Qwen3-VL-2B-Thinking

reasoning
multimodal

Qwen3-VL-2B-Thinking is a reasoning-oriented version of the base 2B-Instruct model, specifically optimized for tasks requiring detailed analysis. A specialized reinforcement learning process taught the model to employ chains of thought when processing visual information. The model's architecture inherits all three key innovations of the base Qwen3-VL version: Interleaved-MRoPE for enhanced video understanding, DeepStack for multi-level fusion of visual and textual features, and Text-Timestamp Alignment for precise temporal localization in video content.

The model supports a 256K token context window, extendable to 1M tokens, enabling it to process multi-page documents and long videos while maintaining context to build accurate logical connections during reasoning generation. An OCR system supporting 32 languages ensures multilingual text recognition in complex shooting conditions. A key feature is the model's ability to self-check and verify its answers when solving visual tasks, which enhances the reliability of the results.

Qwen3-VL-2B-Thinking is optimal for applications on resource-constrained devices that still require detailed analysis of visual information and explainable answers or agent-based decisions. The model is effective for developing intelligent quality inspection systems with detailed descriptions of detected defects. However, its greatest value lies in research prototypes, where the transparency of the reasoning process helps to accelerate and optimize fine-tuning and debugging workflows.


Announce Date: 22.10.2025
Parameters: 2B
Context: 263K
Layers: 28
Attention Type: Full Attention
Developer: Qwen
Transformers Version: 4.57.0.dev0
License: Apache 2.0

Public endpoint

Use our pre-built public endpoints for free to test inference and explore Qwen3-VL-2B-Thinking capabilities. You can obtain an API access token on the token management page after registration and verification.
Model Name Context Type GPU Status Link
There are no public endpoints for this model yet.

Private server

Rent your own physically dedicated instance with hourly or long-term monthly billing.

We recommend deploying private instances in the following scenarios:

  • maximize endpoint performance,
  • enable full context for long sequences,
  • ensure top-tier security for data processing in an isolated, dedicated environment,
  • use custom weights, such as fine-tuned models or LoRA adapters.

Recommended server configurations for hosting Qwen3-VL-2B-Thinking

Prices:
Name GPU Price, hour TPS Max Concurrency
teslat4-3.32.64.160
262,144.0
pipeline
3 $0.88 1.085 Launch
teslaa10-2.16.64.160
262,144.0
tensor
2 $0.93 1.223 Launch
teslat4-4.16.64.160
262,144.0
tensor
4 $0.96 1.479 Launch
teslaa2-3.32.128.160
262,144.0
pipeline
3 $1.06 1.089 Launch
rtxa5000-2.16.64.160.nvlink
262,144.0
tensor
2 $1.23 1.223 Launch
teslaa2-4.32.128.160
262,144.0
tensor
4 $1.26 1.485 Launch
rtx3090-2.16.64.160
262,144.0
tensor
2 $1.56 1.293 Launch
rtx4090-2.16.64.160
262,144.0
tensor
2 $1.92 1.290 Launch
teslaa100-1.16.64.160
262,144.0
1 $2.37 2.437 Launch
rtx5090-2.16.64.160
262,144.0
tensor
2 $2.93 1.804 Launch
h100-1.16.64.160
262,144.0
1 $3.83 2.435 Launch
h100nvl-1.16.96.160
262,144.0
1 $4.11 2.892 Launch
teslaa100-2.24.96.160.nvlink
262,144.0
tensor
2 $4.61 4.952 Launch
h200-1.16.128.160
262,144.0
1 $4.74 4.427 Launch
h200-2.24.256.160.nvlink
262,144.0
tensor
2 $9.40 8.931 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslat4-3.32.64.160
262,144.0
pipeline
3 $0.88 1.035 Launch
teslaa10-2.16.64.160
262,144.0
tensor
2 $0.93 1.176 Launch
teslat4-4.16.64.160
262,144.0
tensor
4 $0.96 1.433 Launch
teslaa2-3.32.128.160
262,144.0
pipeline
3 $1.06 1.039 Launch
rtxa5000-2.16.64.160.nvlink
262,144.0
tensor
2 $1.23 1.176 Launch
teslaa2-4.32.128.160
262,144.0
tensor
4 $1.26 1.438 Launch
rtx3090-2.16.64.160
262,144.0
tensor
2 $1.56 1.246 Launch
rtx4090-2.16.64.160
262,144.0
tensor
2 $1.92 1.243 Launch
teslaa100-1.16.64.160
262,144.0
1 $2.37 2.391 Launch
rtx5090-2.16.64.160
262,144.0
tensor
2 $2.93 1.758 Launch
h100-1.16.64.160
262,144.0
1 $3.83 2.388 Launch
h100nvl-1.16.96.160
262,144.0
1 $4.11 2.845 Launch
teslaa100-2.24.96.160.nvlink
262,144.0
tensor
2 $4.61 4.905 Launch
h200-1.16.128.160
262,144.0
1 $4.74 4.380 Launch
h200-2.24.256.160.nvlink
262,144.0
tensor
2 $9.40 8.884 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslat4-3.32.64.160
262,144.0
pipeline
3 $0.88 1.004 Launch
teslaa10-2.16.64.160
262,144.0
tensor
2 $0.93 1.148 Launch
teslat4-4.16.64.160
262,144.0
tensor
4 $0.96 1.404 Launch
teslaa2-3.32.128.160
262,144.0
pipeline
3 $1.06 1.008 Launch
rtxa5000-2.16.64.160.nvlink
262,144.0
tensor
2 $1.23 1.148 Launch
teslaa2-4.32.128.160
262,144.0
tensor
4 $1.26 1.410 Launch
rtx3090-2.16.64.160
262,144.0
tensor
2 $1.56 1.218 Launch
rtx4090-2.16.64.160
262,144.0
tensor
2 $1.92 1.215 Launch
teslaa100-1.16.64.160
262,144.0
1 $2.37 2.363 Launch
rtx5090-2.16.64.160
262,144.0
tensor
2 $2.93 1.729 Launch
h100-1.16.64.160
262,144.0
1 $3.83 2.360 Launch
h100nvl-1.16.96.160
262,144.0
1 $4.11 2.817 Launch
teslaa100-2.24.96.160.nvlink
262,144.0
tensor
2 $4.61 4.877 Launch
h200-1.16.128.160
262,144.0
1 $4.74 4.352 Launch
h200-2.24.256.160.nvlink
262,144.0
tensor
2 $9.40 8.856 Launch

Related models

Need help?

Contact our dedicated neural networks support team at nn@immers.cloud or send your request to the sales department at sale@immers.cloud.