Qwen2 VL 2B Instruct
Qwen2 VL 2B Instruct is Alibaba's language model with a 33K context window, starting at $0.1 / 1M input and $0.1 / 1M output. A compact 2-billion-parameter multimodal vision-language LLM from Alibaba's Qwen2-VL series, designed for lightweight image-text understanding tasks.
Capabilities
Input1/5
Text✓
Image·
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities0/13
Reasoning·
Adaptive Reasoning·
Function Calling·
Parallel Function Calling·
Structured Outputs·
Native JSON Schema·
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | |
|---|---|---|
| Input $ / 1M | Output $ / 1M | |
| $0.1 | $0.1 | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host Qwen2 VL 2B Instruct, ranked by cheapest on-demand price. The model needs about 5 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_NV4as_v4 |  Azure | AMD Radeon Instinct MI25 | 16 GB | $0.233/hr | westus2 | |
| g4ad.xlarge |  AWS | Radeon Pro V520 | 8 GB | $0.379/hr | us-east-1 | |
| g5g.xlarge | AWS | T4g | 16 GB | $0.420/hr | us-east-1 | |
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| Qwen2 VL 2B Instruct | — | 33K | $0.100 | $0.100 | Current |
| Qwen2 VL 72B Instruct | — | 131K | $0.130 | $0.400 | Available |
| Qwen2 VL 7B Instruct | — | 131K | $0.020 | $0.060 | Available |