ModelPriceWatch.com
Last scan 2026-10-08 Models tracked 278 Providers 37 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Qwen3.8-Max

by Alibaba · 2.4T parameters

Current flagship mid tier

Today's price · per 1M tokens

Input

$2.00

per 1M tokens

Output

$6.00

per 1M tokens

Blended

$3.00

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

Cached input

$0.200

10% of input — prompt caching

How this price is scoped: Alibaba Model Studio International list price, single 0<Token≤1M tier — unlike qwen3-max this SKU is not tiered by request size. Explicit context-cache hits bill at 10% of the input rate (the cached_input_per_mtok we track); implicit-cache hits bill at 20%.

Source: official Alibaba pricing · read MODELPRICEWATCH.COM · 2026-10-08

Price receipt

We read Alibaba's own pricing page on and found qwen3.8-max 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 167fe0b7ad.

Overview

Alibaba's current proprietary flagship — a 2.4T-parameter mixture-of-experts model with a 1M-token context that takes text, image and video input and returns text. $2.00/$6.00 per 1M tokens, a single flat tier across the whole 1M context, with thinking tokens billed at the output rate. The open weights shipped on 2026-08-08 as Qwen3.8-2.4T-A95B, which Alibaba now also sells as its own Model Studio SKU at the same $2.00/$6.00 rate; the price here is for this proprietary multimodal SKU.

Capabilities

struck through = not supported
Input 3/4
Text ✓ Image ✓ Audio Video ✓
Output
Text ✓
Features 3/9
Prompt caching ✓ Reasoning Coding Fast inference Long context ✓ Open weights Multimodal ✓ Web search Realtime

Benchmark performance

accuracy % · higher is better
Avg benchmark score84.9%
Perf per $/Mtok28.3
GPQA Diamond vendor
92.6%
SWE-Bench Verified
85.6%
Terminal-Bench 2.1
81.3%
LiveCodeBench
87.9%
Humanity's Last Exam vendor
43.6%
Independent composite scores
  • AA Intelligence Index: 40.2 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: 3.4 (−100–100)
  • GDPval-AA v2: 1735.2 ELO (Real-world work tasks, human baseline = 1000)
  • LMSYS Chatbot Arena: 1480.6 ELO (Human preference)
How it stacks up
  • Ranks #3 of 98 benchmarked models by average score
  • Ranks #25 of 191 comparably-measured models by percentile score, across 7 independent measurements
  • Ranks #115 of 191 comparably-tested models by normalized performance per dollar
  • Strongest at Terminal-Bench 2.1 — 81.3%, #15 of 48

Source: Artificial Analysis, Artificial Analysis (Terminal-Bench 2.1, 'Qwen3.8 Max' row, slug qwen3-8-max-0803), Vals AI (LiveCodeBench v6; 2026-08-03 release, temp 0.7, no effort printed) · updated · See full rankings →

Specifications

Provider
Alibaba
Context window
1M tokens
Modality
text, image, video
Parameters
2.4T
Open source
No — proprietary
Released
Status
Current
Last updated
Tags
flagshipcaching

Availability verified: — listed on Alibaba's own page