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-Flash

by Alibaba

Current budget cheap tier

Today's price · per 1M tokens

Input

$0.100

per 1M tokens

Output

$0.400

per 1M tokens

Blended

$0.175

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

How this price is scoped: Alibaba Model Studio International list price, a single 0<Token≤1M tier, so the rate does not change with input size. The vendor's table prices the `qwen3.5-flash` alias and its dated snapshot (2026-02-23, which the alias currently resolves to) at identical rates. The row is labelled as eligible for a 50% batch-inference discount and a context-caching discount; both are billing modes a buyer opts into, so the standard real-time rate is the one tracked here. No standalone cached-input rate is printed, so cached input is left unset rather than assumed. Gateway resellers quote lower routed rates ($0.065/$0.26).

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

Price receipt

We read Alibaba's own pricing page on and found qwen3.5-flash 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 5e21cd8ad7.

Overview

Alibaba's Qwen3.5 budget hosted model on Model Studio, still sold alongside the newer 3.6/3.7 Flash generations. $0.10/$0.40 per 1M tokens across a single 0–1M tier. 1M-token context, text-only.

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 24.5th1 independent measurement
Percentile per $/Mtok 136.1

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
  • LMSYS Chatbot Arena: 1396.7 ELO (Human preference)
How it stacks up
  • Ranks #139 of 189 comparably-measured models by percentile score, across 1 independent measurement
  • Ranks #16 of 189 comparably-tested models by normalized performance per dollar

Source: LMSYS Chatbot Arena (UC Berkeley) · updated · See full rankings →

Specifications

Provider
Alibaba
Context window
1M tokens
Modality
text
Parameters
Proprietary
Open source
No — proprietary
Released
Status
Current
Last updated
Tags
budgetfast

Availability verified: — listed on Alibaba's own page