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CostPerPrompt

Qwen3.6 35B A3B API Pricing

Alibaba (Qwen) · context window 262K · prices updated 2026-09-20

Input per 1M tokens
$0.1
Output per 1M tokens
$0.9
Cached input per 1M
$0.05
50% cheaper than fresh input

Where Qwen3.6 35B A3B sits on price

At $0.9 per million output tokens, Qwen3.6 35B A3B is a mid tier model — 2.2× cheaper than the median output price of $2.00, which puts it cheaper than 70% and pricier than 30% of the models we track. It sits 21th cheapest of the 53 Alibaba (Qwen) models we track. Output costs 9.0× 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
1,111,111
One full context fill
$0.0262
Cheaper than
70% of tracked models

Cached input is 50% cheaper. On an input-heavy workload you need roughly a 50% 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 Qwen3.6 35B A3B

These three workloads are the ones teams actually run on a mid-priced model — a $0.9/1M 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. $0.0018 $26.40
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0008 $225
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0002 $5.55

Model your exact traffic in the API cost calculator — it preloads Qwen3.6 35B A3B with caching and batch options.

Qwen3.6 35B A3B price history

Alibaba (Qwen) last cut Qwen3.6 35B A3B's output price on Aug 28, 2026 (-10% per output token), from $0.14/$1.00 to $0.1/$0.9 per 1M in/out. That is one of 3 repricings in the 49 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 9, 2026 $0.15 $1.00 0%
Aug 17, 2026 $0.14 $1.00 0%
Aug 28, 2026 $0.1 $0.9 -10%

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

Qwen3.6 35B A3B vs Codestral 2508

The closest-priced alternative from another vendor is Codestral 2508 (Mistral) — priced within a rounding error on output, with $0.2 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 Qwen3.6 35B A3B API cost?

Qwen3.6 35B A3B costs $0.1 per million input tokens and $0.9 per million output tokens, with cached input at $0.05 per million (50% cheaper). That works out to roughly 1,111,111 output tokens per dollar.

What does the support chatbot workload cost on Qwen3.6 35B A3B?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0018 per request and $26.40 per month on Qwen3.6 35B A3B. Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill Qwen3.6 35B A3B's 262K context window?

Sending 262K of input in a single request costs $0.0262 at $0.1 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 Qwen3.6 35B A3B worth the price?

Qwen3.6 35B A3B sits in the middle of the market (21 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.