Qwen3-4B

reasoning

Qwen3-4B represents the next level in the series. Built on a deeper architecture with 4 billion parameters, it features 36 layers and double the number of attention heads (32/8), delivering significant improvements in understanding and generation quality across all supported domains.

The model demonstrates substantial advancements in tasks requiring complex, step-by-step reasoning, and its integrated thinking modes allow for adjusting the depth of analysis based on query complexity. With support for 119 languages and superior semantic extraction capabilities, it is especially effective for multilingual document analysis and cross-linguistic tasks.

Qwen3-4B is ideally suited for professional applications that require deep document analysis — such as legal review, scientific research, technical documentation, and literary analysis. The model excels at summarization, multilingual translation, and organizing academic content in educational projects.


Announce Date: 29.04.2025
Parameters: 4B
Context: 132K
Layers: 36
Attention Type: Full or Sliding Window Attention
Developer: Qwen
Transformers Version: 4.51.0
License: Apache 2.0

Public endpoint

Use our pre-built public endpoints for free to test inference and explore Qwen3-4B 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 Qwen3-4B

Prices:
Name GPU Price, hour TPS Max Concurrency
teslat4-2.16.32.160
131,072.0
tensor
2 $0.54 1.125 Launch
teslaa2-2.16.32.160
131,072.0
tensor
2 $0.57 1.125 Launch
teslaa10-2.16.64.160
131,072.0
tensor
2 $0.93 1.925 Launch
rtx2080ti-3.16.64.160
131,072.0
pipeline
3 $0.95 1.036 Launch
rtx2080ti-4.16.32.160
131,072.0
tensor
4 $1.12 1.447 Launch
teslav100-1.12.64.160
131,072.0
1 $1.20 1.264 Launch
rtxa5000-2.16.64.160.nvlink
131,072.0
tensor
2 $1.23 1.925 Launch
rtx3090-2.16.64.160
131,072.0
tensor
2 $1.56 1.925 Launch
rtx5090-1.16.64.160
131,072.0
1 $1.59 1.264 Launch
rtx3080-4.16.64.160
131,072.0
tensor
4 $1.82 1.247 Launch
rtx4090-2.16.64.160
131,072.0
tensor
2 $1.92 1.925 Launch
teslaa100-1.16.64.160
131,072.0
1 $2.37 3.664 Launch
h100-1.16.64.160
131,072.0
1 $3.83 3.664 Launch
h100nvl-1.16.96.160
131,072.0
1 $4.11 4.364 Launch
h200-1.16.128.160
131,072.0
1 $4.74 6.714 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslat4-2.16.32.160
131,072.0
tensor
2 $0.54 1.028 Launch
teslaa2-2.16.32.160
131,072.0
tensor
2 $0.57 1.028 Launch
teslaa10-2.16.64.160
131,072.0
tensor
2 $0.93 1.828 Launch
rtx2080ti-4.16.32.160
131,072.0
tensor
4 $1.12 1.350 Launch
teslav100-1.12.64.160
131,072.0
1 $1.20 1.167 Launch
rtxa5000-2.16.64.160.nvlink
131,072.0
tensor
2 $1.23 1.828 Launch
rtx3090-2.16.64.160
131,072.0
tensor
2 $1.56 1.828 Launch
rtx5090-1.16.64.160
131,072.0
1 $1.59 1.167 Launch
rtx3080-4.16.64.160
131,072.0
tensor
4 $1.82 1.150 Launch
rtx4090-2.16.64.160
131,072.0
tensor
2 $1.92 1.828 Launch
teslaa100-1.16.64.160
131,072.0
1 $2.37 3.567 Launch
h100-1.16.64.160
131,072.0
1 $3.83 3.567 Launch
h100nvl-1.16.96.160
131,072.0
1 $4.11 4.267 Launch
h200-1.16.128.160
131,072.0
1 $4.74 6.617 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslat4-3.32.64.160
131,072.0
pipeline
3 $0.88 1.486 Launch
teslaa10-2.16.64.160
131,072.0
tensor
2 $0.93 1.625 Launch
teslat4-4.16.64.160
131,072.0
tensor
4 $0.96 2.147 Launch
teslaa2-3.32.128.160
131,072.0
pipeline
3 $1.06 1.486 Launch
rtx2080ti-4.16.32.160
131,072.0
tensor
4 $1.12 1.147 Launch
rtxa5000-2.16.64.160.nvlink
131,072.0
tensor
2 $1.23 1.625 Launch
teslaa2-4.32.128.160
131,072.0
tensor
4 $1.26 2.147 Launch
rtx3090-2.16.64.160
131,072.0
tensor
2 $1.56 1.625 Launch
rtx4090-2.16.64.160
131,072.0
tensor
2 $1.92 1.625 Launch
teslav100-2.16.64.240
131,072.0
tensor
2 $2.22 2.425 Launch
teslaa100-1.16.64.160
131,072.0
1 $2.37 3.364 Launch
rtx5090-2.16.64.160
131,072.0
tensor
2 $2.93 2.425 Launch
h100-1.16.64.160
131,072.0
1 $3.83 3.364 Launch
h100nvl-1.16.96.160
131,072.0
1 $4.11 4.064 Launch
h200-1.16.128.160
131,072.0
1 $4.74 6.414 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.