Alibaba (Qwen) · Workhorses · prices checked 12 November 2026

Qwen3.7 Plus API pricing per million tokens

Qwen3.7 Plus costs $0.40 per million input tokens and $1.60 per million output, with a 1M context window.

AIGROW credit covers Claude Opus 5.5, Claude Fable 5.2, Claude Fable 5.1, GPT-6 Astra, Claude Sonnet 5.5, GPT-6.1 Sol, GPT-6.1 Terra, Grok 4.7 and Gemini 4 Argon. See API credit

$25 a month brings $110 of API credit and cancels any time; $25 once buys $100. US dollars per million tokens, standard rate, shortest context band. Number 78 of 256 on the Epoch Capabilities Index by Epoch AI, data of 12 November 2026. CC BY 4.0

Qwen3.7 Plus · list price
$0.40 / $1.60per million tokens, input / output
1,000 support replies
$1.84
Cached input
Not published
Context window
1,000,000 tokens
Released
Not published
Weights
Closed weights

From Alibaba (Qwen)’s own pages, 12 November 2026.

Qwen3.7 Plus costs $0.40 per million input tokens and $1.60 per million output tokens on Alibaba (Qwen)’s own API. At those prices 1,000 support replies cost $1.84, the 14th cheapest of 49 priced models on our list. It reads up to 1,000,000 tokens at once.

AIGROW API credit per million input / output tokens: Claude Opus 5.5 $1.60 / $8.00, Claude Fable 5.2 $3.20 / $16.00, Claude Fable 5.1 $4.00 / $20.00, GPT-6 Astra $2.50 / $12.50, Claude Sonnet 5.5 $0.80 / $4.00, GPT-6.1 Sol $0.50 / $2.50, GPT-6.1 Terra $0.25 / $1.25, Grok 4.7 $0.50 / $1.50 and Gemini 4 Argon $1.00 / $5.00. That is up to 75% below list price. See API credit

What a job costs

Three jobs, 1,000 runs of each, at the list price above, and where each puts Qwen3.7 Plus among the 49 models with a list price.

Qwen3.7 Plus: cost of 1,000 runs of three jobs
Job1,000 runsAmong 49
Support reply3,000 in, 400 out.$1.8414th cheapest
Document summary25,000 in, 1,000 out.$11.6015th cheapest
Agent task80,000 in (70,000 cached), 3,000 out.$36.8025th most expensive

The token counts are ours, chosen to look like real work; the prices are Alibaba (Qwen)’s. All three jobs stay under 100,000 tokens a request, below every long-context surcharge on the list. Alibaba (Qwen) publishes no cache price for this model, so the agent task bills its repeated context at the full input rate.

Qwen3.7 Plus on real small-business tasks

What the AIGROW benchmark measured when Qwen3.7 Plus was given 20 office tasks, each marked pass or fail by fixed checks.

Success rate
85% of 20 runs passed (95% interval 64 to 95%), 10th of 36 models.
Cost per 1,000 passes
$3.58, failed runs included.
Answer time
29 s median, 41 s at the 90th percentile.
Strongest and weakest
Appointment scheduling (100% passed) and review replies (0%).

The small print

What the base rate above leaves out, copied from the maker’s pages: surcharges, discounts, promotions and cache pricing.

Shown as 'List price (Limited-time 20% off)': the list price is recorded, the discounted rate would be $0.32 / $1.28. Input 256K to 1M: $1.20 / $4.80 list. Qwen3.7 Plus snapshot from 26 May 2026. International deployment. Cache discounts as for Qwen3.8 Max. Context taken from the top pricing tier (1M).

Qwen3.7 Plus against the models it is weighed with

Each comparison puts both list prices side by side and costs the same three jobs on each.

vs Gemini 3.8 Flash
Two low-cost mid-tier models with long context, suited to bulk text work.

Other Alibaba (Qwen) models

Other Alibaba (Qwen) models
ModelInputOutputContext1,000 replies
Qwen3.8 FlashAlibaba (Qwen)$0.15$0.471M$0.64
Qwen3.8 27BAlibaba (Qwen) · open weights$0.50$3.001M$2.70
Qwen3.8 MaxAlibaba (Qwen)$2.00$6.001M$8.40

Where the price comes from

Read on 12 November 2026. Each price is the standard rate for the shortest context band, with no batch or priority discount; long-context surcharges, batch rates and promotions are in each model’s small print. No price was taken from a reseller.

Compare Qwen3.7 Plus with 53 other models

The price list sets every model’s input and output price side by side, with what a support reply, a document summary and an agent task cost on each.

Prices checked 12 November 2026 · See them by release date