Qwen3 VL 32B Instruct is Alibaba's language model with a 262K context window and up to 33K output tokens, available from 3 providers, starting at $0.104 / 1M input and $0.416 / 1M output. A 32B dense vision-language model from the Qwen3 series with significantly enhanced text understanding, visual perception, and multimodal reasoning capabilities.
Capabilities
Input2/5
Text✓
Image✓
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities3/13
Reasoning·
Adaptive Reasoning·
Function Calling✓
Parallel Function Calling·
Structured Outputs✓
Native JSON Schema✓
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | Batch | ||
|---|---|---|---|---|
| Input $ / 1M | Output $ / 1M | Input $ / 1M | Output $ / 1M | |
| $0.16 | $0.64 | $0.08 | $0.32 | |
| $0.9 | $0.9 | — | — | |
| $0.104 | $0.416 | — | — | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host Qwen3 VL 32B Instruct, ranked by cheapest on-demand price. The model needs about 77 GB of GPU memory at FP16 precision (estimated from its parameter count), so treat the fit as guidance rather than a guarantee.
All clouds
FP16 (full precision)
US Dollar ($)
Instance | Cloud | GPU | VRAM | Price | Cheapest region | |
|---|---|---|---|---|---|---|
| Standard_NP20s | 2× AMD Alveo U250 FPGA (64GB) | 128 GB | $3.30/hr | westus2 | ||
| g7e.2xlarge | RTX PRO Server 6000 | 96 GB | $3.36/hr | us-east-1 | ||
| Standard_NC24ads_A100_v4 | NVIDIA A100 | 80 GB | $3.67/hr | westus2 | ||
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| Qwen3 VL 32B Instruct | 262K | $0.104 | $0.416 | Current | |
| Qwen3 VL 8B Instruct | 256K | $0.080 | $0.200 | Available |