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CostPerPrompt

Qwen3.5 Plus 2026-02-15 API Pricing

Alibaba (Qwen) · context window 1M · prices updated 2026-09-15

Input per 1M tokens
$0.26
Output per 1M tokens
$1.56
Cached input per 1M
No discounted cached tier on this model

Where Qwen3.5 Plus 2026-02-15 sits on price

At $1.56 per million output tokens, Qwen3.5 Plus 2026-02-15 is a mid tier model — 1.3× cheaper than the median output price of $2.08, which puts it cheaper than 58% and pricier than 42% of the models we track. It sits 31th cheapest of the 53 Alibaba (Qwen) models we track. Output costs 6.0× more than input here, so anything that makes the model write less — tighter instructions, structured output, lower max_tokens — moves the bill more than trimming the prompt.

Output tokens per $1
641,026
One full context fill
$0.26
Cheaper than
58% of tracked models

What real workloads cost on Qwen3.5 Plus 2026-02-15

These three workloads are the ones teams actually run on a mid-priced model — a $1.56/1M 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. $0.0035 $52.26
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0016 $468
Long-context analysis — 200 runs/day (250K in / 4K out) Only possible on large-context models; input cost is nearly the whole bill. $0.0712 $427

Model your exact traffic in the API cost calculator — it preloads Qwen3.5 Plus 2026-02-15 with caching and batch options.

Qwen3.5 Plus 2026-02-15 price history

Qwen3.5 Plus 2026-02-15's price has not moved since we began tracking it on Aug 2, 2026 — 44 days of stability in a market where 78 of the 334 models we track have repriced over the same period, including 17 of Alibaba (Qwen)'s own 53 models.

Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).

Qwen3.5 Plus 2026-02-15 vs GPT-4.1 Mini

The closest-priced alternative from another vendor is GPT-4.1 Mini (OpenAI) — 3% more expensive on output, with $0.14 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 GPT-4.1 Mini pricing →

Cheaper alternatives

More Alibaba (Qwen) models

Frequently asked questions

How much does the Qwen3.5 Plus 2026-02-15 API cost?

Qwen3.5 Plus 2026-02-15 costs $0.26 per million input tokens and $1.56 per million output tokens and no discounted cached-input tier. That works out to roughly 641,026 output tokens per dollar.

What does the support chatbot workload cost on Qwen3.5 Plus 2026-02-15?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0035 per request and $52.26 per month on Qwen3.5 Plus 2026-02-15. Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill Qwen3.5 Plus 2026-02-15's 1M context window?

Sending 1M of input in a single request costs $0.26 at $0.26 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 Qwen3.5 Plus 2026-02-15 worth the price?

Qwen3.5 Plus 2026-02-15 sits in the middle of the market (31 of 53 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.