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CostPerPrompt

Qwen3 VL 8B Thinking API Pricing

Alibaba (Qwen) · context window 131K · prices updated 2026-09-20

Input per 1M tokens
$0.18
Output per 1M tokens
$2.10
Cached input per 1M
No discounted cached tier on this model

Where Qwen3 VL 8B Thinking sits on price

At $2.10 per million output tokens, Qwen3 VL 8B Thinking is a mid tier model — right at the median output price of $2.00, which puts it cheaper than 49% and pricier than 51% of the models we track. It sits 39th cheapest of the 53 Alibaba (Qwen) models we track. Output costs 11.7× 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
476,190
One full context fill
$0.0236
Cheaper than
49% of tracked models

What real workloads cost on Qwen3 VL 8B Thinking

These three workloads are the ones teams actually run on a mid-priced model — a $2.10/1M 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. $0.0038 $57.60
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0016 $477
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0004 $12.15

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

Qwen3 VL 8B Thinking price history

Qwen3 VL 8B Thinking's price has not moved since we began tracking it on Aug 2, 2026 — 49 days of stability in a market where 79 of the 335 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 VL 8B Thinking vs R1 0528

The closest-priced alternative from another vendor is R1 0528 (DeepSeek) — 2% more expensive on output, with $0.32 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 R1 0528 pricing →

Cheaper alternatives

More Alibaba (Qwen) models

Frequently asked questions

How much does the Qwen3 VL 8B Thinking API cost?

Qwen3 VL 8B Thinking costs $0.18 per million input tokens and $2.10 per million output tokens and no discounted cached-input tier. That works out to roughly 476,190 output tokens per dollar.

What does the support chatbot workload cost on Qwen3 VL 8B Thinking?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0038 per request and $57.60 per month on Qwen3 VL 8B Thinking. Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill Qwen3 VL 8B Thinking's 131K context window?

Sending 131K of input in a single request costs $0.0236 at $0.18 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 VL 8B Thinking worth the price?

Qwen3 VL 8B Thinking sits in the middle of the market (39 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.