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CostPerPrompt

Qwen3.8 27B API Pricing

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

Input per 1M tokens
$0.214
Output per 1M tokens
$2.55
Cached input per 1M
$0.15
30% cheaper than fresh input

Where Qwen3.8 27B sits on price

At $2.55 per million output tokens, Qwen3.8 27B is a mid tier model — 1.2× the median output price of $2.08, which puts it cheaper than 42% and pricier than 58% of the models we track. It sits 43th cheapest of the 53 Alibaba (Qwen) models we track. Output costs 11.9× 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
392,157
One full context fill
$0.214
Cheaper than
42% of tracked models

Cached input is 30% cheaper. On an input-heavy workload you need roughly a 83% 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 Qwen3.8 27B

These three workloads are the ones teams actually run on a mid-priced model — a $2.55/1M 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. $0.0046 $69.60
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0019 $575
Long-context analysis — 200 runs/day (250K in / 4K out) Only possible on large-context models; input cost is nearly the whole bill. $0.0637 $382

Model your exact traffic in the API cost calculator — it preloads Qwen3.8 27B with caching and batch options.

Qwen3.8 27B price history

Alibaba (Qwen) last cut Qwen3.8 27B's output price on Sep 12, 2026 (-15% per output token), from $0.42/$3.00 to $0.214/$2.55 per 1M in/out. That is one of 4 repricings in the 31 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 15, 2026 (tracking began) $0.45 $3.20
Aug 23, 2026 $0.4 $3.00 -6%
Aug 25, 2026 $0.425 $2.55 -15%
Sep 4, 2026 $0.42 $3.00 +18%
Sep 12, 2026 $0.214 $2.55 -15%

Change-points from our daily price snapshots (tracking since Aug 15, 2026; intraday moves between snapshots are not captured).

Qwen3.8 27B vs Nova 2 Lite

The closest-priced alternative from another vendor is Nova 2 Lite (Amazon) — priced within a rounding error on output, with $0.086 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 Nova 2 Lite pricing →

Cheaper alternatives

More Alibaba (Qwen) models

Frequently asked questions

How much does the Qwen3.8 27B API cost?

Qwen3.8 27B costs $0.214 per million input tokens and $2.55 per million output tokens, with cached input at $0.15 per million (30% cheaper). That works out to roughly 392,157 output tokens per dollar.

What does the support chatbot workload cost on Qwen3.8 27B?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0046 per request and $69.60 per month on Qwen3.8 27B. Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill Qwen3.8 27B's 1M context window?

Sending 1M of input in a single request costs $0.214 at $0.214 per million tokens — before any output. With prompt caching that same fill drops to about $0.15 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

Is Qwen3.8 27B worth the price?

Qwen3.8 27B sits in the middle of the market (43 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.