ModelPriceWatch.com
Last scan 2026-10-02 Models tracked 273 Providers 35 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Qwen3.5-27B

by Alibaba · 27B parameters

Current mid tier open weights cheap tier

Today's price · per 1M tokens

Input

$0.300

per 1M tokens

Output

$2.40

per 1M tokens

Blended

$0.825

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. Thinking-mode output is billed at the same rate as non-thinking. No context-cache or batch rate is printed for this SKU, so cached input is left unset rather than assumed. Gateway resellers quote lower routed rates ($0.195/$1.56). 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.

Source: official Alibaba pricing · read MODELPRICEWATCH.COM · 2026-10-02

Price receipt

We read Alibaba's own pricing page on and found qwen3.5-27b 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 fcf23526c5.

Overview

Open-weights Qwen3.5 dense model served by Alibaba, the model's maker, on Model Studio. $0.30/$2.40 per 1M tokens, a single 0–256K tier, with thinking-mode output billed at the same rate as non-thinking. 256K-token context, text-only.

Run it yourself

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 supported
Input 1/4
Text ✓ Image Audio Video
Output
Text ✓
Features 2/9
Prompt caching Reasoning Coding Fast inference Long context ✓ Open weights ✓ Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Percentile vs all tracked models 21.9th2 independent measurements
Percentile per $/Mtok 26.7

We hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.

Independent composite scores
  • AA-Omniscience Index: -44 (−100–100)
  • LMSYS Chatbot Arena: 1407.9 ELO (Human preference)
How it stacks up
  • Ranks #145 of 189 comparably-measured models by percentile score, across 2 independent measurements
  • Ranks #107 of 189 comparably-tested models by normalized performance per dollar

Source: Artificial Analysis, LMSYS Chatbot Arena (UC Berkeley) · 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
mid-tieropen-weights

Availability verified: — listed on Alibaba's own page