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CostPerPrompt

Qwen3 VL 8B Thinking API Pricing

Alibaba (Qwen) · context window 131K · prices updated 2026-08-02

Input per 1M tokens
$0.18
Output per 1M tokens
$2.10
Cached input per 1M
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What real workloads cost on Qwen3 VL 8B Thinking

Workload Per request Per month
1K short requests/day (500 in / 150 out) $0.0004 $12.15
Support chatbot, 500 convs/day (~5K in / 1.4K out per conv) $0.0038 $57.60
Document pipeline, 10K docs/day (3K in / 500 out) $0.0016 $477

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

Cheaper alternatives

Qwen3.5-122B-A10B Alibaba (Qwen) $0.26 in · $2.08 out Qwen3.6 27B Alibaba (Qwen) $0.3 in · $2.00 out Mistral Medium 3.1 Mistral $0.4 in · $2.00 out

More Alibaba (Qwen) models

Qwen3.7 Max Qwen3.6 Max Preview Qwen2.5 VL 72B Instruct Qwen3 Max Thinking

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. In practice, a typical short request (500 tokens in, 150 out) costs about $0.0004.

› What does 1,000 requests per day cost on Qwen3 VL 8B Thinking?

At 500 input + 150 output tokens per request, 1,000 requests/day costs about $12.15 per month. Heavier workloads scale linearly — use our API cost calculator to model your exact traffic.

› How can I reduce Qwen3 VL 8B Thinking costs?

Three levers, in order of impact: (1) route routine requests to a cheaper tier and keep Qwen3 VL 8B Thinking for hard cases; (2) enable prompt caching, which typically halves chatbot bills; (3) use the batch API for non-urgent jobs at a ~50% discount.

› Is Qwen3 VL 8B Thinking worth the price?

It depends on task difficulty. Flagship models earn their premium on complex reasoning, coding, and high-stakes output; mini/flash tiers handle classification, extraction and routine chat at 10–30× lower cost. Benchmark a sample of your real workload on both before committing.