $0.60/$3.60 per 1M tokens, a single 0–256K tier, with thinking-mode output billed at the same rate as non-thinking. Open weights, 256K-token context, text-only.
Deploy this open model on rented GPUs
Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.
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Capabilities
struck through = not supportedBenchmark performance
accuracy % · higher is betterEvery per-benchmark score we hold for this model is reported by its own vendor, so none is counted toward an accuracy average or any ranking. The percentile above is its standing across the independent composites below.
- AA Intelligence Index: 21.9 (Artificial Analysis composite across reasoning, knowledge and coding evals)
- AA-Omniscience Index: -20 (−100–100)
- Ranks #106 of 181 comparably-measured models by percentile score, across 2 independent measurements
- Ranks #109 of 181 comparably-tested models by normalized performance per dollar
Source: Artificial Analysis, Qwen model card · updated · See full rankings →
Specifications
- Provider
- Alibaba
- Context window
- 262K tokens
- Modality
- text
- Parameters
- 27B
- Open source
- Yes — open weights available
- Released
- Status
- Current
- Last updated
- Tags
Availability verified: — listed on Alibaba's own page