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CostPerPrompt

Qwen3.5-35B-A3B API Pricing

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

Input per 1M tokens
$0.14
Output per 1M tokens
$1.00
Cached input per 1M
$0.05
64% cheaper than fresh input

Where Qwen3.5-35B-A3B sits on price

At $1.00 per million output tokens, Qwen3.5-35B-A3B is a mid tier model — 2.2× cheaper than the median output price of $2.20, which puts it cheaper than 69% and pricier than 31% of the models we track. It sits 25th cheapest of the 42 Alibaba (Qwen) models we track. Output costs 7.1× 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
1,000,000
One full context fill
$0.0367
Cheaper than
69% of tracked models

Cached input is 64% cheaper. On an input-heavy workload you need roughly a 39% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.

What real workloads cost on Qwen3.5-35B-A3B

These three workloads are the ones teams actually run on a mid-priced model — a $1.00/1M 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. $0.0021 $31.50
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0009 $276
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0002 $6.60

Model your exact traffic in the API cost calculator — it preloads Qwen3.5-35B-A3B with caching and batch options.

Qwen3.5-35B-A3B price history

Alibaba (Qwen) last raised Qwen3.5-35B-A3B's output price on Oct 21, 2026, from $0.15/$1.00 to $0.14/$1.00 per 1M in/out. That is one of 14 repricings in the 89 days we have tracked it — worth knowing before you hard-code today's rate into a budget.

Date Input /1M Output /1M Output change
Aug 2, 2026 (tracking began) $0.14 $1.00 —
Aug 13, 2026 $0.25 $1.25 +25%
Aug 14, 2026 $0.225 $1.80 +44%
Aug 21, 2026 $0.25 $1.25 -31%
Sep 5, 2026 $0.08 $0.75 -40%
Sep 6, 2026 $0.3125 $1.25 +67%
Sep 15, 2026 $0.1625 $1.30 +4%
Sep 20, 2026 $0.3125 $1.25 -4%
Sep 28, 2026 $0.1625 $1.30 +4%
Oct 2, 2026 $0.15 $1.00 -23%
Oct 6, 2026 $0.08 $0.75 -25%
Oct 7, 2026 $0.15 $1.00 +33%
Oct 9, 2026 $0.08 $0.75 -25%
Oct 14, 2026 $0.15 $1.00 +33%
Oct 21, 2026 $0.14 $1.00 0%

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

Qwen3.5-35B-A3B vs DeepSeek V3.1 Terminus

The closest-priced alternative from another vendor is DeepSeek V3.1 Terminus (DeepSeek) — priced within a rounding error on output, with $0.13 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 DeepSeek V3.1 Terminus pricing →

Cheaper alternatives

More Alibaba (Qwen) models

Frequently asked questions

› How much does the Qwen3.5-35B-A3B API cost?

Qwen3.5-35B-A3B costs $0.14 per million input tokens and $1.00 per million output tokens, with cached input at $0.05 per million (64% cheaper). That works out to roughly 1,000,000 output tokens per dollar.

› What does the support chatbot workload cost on Qwen3.5-35B-A3B?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0021 per request and $31.50 per month on Qwen3.5-35B-A3B. Conversation history re-sent each turn — the classic prompt-caching win.

› What does it cost to fill Qwen3.5-35B-A3B's 262K context window?

Sending 262K of input in a single request costs $0.0367 at $0.14 per million tokens — before any output. With prompt caching that same fill drops to about $0.0131 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

› Is Qwen3.5-35B-A3B worth the price?

Qwen3.5-35B-A3B sits in the middle of the market (25 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.