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Last scan 2026-09-22 Models tracked 266 Providers 35 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Qwen3.7-Plus

by Alibaba

Current Intro price mid tier cheap tier
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Today's price · per 1M tokens

Input

$0.400

per 1M tokens

Output

$1.60

per 1M tokens

Blended

$0.700

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

How this price is scoped: Alibaba Model Studio International (Singapore) list price, 0<Token≤256K tier. The 256K<Token≤1M tier is billed higher ($1.20/$4.80). On a limited-time 20% off to $0.32 in / $1.28 out per 1M (list price tracked); the $0.32/$1.28 figures are 20% off the printed list, not amounts Alibaba prints. Context-cache hits discount input only; no cache rate is printed for this SKU, so cached input is left unset rather than assumed.

Source: official Alibaba pricing · read MODELPRICEWATCH.COM · 2026-09-22

Price receipt

We read Alibaba's own pricing page on and found qwen3.7-plus 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 e3da5c31e6.

Qwen3.7-Plus is available on 3 hosts. See the full cheapest-first comparison on the consolidated Qwen3.7-Plus page →

Overview

Alibaba's current-generation Qwen3.7 mid tier on Model Studio. $0.40/$1.60 per 1M tokens up to 256K context; the 256K–1M tier is billed at $1.20/$4.80. Thinking and non-thinking modes bill at the same output rate. 1M-token context, text-only.

Capabilities

struck through = not supported
Input 1/4
Text ✓ Image Audio Video
Output
Text ✓
Features 1/9
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 56.7th3 independent measurements
Percentile per $/Mtok 81

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 Intelligence Index: 25.8 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: 1.1 (−100–100)
  • LMSYS Chatbot Arena: 1455.6 ELO (Human preference)
How it stacks up
  • Ranks #60 of 181 comparably-measured models by percentile score, across 3 independent measurements
  • Ranks #34 of 181 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
1M tokens
Modality
text
Parameters
Proprietary
Open source
No — proprietary
Released
Status
Current
Last updated
Tags
mid-tier

Availability verified: — listed on Alibaba's own page

Try on Alibaba Official pricing page