ModelPriceWatch.com
Last scan 2026-10-15 Models tracked 288 Providers 39 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Qwen3.8-27B

by Alibaba · 27B parameters

Current mid tier open weights mid tier

Today's price · per 1M tokens

Input

$0.500

per 1M tokens

Output

$3.00

per 1M tokens

Blended

$1.13

blended $/1M — 3:1 weighted input:output

How this price is scoped: Alibaba Model Studio International list price, single 0<Token≤1M tier, read off the vendor's open-source Qwen3.8 table directly beneath the Qwen3.8-2.4T-A95B row. Alibaba marks the SKU as eligible for the context-caching discount but prints no cache rate in that table, so cached input is left unset rather than inferred — the same treatment as its Qwen3.8-2.4T-A95B sibling. Alibaba's own endpoint on OpenRouter quotes $0.425/$2.55; the number here is the maker's published rate card, not the gateway's.

Source: official Alibaba pricing · read MODELPRICEWATCH.COM · 2026-10-15

Price receipt

We read Alibaba's own pricing page on and found qwen3.8-27b listed with a price on the same row — that read is where the number above comes from. We keep the page text we read; its content hash is 5851e18998.

Overview

The 27B dense open-weights model in Alibaba's Qwen3.8 family, served by Alibaba itself on Model Studio at $0.50/$3.00 per 1M tokens — a single flat tier across the whole 1M-token context, with thinking and non-thinking modes billed alike. It undercuts the Qwen3.6-27B row on the same rate card ($0.60/$3.60) and carries roughly four times its context. Text in, text out.

Run it yourself

Deploy this open model on rented GPUs

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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
Avg benchmark score34%
Perf per $/Mtok30.2
GPQA Diamond vendor
89.2%
Terminal-Bench 2.1 vendor
73%
LiveCodeBench vendor
90.3%
OSWorld-Verified vendor
84.3%
Humanity's Last Exam
34%
Independent composite scores
  • AA Intelligence Index: 33.7 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: -10 (−100–100)
  • GDPval-AA v2: 1463.2 ELO (Real-world work tasks, human baseline = 1000)
  • LMSYS Chatbot Arena: 1437.1 ELO (Human preference)
How it stacks up
  • Ranks #99 of 100 benchmarked models by average score
  • Ranks #92 of 195 comparably-measured models by percentile score, across 5 independent measurements
  • Ranks #73 of 195 comparably-tested models by normalized performance per dollar
  • Strongest at Humanity's Last Exam — 34%, #50 of 81

44.3 tokens/sec output

Source: Artificial Analysis, Artificial Analysis (text-only, no tools, xhigh), LMSYS Chatbot Arena (UC Berkeley) · updated · See full rankings →

Specifications

Provider
Alibaba
Context window
1M 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