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CostPerPrompt

Qwen3.7 Plus (batch) API Pricing

Alibaba (Qwen) · context window 262K · prices updated 2026-10-30

Input per 1M tokens
$0.23
Output per 1M tokens
$0.92
Cached input per 1M
—
No discounted cached tier on this model

Where Qwen3.7 Plus (batch) sits on price

At $0.92 per million output tokens, Qwen3.7 Plus (batch) is a mid tier model — 2.4× cheaper than the median output price of $2.20, which puts it cheaper than 70% and pricier than 30% of the models we track. It sits 19th cheapest of the 42 Alibaba (Qwen) models we track. Output costs 4.0× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
1,086,957
One full context fill
$0.0603
Cheaper than
70% of tracked models

What real workloads cost on Qwen3.7 Plus (batch)

These three workloads are the ones teams actually run on a mid-priced model — a $0.92/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. $0.0024 $36.57
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0011 $345
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0003 $7.59

Model your exact traffic in the API cost calculator — it preloads Qwen3.7 Plus (batch) with caching and batch options.

Qwen3.7 Plus (batch) price history

Qwen3.7 Plus (batch)'s price has not moved since we began tracking it on Oct 17, 2026 — 13 days of stability in a market where 102 of the 373 models we track have repriced over the same period, including 20 of Alibaba (Qwen)'s own 42 models.

Change-points from our daily price snapshots (tracking since Oct 17, 2026; intraday moves between snapshots are not captured).

Qwen3.7 Plus (batch) vs Codestral 2508

The closest-priced alternative from another vendor is Codestral 2508 (Mistral) — 2% cheaper on output, with $0.07 more per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.

See Codestral 2508 pricing →

Cheaper alternatives

More Alibaba (Qwen) models

Frequently asked questions

› How much does the Qwen3.7 Plus (batch) API cost?

Qwen3.7 Plus (batch) costs $0.23 per million input tokens and $0.92 per million output tokens and no discounted cached-input tier. That works out to roughly 1,086,957 output tokens per dollar.

› What does the support chatbot workload cost on Qwen3.7 Plus (batch)?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0024 per request and $36.57 per month on Qwen3.7 Plus (batch). Conversation history re-sent each turn — the classic prompt-caching win.

› What does it cost to fill Qwen3.7 Plus (batch)'s 262K context window?

Sending 262K of input in a single request costs $0.0603 at $0.23 per million tokens — before any output. There is no cached-input tier on this model, so every repeat of that context is billed at full price. This is why large context windows are cheap to advertise and expensive to actually use.

› Is Qwen3.7 Plus (batch) worth the price?

Qwen3.7 Plus (batch) sits in the middle of the market (19 of 42 by price within Alibaba (Qwen)). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.